From 76d7baf1f3ece5a9bf459c12d3cce04bf3a129e2 Mon Sep 17 00:00:00 2001
From: beniroquai <bene.d@gmx.de>
Date: Sun, 4 Aug 2024 22:17:43 +0200
Subject: [PATCH 1/5] update from MAc

---
 .DS_Store                                     | Bin 14340 -> 14340 bytes
 config/imcontrol_options.json                 |   9 +++++----
 flowStopController/config.json                |   5 +++--
 .../example_uc2_hik_flowstop.json             |   6 ++++--
 .../example_uc2_multicolour_daheng_lena.json  |   3 ++-
 .../example_virtual_microscope.json           |   6 +++---
 6 files changed, 17 insertions(+), 12 deletions(-)

diff --git a/.DS_Store b/.DS_Store
index ebb3b22b39694a8ebb276aaf47e7127ea0e8d3a2..1cd4ca4776f16d3b5dbce0dcefa9bc389dc9341f 100644
GIT binary patch
delta 398
zcmXYtO(=tL9LIhCHrr#5dN#IsW_c#E&7LtEW-W`Pu^fcCE^_mpi(0$6aH3xh$jwWn
zte(8TgmO}H@N#gWxENDTa`Jlnd=B6G^c^1_A5K1JQcAQadTpjk(P$q9Y}1%&q|_Xb
z*ZO5!l|PV>ZSjED^Uc1RM1s>Aiz|ZdvA+I+!J!Ef%n~M*MX@vs6U3L7C~0X<ljHZw
zHqXzl(pOteGxljXXgb%VvP8S06cbj|p~i4)8|m~ulAJ~0sln-?DSd<mc{+41(_Uc?
z%^1RJ2g=~02ZKMjh$Spz14lT<2~Kg2Yuw-#_ekLtX}sZsWiuV)nUOh|la(<St73I5
z!aB(AlF<1RM}00G7QRc&>Tq+oB|_c8JT>PT&_MNal#+S9-h9zgz{^%0r@i{c03YOp
zQBF|(X^5}q^l0LQj9<4lTARr27XO3oG;8b;SFwh5Y+?&L*u_2$aE1%q;gMe45}p*k
UJOxGLc~>c))=Tzx8>J=F7gz0a*Z=?k

delta 829
zcmaLVOGs2v7zgn4zcV)XdN7YVjyjGgXw5j|V@&gv<s%JKNi#={N*nVAL!(ZPkIcvl
zS80J9dSFCBWndJ^lu=aHq9PYXVWA7Lg`30%im)fr)p6CrZ}<H<oW<||^}2dpcjr`k
zm($^Hvsx!1sMLOIG@|5BBW>0GwY3gUkf>67G~z7dow{I%d@+1apd{6^@b2!k4Os~>
zX&G7kyDrx=6cM|I&#sU2c%uh3LS{N2R^{<=<6gw@fe@{M2Iy_owwl`A^^CQ<<x1IU
zZ*z3Wh4wbt%||SUxm_OuiBFrt1WNgWsT7nK#9PZ~mD_PtW_D4U2xLLQmIO+x4mp||
znOpKD))cC@IqeOylQl}>@}rIERA18}x4IoI&8&1K%-%%#)A*sDs%CqW9Ghn)%fmoK
z5=E?}fRvCr;v!w7kDMo0$USnOjFK1R4VfY{<TLq77RWF1oBV+q0SE*`5cDu29%fjO
zhCJk>0HvrvC3c|-`_O<!$T)}=w4)P8(1lYtjiP>>!C73uRb0b$+`t_?!5E(5ImR)8
z5BP`~%wZm1;KdI?68r@!Xa%ES65<83kSgQ|`9cX#wnU?hms^r?ZiUxSyuG-jG-DOs
zP)V9vyM!2`4b_FktTQL4Wo|CuV^QUr@CbdRA&T-5Z6c#_q9V!sCYD1Z<z8)MAx$x)
zN=ge%wH(s~Lxv<W_?B#%BPo3_wQtR(`BD&yBu0E+6dJaPY)oXl!mRy|e^va~<UN@r
zpUAv|zX%mXgdqkdBq0-9kgITSMG<zO96J^CCGtA#haCstM3chqLMys)49C%flL~zw
z`e9t6zlcFx!etEMCWdhfw=s$bc!)=Mtd#K*Z!y9DCPrgg0gm(JCB4GH3FgsQzo|Vx
N4ex}dE9c&5-9MoQ(<cA`

diff --git a/config/imcontrol_options.json b/config/imcontrol_options.json
index ffd9f81..26ce2ff 100644
--- a/config/imcontrol_options.json
+++ b/config/imcontrol_options.json
@@ -1,5 +1,5 @@
 {
-    "setupFileName": "example_uc2_lightsheethik.json",
+    "setupFileName": "example_uc2_multicolour_daheng_lena.json",
     "recording": {
         "outputFolder": "./ImSwitch/ImSwitch/recordings",
         "includeDateInOutputFolder": true
@@ -7,8 +7,10 @@
     "watcher": {
         "outputFolder": "/Users/bene/ImSwitchConfig/scripts"
     },
-    "setupFileName_VIRT": "example_uc2_virtual_flowstop.json",
-    "setupFileNameVirt": "example_virtual_microscope.json",
+    "setupFileName_VIRT": "example_virtual_microscope.json",
+    "setupFileName_FlowStop": "example_uc2_hik_flowstop.json",
+    "setupFileName_VirtFlow": "example_uc2_virtual_flowstop.json",
+    "setupFileNameLS": "example_uc2_lightsheethik.json",
     "setupFileName_ANDREW": "example_uc2_hik_histo_andrew_1-12-24.json",
     "setupFileNameESP": "example_uc2_esp32cam.json",
     "setupFileNameHypha": "example_uc2_hypha.json",
@@ -16,7 +18,6 @@
     "setupFileNamePCO": "example_uc2_pco.json",
     "setupFileName_": "example_uc2_hik_histo.json",
     "setupFileName___": "example_uc2_lighsheethik.json",
-    "setupFileNameDG": "example_uc2_multicolour_daheng_lena.json",
     "setupFileName222": "example_uc2_hik_histo.json",
     "setupFileNam_holo": "example_uc2_hik_holo.json",
     "setupFileName111": "example_uc2_lightsheetdaheng.json",
diff --git a/flowStopController/config.json b/flowStopController/config.json
index 7da2d74..7eac631 100644
--- a/flowStopController/config.json
+++ b/flowStopController/config.json
@@ -1,11 +1,12 @@
 {
-    "wasRunning": true,
+    "wasRunning": false,
     "defaultFlowRate": 100,
     "defaultNumberOfFrames": -1,
     "defaultExperimentName": "FlowStopExperiment",
     "defaultFrameRate": 1,
     "defaultSavePath": "./",
-    "defaultAxisFlow": "X",
+    "defaultFileFormat": "JPG",
+    "defaultAxisFlow": "A",
     "defaultAxisFocus": "Z",
     "defaultDelayTimeAfterRestart": 1
 }
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_hik_flowstop.json b/imcontrol_setups/example_uc2_hik_flowstop.json
index 098bea0..144f9ab 100644
--- a/imcontrol_setups/example_uc2_hik_flowstop.json
+++ b/imcontrol_setups/example_uc2_hik_flowstop.json
@@ -8,7 +8,8 @@
             "enableauto": true,
             "stepsizeZ": 0.3125,
             "stepsizeA": 0.3125,
-            "initialSpeed": {"X": 15000, "Y":  15000,"Z": 15000, "A": 15000}
+            "maxSpeedZ": 200,
+            "maxSpeedA": 15000
           },
           "axes": [
             "A",
@@ -25,7 +26,8 @@
       "managerProperties": {
         "host_": "192.168.43.129",
         "serialport": "/dev/cu.SLAB_USBtoUART", 
-        "baudrate":500000, 
+        "baudrate_":500000, 
+        "baudrate":115200,
         "debug":1
       }
     }
diff --git a/imcontrol_setups/example_uc2_multicolour_daheng_lena.json b/imcontrol_setups/example_uc2_multicolour_daheng_lena.json
index 2bb79b4..8ba6b8b 100644
--- a/imcontrol_setups/example_uc2_multicolour_daheng_lena.json
+++ b/imcontrol_setups/example_uc2_multicolour_daheng_lena.json
@@ -44,7 +44,8 @@
         "serialport": "COM3",
         "serialport_": "/dev/cu./dev/cu.SLAB_USBtoUART",
         "debug":1 , 
-        "baudrate": 500000
+        "baudrate_": 500000,
+        "baudrate": 115200
       }
     }
   },
diff --git a/imcontrol_setups/example_virtual_microscope.json b/imcontrol_setups/example_virtual_microscope.json
index 461427e..30cc85f 100644
--- a/imcontrol_setups/example_virtual_microscope.json
+++ b/imcontrol_setups/example_virtual_microscope.json
@@ -29,7 +29,7 @@
     "VirtualMicroscope": {
       "managerName": "VirtualMicroscopeManager",
       "managerProperties": {
-        "imagePath":"simplant"
+        "imagePath_":"simplant"
       }
     }
   },
@@ -95,12 +95,12 @@
     "MCT",
     "ROIScan",
     "HistoScan",
-    "Hypha",
-    "imswitch_arkitekt"
+    "Hypha"
   ],
   "nonAvailableWidgets": [
     "FocusLock",
     "SIM",
+        "imswitch_arkitekt",
     "DPC",
     "FOVLock",
     "Temperature",

From 67ae22fe5b73de950b568720e44ff2374db51137 Mon Sep 17 00:00:00 2001
From: beniroquai <bene.d@gmx.de>
Date: Sun, 4 Aug 2024 22:19:37 +0200
Subject: [PATCH 2/5] removing unwanted files

---
 .DS_Store                                     |   Bin 14340 -> 14340 bytes
 Connect2ImSwitch.ipynb                        |   119 -
 config/imcontrol_options.json                 |    24 +-
 config/modules.json                           |     3 +-
 example_uc2_hik.json                          |   158 -
 histoController/config.json                   |    10 -
 histoController/csm.json                      |     1 -
 imcontrol_UC2Config/pinDef.json               |    31 -
 imcontrol_setups/.DS_Store                    |   Bin 8196 -> 6148 bytes
 imcontrol_setups/Holisheet_vimba.json         |   105 -
 imcontrol_setups/UC2_labmaite.json            |   131 -
 imcontrol_setups/example_FFT.json             |    38 -
 imcontrol_setups/example_coolLED.json         |   176 -
 imcontrol_setups/example_hamamatsu_SIM.json   |    51 -
 imcontrol_setups/example_histo_daheng.json    |   213 -
 imcontrol_setups/example_laser.json           |    88 -
 imcontrol_setups/example_monalisa.json        |   209 -
 imcontrol_setups/example_ofm.json             |    72 -
 imcontrol_setups/example_pulseStreamer.json   |    21 -
 imcontrol_setups/example_pycromanager.json    |    43 -
 .../example_pycromanager_cam_only.json        |    20 -
 .../example_squid_singleDaheng.json           |    89 -
 imcontrol_setups/example_squid_xyz_only.json  |    31 -
 imcontrol_setups/example_sted.json            |   255 -
 imcontrol_setups/example_uc2.json             |    35 -
 imcontrol_setups/example_uc2_.json            |    67 -
 .../example_uc2_Incubator_WebcamOpenCV.json   |    75 -
 .../example_uc2_Incubator_matrix_vimba.json   |    73 -
 .../example_uc2_STORM_Berlin.json             |    96 -
 imcontrol_setups/example_uc2_autofocus.json   |    66 -
 imcontrol_setups/example_uc2_cellstorm.json   |   155 -
 .../example_uc2_cellstorm_cellphone.json      |    73 -
 imcontrol_setups/example_uc2_config.json      |   154 -
 .../example_uc2_daheng_histo.json             |   213 -
 imcontrol_setups/example_uc2_dynamic42.json   |    99 -
 .../example_uc2_d\303\274sseldorf_vimba.json" |   181 -
 imcontrol_setups/example_uc2_esp32cam.json    |    36 -
 imcontrol_setups/example_uc2_flimlabs.json    |    82 -
 imcontrol_setups/example_uc2_focuslock.json   |   139 -
 imcontrol_setups/example_uc2_hik.json         |   158 -
 imcontrol_setups/example_uc2_hik_histo.json   |   188 -
 .../example_uc2_hik_histo_andrew_1-12-24.json |   165 -
 imcontrol_setups/example_uc2_hik_holo.json    |   133 -
 .../example_uc2_histo_basler.json             |   169 -
 .../example_uc2_histo_daheng.json             |   222 -
 imcontrol_setups/example_uc2_holo_vimba_.json |    97 -
 imcontrol_setups/example_uc2_hpyha.json       |    99 -
 imcontrol_setups/example_uc2_hypha.json       |   125 -
 imcontrol_setups/example_uc2_ism.json         |   122 -
 imcontrol_setups/example_uc2_ism_daheng.json  |   159 -
 imcontrol_setups/example_uc2_jannick.json     |    94 -
 .../example_uc2_jetson_nano_cam.json          |    58 -
 imcontrol_setups/example_uc2_labmaite.json    |   146 -
 imcontrol_setups/example_uc2_labmaite_v2.json |   408 -
 imcontrol_setups/example_uc2_ledmatrix.json   |   128 -
 imcontrol_setups/example_uc2_lightsheet.json  |   106 -
 .../example_uc2_lightsheet_STORM_backup.json  |    84 -
 .../example_uc2_lightsheet_gxipy.json         |   158 -
 ...xample_uc2_lightsheet_gxipy_holisheet.json |   158 -
 .../example_uc2_lightsheet_michael_vimba.json |   160 -
 .../example_uc2_lightsheet_rotating.json      |   139 -
 .../example_uc2_lightsheet_vimba.json         |   138 -
 .../example_uc2_lightsheetdaheng.json         |   177 -
 .../example_uc2_lightsheethik.json            |   184 -
 imcontrol_setups/example_uc2_multicolour.json |    96 -
 .../example_uc2_multicolour_basler.json       |    98 -
 .../example_uc2_multicolour_daheng_lena.json  |   214 -
 .../example_uc2_multicolour_hikvision.json    |   195 -
 imcontrol_setups/example_uc2_oct_eda.json     |   126 -
 imcontrol_setups/example_uc2_opencvcam.json   |   117 -
 imcontrol_setups/example_uc2_pco.json         |   138 -
 .../example_uc2_pco_cellstorm.json            |    95 -
 imcontrol_setups/example_uc2_sim_daheng.json  |    85 -
 .../example_uc2_storm_alliedvision.json       |   139 -
 imcontrol_setups/example_uc2_stormrecon.json  |   169 -
 imcontrol_setups/example_uc2_testhisto.json   |   216 -
 imcontrol_setups/example_uc2_thorcam.json     |    74 -
 .../example_uc2_virtual_flowstop.json         |   130 -
 .../example_uc2_wei_alliedvision.json         |   133 -
 imcontrol_setups/example_uc2_xyz_only.json    |    99 -
 .../example_virtual_microscope.json           |   118 -
 imcontrol_setups/example_xiao.json            |    36 -
 imcontrol_setups/fovlock.json                 |    49 -
 imcontrol_setups/nvidia_jetson.json           |   102 -
 imcontrol_sim/.DS_Store                       |   Bin 6148 -> 0 bytes
 imcontrol_sim/488/SIM_ (1).bmp                |   Bin 2074678 -> 0 bytes
 imcontrol_sim/488/SIM_ (10).bmp               |   Bin 2074678 -> 0 bytes
 imcontrol_sim/488/SIM_ (2).bmp                |   Bin 2074678 -> 0 bytes
 imcontrol_sim/488/SIM_ (3).bmp                |   Bin 2074678 -> 0 bytes
 imcontrol_sim/488/SIM_ (4).bmp                |   Bin 2074678 -> 0 bytes
 imcontrol_sim/488/SIM_ (5).bmp                |   Bin 2074678 -> 0 bytes
 imcontrol_sim/488/SIM_ (6).bmp                |   Bin 2074678 -> 0 bytes
 imcontrol_sim/488/SIM_ (7).bmp                |   Bin 2074678 -> 0 bytes
 imcontrol_sim/488/SIM_ (8).bmp                |   Bin 2074678 -> 0 bytes
 imcontrol_sim/488/SIM_ (9).bmp                |   Bin 2074678 -> 0 bytes
 .../635/SLM_1,40_1,80_33_wl635_ang0_pha0.bmp  |   Bin 2074678 -> 0 bytes
 .../SLM_1,40_1,80_33_wl635_ang0_pha120.bmp    |   Bin 2074678 -> 0 bytes
 .../SLM_1,40_1,80_33_wl635_ang0_pha240.bmp    |   Bin 2074678 -> 0 bytes
 .../635/SLM_1,40_1,80_33_wl635_ang1_pha0.bmp  |   Bin 2074678 -> 0 bytes
 .../SLM_1,40_1,80_33_wl635_ang1_pha120.bmp    |   Bin 2074678 -> 0 bytes
 .../SLM_1,40_1,80_33_wl635_ang1_pha240.bmp    |   Bin 2074678 -> 0 bytes
 .../635/SLM_1,40_1,80_33_wl635_ang2_pha0.bmp  |   Bin 2074678 -> 0 bytes
 .../SLM_1,40_1,80_33_wl635_ang2_pha120.bmp    |   Bin 2074678 -> 0 bytes
 .../SLM_1,40_1,80_33_wl635_ang2_pha240.bmp    |   Bin 2074678 -> 0 bytes
 imcontrol_slm/.DS_Store                       |   Bin 6148 -> 0 bytes
 imcontrol_slm/info_glyc.json                  |    39 -
 imcontrol_slm/info_oil.json                   |    39 -
 .../StageCalibration-checkpoint.ipynb         |   394 -
 .../Untitled-checkpoint.ipynb                 |     6 -
 imnotebook/StageCalibration.ipynb             |   301 -
 imnotebook/Untitled.ipynb                     |    83 -
 pixelcalibration_uc2.json                     |  1716 -
 scripts/AshlarSnapAndStitch.py                |   114 -
 scripts/MeasureCrossCorrelation..py           |    85 -
 scripts/OFMStitcher.py                        |   149 -
 scripts/OFMStitcherStitchingOnly.py           |    48 -
 scripts/SIM_ZStack_timelapse.py               |    40 -
 scripts/ScanRoots.py                          |    45 -
 scripts/UC2_OCT_control.py                    |    22 -
 scripts/UC2_multicolour_timelapse.py          |    40 -
 scripts/UC2_sendserialtable.py                |    17 -
 scripts/UC2_test_setspeed.py                  |    17 -
 scripts/UC2_timelapse.py                      |    19 -
 scripts/UC2_timelapse_positionlist.py         |    62 -
 scripts/UC2_tomography.py                     |    45 -
 scripts/UC2_zstack_multicolour_timelapse.py   |    65 -
 scripts/Uc2_positionlist.py                   |    28 -
 .../__pycache__/example_import.cpython-38.pyc |   Bin 502 -> 0 bytes
 .../example_imported.cpython-38.pyc           |   Bin 492 -> 0 bytes
 .../__pycache__/example_record.cpython-38.pyc |   Bin 1206 -> 0 bytes
 scripts/alignImagesTimestack.py               |   102 -
 scripts/autofocus_online.py                   |    96 -
 scripts/autofocus_test.py                     |    61 -
 scripts/convertTimeseriesToStack.py           |    60 -
 scripts/detectDifferences.py                  |    34 -
 scripts/example_UC2.py                        |    39 -
 scripts/example_Uc2_multicolour.py            |    67 -
 scripts/example_import.py                     |    26 -
 scripts/example_imported.py                   |    25 -
 scripts/example_record.py                     |    46 -
 scripts/execFunctionExample.py                |     1 -
 scripts/flatfield..py                         |    24 -
 scripts/histoScan.py                          |    38 -
 scripts/histoscan.py                          |    38 -
 scripts/inidividualLEDs.py                    |     7 -
 scripts/loadtimeseries.py                     |    19 -
 scripts/manualcontrol_z.py                    |    30 -
 scripts/position_reproducibilitytest.py       |    33 -
 scripts/readtimelapseimages.py                |    22 -
 scripts/realtimePosUpdate.py                  |    11 -
 scripts/reconstructholo.py                    |    24 -
 scripts/setlaser.py                           |     4 -
 scripts/simseries.py                          |     8 -
 scripts/takeimages.py                         |     6 -
 scripts/testAbsolutePosition.py               |    23 -
 scripts/testnotebook.ipynb                    |   157 -
 scripts/timelapse_autofocus_test.py           |    54 -
 scripts/timelapse_led.py                      |    32 -
 scripts/uc2_move_positoinlist.py              |   112 -
 scripts/uc2_timelpase_multiplexypositoins.py  |    55 -
 temperatureController/temperature.csv         | 28678 ----------------
 uc2_configs/pindefUC2Standalon1.json          |    46 -
 uc2_configs/pindefUC2Standalon2.json          |    46 -
 uc2_configs/pindefWemos.json                  |    47 -
 164 files changed, 3 insertions(+), 43078 deletions(-)
 delete mode 100644 Connect2ImSwitch.ipynb
 delete mode 100644 example_uc2_hik.json
 delete mode 100644 histoController/config.json
 delete mode 100644 histoController/csm.json
 delete mode 100644 imcontrol_UC2Config/pinDef.json
 delete mode 100644 imcontrol_setups/Holisheet_vimba.json
 delete mode 100644 imcontrol_setups/UC2_labmaite.json
 delete mode 100644 imcontrol_setups/example_FFT.json
 delete mode 100644 imcontrol_setups/example_coolLED.json
 delete mode 100644 imcontrol_setups/example_hamamatsu_SIM.json
 delete mode 100644 imcontrol_setups/example_histo_daheng.json
 delete mode 100644 imcontrol_setups/example_laser.json
 delete mode 100644 imcontrol_setups/example_monalisa.json
 delete mode 100644 imcontrol_setups/example_ofm.json
 delete mode 100644 imcontrol_setups/example_pulseStreamer.json
 delete mode 100644 imcontrol_setups/example_pycromanager.json
 delete mode 100644 imcontrol_setups/example_pycromanager_cam_only.json
 delete mode 100644 imcontrol_setups/example_squid_singleDaheng.json
 delete mode 100644 imcontrol_setups/example_squid_xyz_only.json
 delete mode 100644 imcontrol_setups/example_sted.json
 delete mode 100644 imcontrol_setups/example_uc2.json
 delete mode 100644 imcontrol_setups/example_uc2_.json
 delete mode 100644 imcontrol_setups/example_uc2_Incubator_WebcamOpenCV.json
 delete mode 100644 imcontrol_setups/example_uc2_Incubator_matrix_vimba.json
 delete mode 100644 imcontrol_setups/example_uc2_STORM_Berlin.json
 delete mode 100644 imcontrol_setups/example_uc2_autofocus.json
 delete mode 100644 imcontrol_setups/example_uc2_cellstorm.json
 delete mode 100644 imcontrol_setups/example_uc2_cellstorm_cellphone.json
 delete mode 100644 imcontrol_setups/example_uc2_config.json
 delete mode 100644 imcontrol_setups/example_uc2_daheng_histo.json
 delete mode 100644 imcontrol_setups/example_uc2_dynamic42.json
 delete mode 100644 "imcontrol_setups/example_uc2_d\303\274sseldorf_vimba.json"
 delete mode 100644 imcontrol_setups/example_uc2_esp32cam.json
 delete mode 100644 imcontrol_setups/example_uc2_flimlabs.json
 delete mode 100644 imcontrol_setups/example_uc2_focuslock.json
 delete mode 100644 imcontrol_setups/example_uc2_hik.json
 delete mode 100644 imcontrol_setups/example_uc2_hik_histo.json
 delete mode 100644 imcontrol_setups/example_uc2_hik_histo_andrew_1-12-24.json
 delete mode 100644 imcontrol_setups/example_uc2_hik_holo.json
 delete mode 100644 imcontrol_setups/example_uc2_histo_basler.json
 delete mode 100644 imcontrol_setups/example_uc2_histo_daheng.json
 delete mode 100644 imcontrol_setups/example_uc2_holo_vimba_.json
 delete mode 100644 imcontrol_setups/example_uc2_hpyha.json
 delete mode 100644 imcontrol_setups/example_uc2_hypha.json
 delete mode 100644 imcontrol_setups/example_uc2_ism.json
 delete mode 100644 imcontrol_setups/example_uc2_ism_daheng.json
 delete mode 100644 imcontrol_setups/example_uc2_jannick.json
 delete mode 100644 imcontrol_setups/example_uc2_jetson_nano_cam.json
 delete mode 100644 imcontrol_setups/example_uc2_labmaite.json
 delete mode 100644 imcontrol_setups/example_uc2_labmaite_v2.json
 delete mode 100644 imcontrol_setups/example_uc2_ledmatrix.json
 delete mode 100644 imcontrol_setups/example_uc2_lightsheet.json
 delete mode 100644 imcontrol_setups/example_uc2_lightsheet_STORM_backup.json
 delete mode 100644 imcontrol_setups/example_uc2_lightsheet_gxipy.json
 delete mode 100644 imcontrol_setups/example_uc2_lightsheet_gxipy_holisheet.json
 delete mode 100644 imcontrol_setups/example_uc2_lightsheet_michael_vimba.json
 delete mode 100644 imcontrol_setups/example_uc2_lightsheet_rotating.json
 delete mode 100644 imcontrol_setups/example_uc2_lightsheet_vimba.json
 delete mode 100644 imcontrol_setups/example_uc2_lightsheetdaheng.json
 delete mode 100644 imcontrol_setups/example_uc2_lightsheethik.json
 delete mode 100644 imcontrol_setups/example_uc2_multicolour.json
 delete mode 100644 imcontrol_setups/example_uc2_multicolour_basler.json
 delete mode 100644 imcontrol_setups/example_uc2_multicolour_daheng_lena.json
 delete mode 100644 imcontrol_setups/example_uc2_multicolour_hikvision.json
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diff --git a/.DS_Store b/.DS_Store
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diff --git a/Connect2ImSwitch.ipynb b/Connect2ImSwitch.ipynb
deleted file mode 100644
index 8be2ebc..0000000
--- a/Connect2ImSwitch.ipynb
+++ /dev/null
@@ -1,119 +0,0 @@
-{
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "name": "Connect2ImSwitch.ipynb",
-      "provenance": [],
-      "authorship_tag": "ABX9TyO7+5G2ByXDiclG7vRCgssu",
-      "include_colab_link": true
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "language_info": {
-      "name": "python"
-    }
-  },
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
-      },
-      "source": [
-        "<a href=\"https://colab.research.google.com/github/beniroquai/ImSwitchConfig/blob/master/Connect2ImSwitch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 4,
-      "metadata": {
-        "id": "lf4uSP-hBlGr"
-      },
-      "outputs": [],
-      "source": [
-        "import Pyro5.api\n",
-        "#from _serialize import register_serializers\n",
-        "from imswitch.imcontrol.controller.server._serialize import register_serializers \n",
-        "\n",
-        "\n",
-        "register_serializers()\n",
-        "ipaddress = \"0.0.0.0\"\n",
-        "#ipaddress = \"192.168.2.162\"\n",
-        "uri = 'PYRO:ImSwitchServer@'+ipaddress+':54333'\n",
-        "imswitchServer = Pyro5.api.Proxy(uri)\n",
-        "imswitchServer.exec(\"ViewController\", \"liveview\", [True])\n",
-        "#imswitchServer.exec(\"ViewController\", \"liveview\", [False])\n",
-        "imswitchServer.move(positionerName=None, axis=\"X\", dist=1000) \n",
-        "imswitchServer.move(positionerName=None, axis=\"Y\", dist=1000) \n",
-        "image = imswitchServer.get_image()\n",
-        "imswitchServer.exec(\"ViewController\", \"liveview\", [False])"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "imswitchServer.exec(\"ViewController\", \"liveview\", [False])"
-      ],
-      "metadata": {
-        "id": "7GC68Twvj7JJ"
-      },
-      "execution_count": 5,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import matplotlib.pyplot as plt\n",
-        "plt.imshow(image)"
-      ],
-      "metadata": {
-        "id": "Bd-PRJEmkKSO",
-        "outputId": "9063fd0b-3703-49ea-aea2-1eaf668a14a5",
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 287
-        }
-      },
-      "execution_count": 6,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "<matplotlib.image.AxesImage at 0x7fde0398a160>"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 6
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        ""
-      ],
-      "metadata": {
-        "id": "V9sHH5f8l5pz"
-      },
-      "execution_count": null,
-      "outputs": []
-    }
-  ]
-}
\ No newline at end of file
diff --git a/config/imcontrol_options.json b/config/imcontrol_options.json
index 26ce2ff..ee296ca 100644
--- a/config/imcontrol_options.json
+++ b/config/imcontrol_options.json
@@ -1,30 +1,10 @@
 {
-    "setupFileName": "example_uc2_multicolour_daheng_lena.json",
+    "setupFileName": "example_uc2_hik_flowstop.json",
     "recording": {
         "outputFolder": "./ImSwitch/ImSwitch/recordings",
         "includeDateInOutputFolder": true
     },
     "watcher": {
         "outputFolder": "/Users/bene/ImSwitchConfig/scripts"
-    },
-    "setupFileName_VIRT": "example_virtual_microscope.json",
-    "setupFileName_FlowStop": "example_uc2_hik_flowstop.json",
-    "setupFileName_VirtFlow": "example_uc2_virtual_flowstop.json",
-    "setupFileNameLS": "example_uc2_lightsheethik.json",
-    "setupFileName_ANDREW": "example_uc2_hik_histo_andrew_1-12-24.json",
-    "setupFileNameESP": "example_uc2_esp32cam.json",
-    "setupFileNameHypha": "example_uc2_hypha.json",
-    "setupFileNameDPC": "example_uc2_ledmatrix.json",
-    "setupFileNamePCO": "example_uc2_pco.json",
-    "setupFileName_": "example_uc2_hik_histo.json",
-    "setupFileName___": "example_uc2_lighsheethik.json",
-    "setupFileName222": "example_uc2_hik_histo.json",
-    "setupFileNam_holo": "example_uc2_hik_holo.json",
-    "setupFileName111": "example_uc2_lightsheetdaheng.json",
-    "setupFileNameWei": "example_uc2_wei_alliedvision.json",
-    "setupFileNameDaheng": "example_uc2_daheng_histo.json",
-    "setupFileName22": "example_uc2_labmaite.json",
-    "setupFileName11": "example_uc2_multicolour_hikvision.json",
-    "setupFileName2": "example_uc2_sim_daheng.json",
-    "setupFileName1": "example_uc2_storm_alliedvision.json"
+    }
 }
\ No newline at end of file
diff --git a/config/modules.json b/config/modules.json
index 3a371d5..09d5786 100644
--- a/config/modules.json
+++ b/config/modules.json
@@ -1,6 +1,5 @@
 {
     "enabled": [
-        "imcontrol",
-        "imscripting"
+        "imcontrol"
     ]
 }
\ No newline at end of file
diff --git a/example_uc2_hik.json b/example_uc2_hik.json
deleted file mode 100644
index a311ff1..0000000
--- a/example_uc2_hik.json
+++ /dev/null
@@ -1,158 +0,0 @@
-{
-    "positioners": {
-        "ESP32Stage": {
-          "managerName": "ESP32StageManager",
-          "managerProperties": {
-            "rs232device": "ESP32",
-            "isEnable": true,
-            "enableauto": false,
-            "isDualaxis": 0,
-            "stepsizeX": -0.3125,
-            "stepsizeY": -0.3125,
-            "stepsizeZ": 0.3125,
-            "stepsizeA": 0.3125,
-            "homeSpeedX": 15000,
-            "homeSpeedY": 15000,
-            "homeSpeedZ": 15000,
-            "homeDirectionX": 1,
-            "homeDirectionY": 1,
-            "homeDirectionZ": -1,
-            "initialSpeed": {"X": 15000, "Y":  15000,"Z": 15000, "A": 15000}
-          },
-          "axes": [
-            "X",
-            "Y",
-            "Z",
-            "A"
-          ],
-          "forScanning": true,
-          "forPositioning": true
-        }
-      },
-    "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "/dev/cu.SLAB_USBtoUART"
-      }
-    },
-    "VirtualMicroscope": {
-      "managerName": "VirtualMicroscopeManager",
-      "managerProperties": {
-      }
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4,
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-    }
-  },
-  "lasers": {
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "HikCamManager",
-        "managerProperties": {
-            "isRGB": 0,
-            "cameraListIndex": 0,
-            "cameraEffPixelsize": 0.2257,
-            "hikcam": {
-                "exposure": 0,
-                "gain": 0,
-                "blacklevel": 100,
-                "image_width": 1000,
-                "image_height": 1000
-            }
-        },
-        "forAcquisition": true,
-        "forFocusLock": true
-    }
-    },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "fovLock": {
-    "camera": "WidefieldCamera",
-    "positioner": "VirtualStage",
-    "updateFreq": 1, 
-    "piKp":1, 
-    "piKi":1
-    },
-  "webrtc":{},
-  "PixelCalibration": {},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus",
-    "MCT",
-    "UC2Config",
-    "LEDMatrix",
-    "ROIScan",
-    "HistoScan",
-    "PixelCalibration",
-    "Lightsheet",
-    "FOVLock"
-  ],
-  "nonAvailableWidgets":[
-    "Hypha",
-    "FocusLock",
-    "HistoScan",
-    "STORMRecon",
-    "DPC",
-    "ImSwitchServer",
-    "PixelCalibration",
-    "FocusLock"]
-}
diff --git a/histoController/config.json b/histoController/config.json
deleted file mode 100644
index 342aac9..0000000
--- a/histoController/config.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-<<<<<<< Updated upstream
-    "offsetX": -181521.96498054476,
-    "offsetY": -41432.74853801169
-}
-=======
-    "offsetX": -39756.6265060241,
-    "offsetY": -45151.675485008825
-}
->>>>>>> Stashed changes
diff --git a/histoController/csm.json b/histoController/csm.json
deleted file mode 100644
index 87e73b8..0000000
--- a/histoController/csm.json
+++ /dev/null
@@ -1 +0,0 @@
-{"camera_stage_mapping_calibration": {"image_to_stage_displacement": 
\ No newline at end of file
diff --git a/imcontrol_UC2Config/pinDef.json b/imcontrol_UC2Config/pinDef.json
deleted file mode 100644
index 3f29618..0000000
--- a/imcontrol_UC2Config/pinDef.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "general": {
-        "radius": 100.0,
-        "sigma": 35.0,
-        "rotationAngle": 0.0
-    },
-    "pinDef": {
-        "motXstp": 26,
-        "motXdir": 16,
-        "motYstp": 25,
-        "motYdir": 27,
-        "motZstp": 17,
-        "motZdir": 14,
-        "motAstp": 0,
-        "motAdir": 0,
-        "motEnable": 12,
-        "ledArrPin": 4,
-        "ledArrNum": 39,
-        "digitalPin1": 0,
-        "digitalPin2": 0,
-        "digitalPin3": 0,
-        "analogPin1": 0,
-        "analogPin2": 0,
-        "analogPin3": 0,
-        "laserPin1": 19,
-        "laserPin2": 18,
-        "laserPin3": 0,
-        "dacFake1": 0,
-        "dacFake2": 0
-    }
-}
\ No newline at end of file
diff --git a/imcontrol_setups/.DS_Store b/imcontrol_setups/.DS_Store
index be4d2c8639be44ba322ee899df48ab406ba5bf5a..277c1076d2502d9e67c436b551f72a8c3edb3bd9 100644
GIT binary patch
delta 132
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KusNP*4l@8u@f2ME

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diff --git a/imcontrol_setups/Holisheet_vimba.json b/imcontrol_setups/Holisheet_vimba.json
deleted file mode 100644
index 7cca300..0000000
--- a/imcontrol_setups/Holisheet_vimba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-    "detectors": {
-        "WidefieldCamera": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "AVManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "avcam": {
-                    "exposure": 0,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "pixel_format": "Mono12"
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": false
-        }
-    },
-    "lasers": {
-        "Laser Blue": {
-              "analogChannel": null,
-              "digitalLine": null,
-              "managerName": "ESP32LEDLaserManager",
-              "managerProperties": {
-                  "rs232device": "ESP32",
-                  "channel_index": 2,
-                  "filter_change": false, 
-                  "filter_axis": 1,
-                  "filter_position": 0,
-                  "filter_position_init": 0,
-                  "laser_despeckle_period": 0,
-                  "laser_despeckle_amplitude": 0
-              },
-              "wavelength": 488,
-              "valueRangeMin": 0,
-              "valueRangeMax": 32768
-          }          
-    },
-    "positioners": {
-        "LightsheetStage": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32"
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z"
-            ],
-            "isPositiveDirection": true,
-            "forPositioning": true,
-            "forScanning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.137.95",
-                "serialport": "COM3"
-            }
-        }
-    },
-    "mct": {
-        "monitorIdx": 2,
-        "width": 1080,
-        "height": 1920,
-        "wavelength": 0,
-        "pixelSize": 0,
-        "angleMount": 0,
-        "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-        "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-      },
-      "LEDMatrixs": {
-        "ESP32 LEDMatrix": {
-          "analogChannel": null,
-          "digitalLine": null,
-          "managerName": "ESP32LEDMatrixManager",
-          "managerProperties": {
-              "rs232device": "ESP32",
-              "Nx": 8,
-              "Ny": 8
-          },
-          "wavelength": 488,
-          "valueRangeMin": 0,
-          "valueRangeMax": 32768
-      }},    
-    "laserPresets": {},
-    "defaultLaserPresetForScan": null,
-    "availableWidgets": [
-        "LEDMatrix",
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "Positioner",
-        "MCT"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/UC2_labmaite.json b/imcontrol_setups/UC2_labmaite.json
deleted file mode 100644
index 8184de4..0000000
--- a/imcontrol_setups/UC2_labmaite.json
+++ /dev/null
@@ -1,131 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "stepsizeX": 0.3125,
-        "stepsizeY": 0.3125,
-        "stepsizeZ": 0.3125,
-        "homeSpeedX", 15000,
-        "homeSpeedY", 15000,
-        "homeSpeedZ", 15000,
-        "homeDirectionX": -1,
-        "homeDirectionY": -1,
-        "homeDirectionZ": -1,
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM3",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "lasers": {
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "LED",
-        "filter_change": true,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 255
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "BaslerManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "cameraEffPixelsize": 0.08,
-        "basler": {
-          "isRGB": true,
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "scan": {
-    "scanDesigner": "BetaScanDesigner",
-    "scanDesignerParams": {
-      "return_time": 0.01
-    },
-    "TTLCycleDesigner": "BetaTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-  },
-  "mct": {
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus",
-    "LEDMatrix",
-    "MCT",
-    "UC2Config",
-    "PixelCalibration"
-  ]
-}
diff --git a/imcontrol_setups/example_FFT.json b/imcontrol_setups/example_FFT.json
deleted file mode 100644
index 49c4400..0000000
--- a/imcontrol_setups/example_FFT.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "TISManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "tis": {
-          "exposure": 0,
-          "gain": 0,
-          "brightness": 0,
-          "image_width": 2448,
-          "image_height": 2048
-        }
-      },
-      "forAcquisition": true
-    }},
-  "rois": {
-    "Full chip": {
-      "x": 0,
-      "y": 0,
-      "w": 2448,
-      "h": 2048
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "FFT",
-    "FLIMLabs"
-  ],
-  "scanDefaults": {
-    "defaultScanFile": null
-  }
-}
diff --git a/imcontrol_setups/example_coolLED.json b/imcontrol_setups/example_coolLED.json
deleted file mode 100644
index 9b5fadd..0000000
--- a/imcontrol_setups/example_coolLED.json
+++ /dev/null
@@ -1,176 +0,0 @@
-{
-    "lasers": {
-        "365 LED": {
-            "analogChannel": null,
-            "digitalLine": 8,
-            "managerName": "CoolLEDLaserManager",
-            "managerProperties": {
-                "rs232device": "coolLED",
-                "channel_index": "A"
-            },
-            "wavelength": 365,
-            "valueRangeMin": 0,
-            "valueRangeMax": 100
-        },
-        "435 LED": {
-            "analogChannel": null,
-            "digitalLine": 9,
-            "managerName": "CoolLEDLaserManager",
-            "managerProperties": {
-                "rs232device": "coolLED",
-                "channel_index": "B"
-            },
-            "wavelength": 435,
-            "valueRangeMin": 0,
-            "valueRangeMax": 100
-        },
-        "470 LED": {
-            "analogChannel": null,
-            "digitalLine": 10,
-            "managerName": "CoolLEDLaserManager",
-            "managerProperties": {
-                "rs232device": "coolLED",
-                "channel_index": "C"
-            },
-            "wavelength": 470,
-            "valueRangeMin": 0,
-            "valueRangeMax": 100
-        },
-        "500 LED": {
-            "analogChannel": null,
-            "digitalLine": 11,
-            "managerName": "CoolLEDLaserManager",
-            "managerProperties": {
-                "rs232device": "coolLED",
-                "channel_index": "D"
-            },
-            "wavelength": 500,
-            "valueRangeMin": 0,
-            "valueRangeMax": 100
-        },
-        "550 LED": {
-            "analogChannel": null,
-            "digitalLine": 12,
-            "managerName": "CoolLEDLaserManager",
-            "managerProperties": {
-                "rs232device": "coolLED",
-                "channel_index": "H"
-            },
-            "wavelength": 550,
-            "valueRangeMin": 0,
-            "valueRangeMax": 100
-        },
-        "580 LED": {
-            "analogChannel": null,
-            "digitalLine": 13,
-            "managerName": "CoolLEDLaserManager",
-            "managerProperties": {
-                "rs232device": "coolLED",
-                "channel_index": "G"
-            },
-            "wavelength": 580,
-            "valueRangeMin": 0,
-            "valueRangeMax": 100
-        },
-        "635 LED": {
-            "analogChannel": null,
-            "digitalLine": 14,       
-            "managerName": "CoolLEDLaserManager",
-            "managerProperties": {
-                "rs232device": "coolLED",
-                "channel_index": "F"
-            },
-            "wavelength": 635,
-            "valueRangeMin": 0,
-            "valueRangeMax": 100
-        },
-        "740 LED": {
-            "analogChannel": null,
-            "digitalLine": 15,
-            "managerName": "CoolLEDLaserManager",
-            "managerProperties": {
-                "rs232device": "coolLED",
-                "channel_index": "E"
-            },
-            "wavelength": 740,
-            "valueRangeMin": 0,
-            "valueRangeMax": 100
-        }
-    },
-    "positioners": {
-        "X": {
-            "analogChannel": 0,
-            "digitalLine": null,
-            "managerName": "NidaqPositionerManager",
-            "managerProperties": {
-                "conversionFactor": 1.587,
-                "minVolt": -10,
-                "maxVolt": 10
-            },
-            "axes": ["X"],
-            "forScanning": true,
-            "forPositioning": true
-        },
-        "Y": {
-            "analogChannel": 1,
-            "digitalLine": null,
-            "managerName": "NidaqPositionerManager",
-            "managerProperties": {
-                "conversionFactor": 1.587,
-                "minVolt": -10,
-                "maxVolt": 10
-            },
-            "axes": ["Y"],
-            "forScanning": true,
-            "forPositioning": true
-        },
-        "Z": {
-            "analogChannel": 2,
-            "digitalLine": null,
-            "managerName": "NidaqPositionerManager",
-            "managerProperties": {
-                "conversionFactor": 10,
-                "minVolt": 0,
-                "maxVolt": 10
-            },
-            "axes": ["Z"],
-            "forScanning": true,
-            "forPositioning": true
-        }
-    },
-    "scan": {
-        "scanDesigner": "BetaScanDesigner",
-        "scanDesignerParams": {
-            "return_time": 0.01
-        },
-        "TTLCycleDesigner": "BetaTTLCycleDesigner",
-        "TTLCycleDesignerParams": {},
-        "sampleRate": 100000
-    },
-    "nidaq": {
-        "timerCounterChannel" : null,
-        "startTrigger" : false
-   },
-   "rs232devices": {
-    "coolLED": {
-      "managerName": "RS232Manager",
-      "managerProperties": {
-        "port": "COM8",
-        "encoding": "ascii",
-        "recv_termination": "\n",
-        "send_termination": "\r \n",
-        "baudrate": 57600,
-        "bytesize": 8,
-        "parity": "none",
-        "stopbits": 1,
-        "rtscts": "false",
-        "dsrdtr": "false",
-        "xonxoff": "false"
-        }
-    }
-    },
-    "availableWidgets": [
-        "Laser",
-        "Scan"
-    ]
-}
diff --git a/imcontrol_setups/example_hamamatsu_SIM.json b/imcontrol_setups/example_hamamatsu_SIM.json
deleted file mode 100644
index 03be814..0000000
--- a/imcontrol_setups/example_hamamatsu_SIM.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "detectors": {
-    "SIM": {
-        "analogChannel": null,
-        "digitalLine": 4,
-        "managerName": "HamamatsuManager",
-        "managerProperties": {
-            "cameraListIndex": 0,
-            "hamamatsu": {
-                "readout_speed": 3,
-                "trigger_global_exposure": 5,
-                "trigger_active": 2,
-                "trigger_polarity": 2,
-                "exposure_time": 0.01,
-                "trigger_source": 1,
-                "subarray_hpos": 0,
-                "subarray_vpos": 0,
-                "subarray_hsize": 2048,
-                "subarray_vsize": 2048
-            }
-        },
-        "forAcquisition": true
-    }
-},
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },  
-  "sim": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "isHamamatsuSLM": true,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "SIM"
-    ]
-  }
diff --git a/imcontrol_setups/example_histo_daheng.json b/imcontrol_setups/example_histo_daheng.json
deleted file mode 100644
index a3e91b7..0000000
--- a/imcontrol_setups/example_histo_daheng.json
+++ /dev/null
@@ -1,213 +0,0 @@
-{
-    "positioners":{
-       "ESP32Stage":{
-          "managerName":"ESP32StageManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "isEnable":true,
-             "enableauto":false,
-             "stepsizeX":-0.3125,
-             "stepsizeY":-0.3125,
-             "stepsizeZ":0.3125,
-             "homeSpeedX":15000,
-             "homeSpeedY":15000,
-             "homeSpeedZ":15000,
-             "homeEndstoppolarityX":0,
-             "homeEndstoppolarityY":0,
-             "isDualaxis":true,
-             "homeDirectionX":1,
-             "backlashX":15,
-             "backlashY":40,
-             "homeDirectionY":1,
-             "homeDirectionZ":0,
-             "homeXenabled":1,
-             "homeYenabled":1,
-             "homeZenabled":0,
-             "initialSpeed":{
-                "X":25000,
-                "Y":25000,
-                "Z":25000,
-                "A":25000
-             }
-          },
-          "axes":[
-             "X",
-             "Y",
-             "Z",
-             "A"
-          ],
-          "forScanning":true,
-          "forPositioning":true
-       }
-    },
-    "rs232devices":{
-       "ESP32":{
-          "managerName":"ESP32Manager",
-          "managerProperties":{
-             "host_":"192.168.43.129",
-             "serialport":"COM3",
-             "debug":1
-          }
-       }
-    },
-    "lasers":{
-       "Laser 532":{
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"ESP32LEDLaserManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "channel_index":1
-          },
-          "wavelength":532,
-          "valueRangeMin":0,
-          "valueRangeMax":1023
-       },
-       "LED":{
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"ESP32LEDLaserManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "channel_index":2,
-             "filter_change":false,
-             "laser_despeckle_period":10,
-             "laser_despeckle_amplitude":0
-          },
-          "wavelength":488,
-          "valueRangeMin":0,
-          "valueRangeMax":1024
-       },
-       "LED Ring":{
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"ESP32LEDLaserManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "channel_index":"LED",
-             "filter_change":false,
-             "laser_despeckle_period":10,
-             "laser_despeckle_amplitude":0
-          },
-          "wavelength":635,
-          "valueRangeMin":0,
-          "valueRangeMax":1024
-       }
-    },
-    "detectors":{
-       "WidefieldCamera":{
-          "ExtPackage":"imswitch_det_webcam",
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"GXPIPYManager",
-          "managerProperties":{
-             "cameraListIndex":1,
-             "cameraEffPixelsize":0.45,
-             "gxipycam":{
-                "exposure":20,
-                "gain":0,
-                "blacklevel":10,
-                "image_width":1000,
-                "image_height":1000
-             }
-          },
-          "forAcquisition":true,
-          "forFocusLock":true
-       }
-    },
-    "rois":{
-       "Full chip":{
-          "x":600,
-          "y":600,
-          "w":1200,
-          "h":1200
-       }
-    },
-    "HistoScan":{
-       "PreviewCamera1":"ESP32Cam"
-    },
-    "autofocus":{
-       "camera":"WidefieldCamera",
-       "positioner":"ESP32Stage",
-       "updateFreq":10,
-       "frameCropx":780,
-       "frameCropy":400,
-       "frameCropw":500,
-       "frameCroph":100
-    },
-    "mct":{
-       "monitorIdx":2,
-       "width":1080,
-       "height":1920,
-       "wavelength":0,
-       "pixelSize":0,
-       "angleMount":0,
-       "patternsDirWin":"C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-       "patternsDir":"/users/bene/ImSwitchConfig/imcontrol_sim/488"
-    },
-    "dpc":{
-       "wavelength":0.53,
-       "pixelsize":0.2,
-       "NA":0.3,
-       "NAi":0.3,
-       "n":1.0,
-       "rotations":[
-          0,
-          180,
-          90,
-          270
-       ]
-    },
-    "webrtc":{
-       
-    },
-    "PixelCalibration":{
-       
-    },
-    "focusLock":{
-       "camera":"WidefieldCamera",
-       "positioner":"ESP32StageManager",
-       "updateFreq":4,
-       "frameCropx":0,
-       "frameCropy":0,
-       "frameCropw":0,
-       "frameCroph":0
-    },
-    "LEDMatrixs":{
-       "ESP32 LEDMatrix":{
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"ESP32LEDMatrixManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "Nx":4,
-             "Ny":4
-          }
-       }
-    },
-    "availableWidgets":[
-       "Settings",
-       "View",
-       "Recording",
-       "Image",
-       "Laser",
-       "Positioner",
-       "Autofocus",
-       "MCT",
-       "UC2Config",
-       "ImSwitchServer",
-       "PixelCalibration",
-       "HistoScan",
-       "Hypha",
-       "LEDMatrix",
-       "Joystick",
-       "ROIScan"
-    ],
-    "nonAvailableWidgets":[
-       "STORMRecon",
-       "DPC",
-       "FocusLock",
-       "HistoScan",
-       "FocusLock"
-    ]
- }
\ No newline at end of file
diff --git a/imcontrol_setups/example_laser.json b/imcontrol_setups/example_laser.json
deleted file mode 100644
index d33afbe..0000000
--- a/imcontrol_setups/example_laser.json
+++ /dev/null
@@ -1,88 +0,0 @@
-{
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM5",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "LED",
-        "filter_change": false,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 255
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "WebcamManager",
-        "managerProperties": {
-            "cameraListIndex": 0,
-            "cameraEffPixelsize": 0.1,
-            "webcam": {
-                "exposure": 0,
-                "gain": 0,
-                "blacklevel": 100,
-                "image_width": 1000,
-                "image_height": 1000
-            }
-        },
-        "forAcquisition": true,
-        "forFocusLock": true
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Laser",
-    "Recording",
-    "Image",
-    "ImSwitchServer"
-  ]
-}
diff --git a/imcontrol_setups/example_monalisa.json b/imcontrol_setups/example_monalisa.json
deleted file mode 100644
index e0c3857..0000000
--- a/imcontrol_setups/example_monalisa.json
+++ /dev/null
@@ -1,209 +0,0 @@
-{
-    "detectors": {
-        "Green": {
-            "analogChannel": null,
-            "digitalLine": 4,
-            "managerName": "HamamatsuManager",
-            "managerProperties": {
-                "cameraListIndex": 0,
-                "hamamatsu": {
-                    "readout_speed": 3,
-                    "trigger_global_exposure": 5,
-                    "trigger_active": 2,
-                    "trigger_polarity": 2,
-                    "exposure_time": 0.01,
-                    "trigger_source": 1,
-                    "subarray_hpos": 0,
-                    "subarray_vpos": 0,
-                    "subarray_hsize": 2048,
-                    "subarray_vsize": 2048
-                }
-            },
-            "forAcquisition": true
-        },
-        "Red": {
-            "analogChannel": null,
-            "digitalLine": 5,
-            "managerName": "HamamatsuManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "hamamatsu": {
-                    "readout_speed": 3,
-                    "trigger_global_exposure": 5,
-                    "trigger_active": 2,
-                    "trigger_polarity": 2,
-                    "exposure_time": 0.01,
-                    "trigger_source": 1,
-                    "subarray_hpos": 0,
-                    "subarray_vpos": 0,
-                    "subarray_hsize": 2048,
-                    "subarray_vsize": 2048
-                }
-            },
-            "forAcquisition": true
-        }
-    },
-    "lasers": {
-        "488 (OFF)": {
-            "analogChannel": null,
-            "digitalLine": 3,
-            "managerName": "CoboltLaserManager",
-            "managerProperties": {
-                "digitalDriver": "cobolt.cobolt0601.Cobolt0601_f2",
-                "digitalPorts": [
-                    "COM12"
-                ]
-            },
-            "wavelength": 488,
-            "valueRangeMin": 0,
-            "valueRangeMax": 200
-        },
-        "488 (EXC)": {
-            "analogChannel": null,
-            "digitalLine": 1,
-            "managerName": "CoboltLaserManager",
-            "managerProperties": {
-                "digitalDriver": "cobolt.cobolt0601.Cobolt0601_f2",
-                "digitalPorts": [
-                    "COM4"
-                ]
-            },
-            "wavelength": 488,
-            "valueRangeMin": 0,
-            "valueRangeMax": 200
-        },
-        "405 (ON)": {
-            "analogChannel": null,
-            "digitalLine": 2,
-            "managerName": "CoboltLaserManager",
-            "managerProperties": {
-                "digitalDriver": "cobolt.cobolt0601.Cobolt0601_f2",
-                "digitalPorts": [
-                    "COM11"
-                ]
-            },
-            "wavelength": 405,
-            "valueRangeMin": 0,
-            "valueRangeMax": 200
-        },
-        "592 (EXC)": {
-            "analogChannel": 3,
-            "digitalLine": 0,
-            "managerName": "NidaqLaserManager",
-            "managerProperties": {},
-            "wavelength": 592,
-            "valueRangeMin": 0,
-            "valueRangeMax": 1
-        },
-        "592 (OFF)": {
-            "analogChannel": null,
-            "digitalLine": 6,
-            "managerName": "NidaqLaserManager",
-            "managerProperties": {},
-            "wavelength": 592,
-            "valueRangeMin": null,
-            "valueRangeMax": null
-        }
-    },
-    "positioners": {
-        "X": {
-            "analogChannel": 0,
-            "digitalLine": null,
-            "managerName": "NidaqPositionerManager",
-            "managerProperties": {
-                "conversionFactor": 1.75,
-                "minVolt": 0,
-                "maxVolt": 10
-            },
-            "axes": ["X"],
-            "forScanning": true,
-            "forPositioning": true
-        },
-        "Y": {
-            "analogChannel": 1,
-            "digitalLine": null,
-            "managerName": "NidaqPositionerManager",
-            "managerProperties": {
-                "conversionFactor": 1.75,
-                "minVolt": 0,
-                "maxVolt": 10
-            },
-            "axes": ["Y"],
-            "forScanning": true,
-            "forPositioning": true
-        },
-        "Z": {
-            "analogChannel": 2,
-            "digitalLine": null,
-            "managerName": "NidaqPositionerManager",
-            "managerProperties": {
-                "conversionFactor": 1.75,
-                "minVolt": 0,
-                "maxVolt": 10
-            },
-            "axes": ["Z"],
-            "forScanning": true,
-            "forPositioning": true
-        }
-    },
-    "scan": {
-        "scanDesigner": "BetaScanDesigner",
-        "scanDesignerParams": {
-            "return_time": 0.01
-        },
-        "TTLCycleDesigner": "BetaTTLCycleDesigner",
-        "TTLCycleDesignerParams": {},
-        "sampleRate": 100000
-    },
-    "nidaq": {
-        "timerCounterChannel": null,
-        "startTrigger": false
-    },
-    "rois": {
-        "Imaging_green": {
-            "x": 283,
-            "y": 1011,
-            "w": 564,
-            "h": 564
-        },
-        "FastROI_green": {
-            "x": 580,
-            "y": 1163,
-            "w": 16,
-            "h": 249
-        },
-        "WideField_green": {
-            "x": 549,
-            "y": 1260,
-            "w": 90,
-            "h": 90
-        },
-        "ROI_test": {
-            "x": 706,
-            "y": 570,
-            "w": 839,
-            "h": 839
-        },
-        "test": {
-            "x": 543,
-            "y": 1086,
-            "w": 520,
-            "h": 520
-        }
-    },
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "Positioner",
-        "Scan",
-        "AlignXY",
-        "AlignAverage",
-        "AlignmentLine",
-        "BeadRec",
-        "FFT",
-        "ULenses"
-    ]
-}
diff --git a/imcontrol_setups/example_ofm.json b/imcontrol_setups/example_ofm.json
deleted file mode 100644
index 9b666e5..0000000
--- a/imcontrol_setups/example_ofm.json
+++ /dev/null
@@ -1,72 +0,0 @@
-{
-   "positioners":{
-      "ESP32Stage":{
-         "managerName":"OFMStageManager",
-         "managerProperties":{
-            "rs232device":"OFM"
-         },
-         "axes":[
-            "X",
-            "Y",
-            "Z"
-         ],
-         "forScanning":true,
-         "forPositioning":true
-      }
-   },
-   "rs232devices":{
-      "OFM":{
-         "managerName":"OFMManager",
-         "managerProperties":{
-            "host":"10.10.10.46"
-         }
-      }
-   },
-   "detectors":{
-      "WidefieldCamera":{
-         "analogChannel":null,
-         "digitalLine":null,
-         "managerName":"OFMCamManager",
-         "managerProperties":{
-            "cameraListIndex":1,
-            "ofmcam":{
-               "cameraHost":"10.10.10.46",
-               "cameraPort":5000,
-               "exposure":0,
-               "gain":0,
-               "blacklevel":100,
-               "image_width":1000,
-               "image_height":1000
-            }
-         },
-         "forAcquisition":true,
-         "forFocusLock":true
-      }
-   },
-   "rois":{
-      "Full chip":{
-         "x":600,
-         "y":600,
-         "w":1200,
-         "h":1200
-      }
-   },
-   "mct": {
-     "monitorIdx": 2,
-     "width": 1080,
-     "height": 1920,
-     "wavelength": 0,
-     "pixelSize": 0,
-     "angleMount": 0,
-     "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-     "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-   },
-   "availableWidgets":[
-      "MCT",
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "Positioner"
-   ]
-}
diff --git a/imcontrol_setups/example_pulseStreamer.json b/imcontrol_setups/example_pulseStreamer.json
deleted file mode 100644
index 724147e..0000000
--- a/imcontrol_setups/example_pulseStreamer.json
+++ /dev/null
@@ -1,21 +0,0 @@
-{
-    "lasers": {
-        "435 Laser": {
-            "analogChannel": 0,
-            "digitalLine": 0,
-            "managerName": "PulseStreamerLaserManager",
-            "managerProperties": {},
-            "wavelength": 435,
-            "valueRangeMin": -1.0,
-            "valueRangeMax": 1.0
-        }
-    },
-	"pulseStreamer": {
-        "ipAddress" : "10.140.114.36"
-    },
-    "availableWidgets": [
-        "Laser"
-    ]
-}
-
-
diff --git a/imcontrol_setups/example_pycromanager.json b/imcontrol_setups/example_pycromanager.json
deleted file mode 100644
index 6da163b..0000000
--- a/imcontrol_setups/example_pycromanager.json
+++ /dev/null
@@ -1,43 +0,0 @@
-{
-    "detectors" : {
-      "CoreCamera" : {
-        "managerName": "PyMMCoreCameraManager",
-        "managerProperties": {
-          "module" : "DemoCamera",
-          "device" : "DCam",
-          "pixelSize": 0.1,
-          "exposurePropertyName": "Exposure"
-        },
-        "forAcquisition" : true
-      }
-    },
-    "positioners" : {
-        "CoreXYStage" : {
-            "managerName": "PyMMCorePositionerManager",
-            "managerProperties": {
-                "module" : "DemoCamera",
-                "device" : "DXYStage",
-                "stageType" : "double"
-            },
-            "axes": ["X", "Y"],
-            "forPositioning": true
-        },
-        "CoreZStage" : {
-            "managerName": "PyMMCorePositionerManager",
-            "managerProperties": {
-                "module" : "DemoCamera",
-                "device" : "DStage",
-                "stageType" : "single"
-            },
-            "axes": ["Z"],
-            "forPositioning": true
-        }
-    },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "PycroManager",
-      "Positioner",
-      "Image"
-    ]
-  }
\ No newline at end of file
diff --git a/imcontrol_setups/example_pycromanager_cam_only.json b/imcontrol_setups/example_pycromanager_cam_only.json
deleted file mode 100644
index d140f2b..0000000
--- a/imcontrol_setups/example_pycromanager_cam_only.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-    "detectors" : {
-      "CoreCamera" : {
-        "managerName": "PyMMCoreCameraManager",
-        "managerProperties": {
-          "module" : "DemoCamera",
-          "device" : "DCam",
-          "pixelSize": 0.1,
-          "exposurePropertyName": "Exposure"
-        },
-        "forAcquisition" : true
-      }
-    },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "PycroManager",
-      "Image"
-    ]
-  }
\ No newline at end of file
diff --git a/imcontrol_setups/example_squid_singleDaheng.json b/imcontrol_setups/example_squid_singleDaheng.json
deleted file mode 100644
index 4f4d3bd..0000000
--- a/imcontrol_setups/example_squid_singleDaheng.json
+++ /dev/null
@@ -1,89 +0,0 @@
-{
-    "positioners": {
-      "XYZStage": {
-          "managerName": "SQUIDStageManager",
-          "managerProperties": {
-              "rs232device": "SQUID"
-          },
-          "axes": ["X", "Y", "Z"],
-          "forScanning": true,
-          "forPositioning": true
-      }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "SQUIDLaserManager",
-      "managerProperties": {
-          "rs232device": "SQUID",
-          "illumination_source": 12
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  },
-  "LED": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "SQUIDLedManager",
-    "managerProperties": {
-        "rs232device": "SQUID",
-        "channel_index": "0",
-        "isBinary": false,
-        "illumination_source":0
-    },
-    "wavelength": 1000,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-  }},
-  "detectors": {
-    "AutofocusCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "gxipycam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "rs232devices": {
-      "SQUID": {
-        "managerName": "SQUIDManager",
-        "managerProperties": {
-          "serialport1":"/dev/cu.usbmodem14501",
-          "serialport":"/dev/cu.usbmodem14401"
-        }
-      }
-    },
-    "autofocus": {
-        "camera": "AutofocusCamera",
-        "positioner": "ESPStage",
-        "updateFreq": 10,
-        "frameCropx": 780,
-        "frameCropy": 400,
-        "frameCropw": 500,
-        "frameCroph": 100
-      },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "Laser",
-      "Autofocus",
-      "Positioner",
-      "WellPlate",
-      "SquidStageScan",
-      "HoliSheet"
-    ]
-}
diff --git a/imcontrol_setups/example_squid_xyz_only.json b/imcontrol_setups/example_squid_xyz_only.json
deleted file mode 100644
index 2570d5d..0000000
--- a/imcontrol_setups/example_squid_xyz_only.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "positioners": {
-      "XYZStage": {
-          "managerName": "SQUIDStageManager",
-          "managerProperties": {
-              "rs232device": "SQUID"
-          },
-          "axes": ["X", "Y", "Z"],
-          "forScanning": true,
-          "forPositioning": true
-      }
-  },
-  "rs232devices": {
-      "SQUID": {
-        "managerName": "SQUIDManager",
-        "managerProperties": {
-          "serialport1":"/dev/cu.usbmodem14501",
-          "serialport":"/dev/cu.usbmodem14401"
-        }
-      }
-    },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "Laser",
-      "Positioner",
-      "SquidStageScan"
-    ]
-  }
diff --git a/imcontrol_setups/example_sted.json b/imcontrol_setups/example_sted.json
deleted file mode 100644
index 0b70973..0000000
--- a/imcontrol_setups/example_sted.json
+++ /dev/null
@@ -1,255 +0,0 @@
-{
-  "detectors": {
-    "APDred": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "APDManager",
-      "managerProperties": {
-        "ctrInputLine": 0,
-        "terminal": "PFI0",
-        "cameraListIndex": null
-      },
-      "forAcquisition": true
-    },
-    "APDgreen": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "APDManager",
-      "managerProperties": {
-        "ctrInputLine": 1,
-        "terminal": "PFI12",
-        "cameraListIndex": null
-      },
-      "forAcquisition": true
-    },
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "TISManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "tis": {
-          "exposure": 0,
-          "gain": 0,
-          "brightness": 0,
-          "image_width": 2448,
-          "image_height": 2048
-        }
-      },
-      "forAcquisition": true
-    },
-    "FocusLockCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "TISManager",
-      "managerProperties": {
-        "cameraListIndex": 0,
-        "tis": {
-          "exposure": 0,
-          "gain": 0,
-          "brightness": 0,
-          "image_width": 1280,
-          "image_height": 1024
-        }
-      },
-      "forFocusLock": true
-    }
-  },
-  "lasers": {
-    "561": {
-      "analogChannel": null,
-      "digitalLine": 1,
-      "managerName": "NidaqLaserManager",
-      "managerProperties": {
-      },
-      "wavelength": 561,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1,
-      "valueRangeStep": 1
-    },
-    "640": {
-      "analogChannel": null,
-      "digitalLine": 2,
-      "managerName": "NidaqLaserManager",
-      "managerProperties": {
-      },
-      "wavelength": 640,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1,
-      "valueRangeStep": 1
-    },
-    "561AOTF": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "AAAOTFLaserManager",
-      "managerProperties": {
-          "rs232device": "aaaotf",
-          "channel": 1
-      },
-      "wavelength": 561,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023,
-      "valueRangeStep": 1
-    },
-    "640AOTF": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "AAAOTFLaserManager",
-      "managerProperties": {
-          "rs232device": "aaaotf",
-          "channel": 2
-      },
-      "wavelength": 640,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023,
-      "valueRangeStep": 1
-    },
-    "775AOM": {
-      "analogChannel": 3,
-      "digitalLine": 4,
-      "managerName": "NidaqLaserManager",
-      "managerProperties": {
-      },
-      "wavelength": 775,
-      "valueRangeMin": 0,
-      "valueRangeMax": 10,
-      "valueRangeStep": 1
-    }
-  },
-  "positioners": {
-    "ND-GalvoX": {
-      "analogChannel": 0,
-      "digitalLine": null,
-      "managerName": "NidaqPositionerManager",
-      "managerProperties": {
-        "conversionFactor": 17.44,
-        "minVolt": -10,
-        "maxVolt": 10,
-        "vel_max": 1e-1,
-        "acc_max": 1e-4
-      },
-      "axes": ["X"],
-      "forScanning": true
-    },
-    "ND-GalvoY": {
-      "analogChannel": 1,
-      "digitalLine": null,
-      "managerName": "NidaqPositionerManager",
-      "managerProperties": {
-        "conversionFactor": 16.63,
-        "minVolt": -10,
-        "maxVolt": 10,
-        "vel_max": 1e-1,
-        "acc_max": 1e-4
-      },
-      "axes": ["Y"],
-      "forScanning": true
-    },
-    "ND-PiezoZ": {
-      "analogChannel": 2,
-      "digitalLine": null,
-      "managerName": "NidaqPositionerManager",
-      "managerProperties": {
-        "conversionFactor": 1.0,
-        "minVolt": 0,
-        "maxVolt": 10,
-        "vel_max": 1000.0,
-        "acc_max": 1000.0
-      },
-      "axes": ["Z"],
-      "forScanning": true
-    },
-    "PiezoZ": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "PiezoconceptZManager",
-      "managerProperties": {
-        "rs232device": "pczpiezo"
-      },
-      "axes": ["Z"],
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "aaaotf": {
-      "managerName": "RS232Manager",
-      "managerProperties": {
-        "port": "ASRL4::INSTR",
-        "encoding": "ascii",
-        "recv_termination": "\n",
-        "send_termination": "\r \n",
-        "baudrate": 57600,
-        "bytesize": 8,
-        "parity": "none",
-        "stopbits": 1,
-        "rtscts": "false",
-        "dsrdtr": "false",
-        "xonxoff": "false"
-      }
-    },
-    "pczpiezo": {
-      "managerName": "RS232Manager",
-      "managerProperties": {
-        "port": "ASRL5::INSTR",
-        "encoding": "ascii",
-        "recv_termination": "\n",
-        "send_termination": "\n",
-        "baudrate": 115200,
-        "bytesize": 8,
-        "parity": "none",
-        "stopbits": 1,
-        "rtscts": "false",
-        "dsrdtr": "false",
-        "xonxoff": "false"
-      }
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 0,
-      "y": 0,
-      "w": 2448,
-      "h": 2048
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Scan",
-    "FocusLock",
-    "SLM",
-    "FFT"
-  ],
-  "scanDefaults": {
-    "defaultScanFile": null
-  },
-  "scan": {
-    "scanDesigner": "GalvoScanDesigner",
-    "scanDesignerParams": {},
-    "TTLCycleDesigner": "PointScanTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-  },
-  "slm": {
-    "monitorIdx": 2,
-    "width": 792,
-    "height": 600,
-    "wavelength": 775,
-    "pixelSize": 0.02,
-    "angleMount": 0.15,
-    "correctionPatternsDir": "E:\\PhD\\SLM\\defcorrpatt\\"
-  },
-  "focusLock": {
-    "camera": "FocusLockCamera",
-    "positioner": "PiezoZ",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  }
-}
diff --git a/imcontrol_setups/example_uc2.json b/imcontrol_setups/example_uc2.json
deleted file mode 100644
index 2d1f1e3..0000000
--- a/imcontrol_setups/example_uc2.json
+++ /dev/null
@@ -1,35 +0,0 @@
-{
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "AVManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "avcam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true
-  }
-},
-  "rois": {
-    "Full chip": {
-      "x": 0,
-      "y": 0,
-      "w": 1000,
-      "h": 2048
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-
-    ]
-}
diff --git a/imcontrol_setups/example_uc2_.json b/imcontrol_setups/example_uc2_.json
deleted file mode 100644
index 5587f69..0000000
--- a/imcontrol_setups/example_uc2_.json
+++ /dev/null
@@ -1,67 +0,0 @@
-{
-  "positioners": {
-    "LightsheetStage": {
-        "managerName": "GRBLStageManager",
-        "managerProperties": {
-          "rs232device": "GRBL",
-          "host": "192.168.137.126"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    },
-    "LabThig": {
-      "managerName": "LabThingManager",
-      "managerProperties": {
-      },
-      "axes": ["X", "Y", "Z"],
-      "forScanning": true,
-      "forPositioning": true
-    }
-},
-"rs232devices": {
-  "GRBL": {
-    "managerName": "GRBLManager",
-    "managerProperties": {
-      "port": "COM4",
-      "is_home": false
-    }
-  }
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "PiCamManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "cameraHost": "http://0.0.0.0",
-      "cameraPort": "5000",
-      "picam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true
-  }
-},
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "WellPlate",
-    "LabThing"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_Incubator_WebcamOpenCV.json b/imcontrol_setups/example_uc2_Incubator_WebcamOpenCV.json
deleted file mode 100644
index 1bccb3a..0000000
--- a/imcontrol_setups/example_uc2_Incubator_WebcamOpenCV.json
+++ /dev/null
@@ -1,75 +0,0 @@
-{
-    "positioners": {
-      "LightsheetStage": {
-          "managerName": "ESP32StageManager",
-          "managerProperties": {
-              "rs232device": "ESP32"
-          },
-          "axes": ["X", "Y", "Z"],
-          "forScanning": true,
-          "forPositioning": true
-      }
-  },
-  "rs232devices": {
-      "ESP32": {
-        "managerName": "ESP32Manager",
-        "managerProperties": {
-          "host_": "192.168.43.129",
-          "serialport_": "COM4",
-          "serialport":"/dev/cu.wchusbserial1440"
-        }
-      }
-    },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "Nx": 4,
-          "Ny": 4,
-          "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "OpenCVCamManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "cameraListIndexWIN": 0,
-        "opencvcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000,
-          "pixel_format": "Mono12"
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "Positioner",
-      "LEDMatrix"
-    ]
-  }
diff --git a/imcontrol_setups/example_uc2_Incubator_matrix_vimba.json b/imcontrol_setups/example_uc2_Incubator_matrix_vimba.json
deleted file mode 100644
index de3c3b9..0000000
--- a/imcontrol_setups/example_uc2_Incubator_matrix_vimba.json
+++ /dev/null
@@ -1,73 +0,0 @@
-{
-    "positioners": {
-      "LightsheetStage": {
-          "managerName": "ESP32StageManager",
-          "managerProperties": {
-              "rs232device": "ESP32"
-          },
-          "axes": ["X", "Y", "Z"],
-          "forScanning": true,
-          "forPositioning": true
-      }
-  },
-  "rs232devices": {
-      "ESP32": {
-        "managerName": "ESP32Manager",
-        "managerProperties": {
-          "host_": "192.168.43.129",
-          "serialport_": "COM4",
-          "serialport":"/dev/cu.wchusbserial1440"
-        }
-      }
-    },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": "B",
-          "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "AVManager",
-      "managerProperties": {
-        "cameraListIndex": 0,
-        "avcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000,
-          "pixel_format": "Mono12"
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "Positioner",
-      "LEDMatrix"
-    ]
-  }
diff --git a/imcontrol_setups/example_uc2_STORM_Berlin.json b/imcontrol_setups/example_uc2_STORM_Berlin.json
deleted file mode 100644
index 0a87a90..0000000
--- a/imcontrol_setups/example_uc2_STORM_Berlin.json
+++ /dev/null
@@ -1,96 +0,0 @@
-{
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "COM9",
-        "serialport_mac": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "positioners": {
-    "ESPStage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"lasers":{
-"635 Laser": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": 1,
-      "filter_change": false
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 255
-},
-"LED": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": 2,
-      "filter_change": false
-  },
-  "wavelength": 0,
-  "valueRangeMin": 0,
-  "valueRangeMax": 255
-}
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "AVManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "avcam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000,
-        "pixel_format": "Mono12"
-      }
-    },
-    "forAcquisition": true
-  }
-},
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus"
-  ],
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESPStage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  }
-}
diff --git a/imcontrol_setups/example_uc2_autofocus.json b/imcontrol_setups/example_uc2_autofocus.json
deleted file mode 100644
index 5bbf021..0000000
--- a/imcontrol_setups/example_uc2_autofocus.json
+++ /dev/null
@@ -1,66 +0,0 @@
-{
-    "positioners": {
-      "ESPStage": {
-          "managerName": "ESP32StageManager",
-          "managerProperties": {
-              "rs232device": "ESP32"
-          },
-          "axes": ["X", "Y", "Z"],
-          "forScanning": true,
-          "forPositioning": true
-      }
-  },
-  "rs232devices": {
-      "ESP32": {
-        "managerName": "ESP32Manager",
-        "managerProperties": {
-          "host_": "192.168.43.129",
-          "serialport_": "COM4"
-        }
-      }
-    },
-  "detectors": {
-    "AutofocusCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "gxipycam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Positioner",
-      "Autofocus"
-    ],
-  "autofocus": {
-    "camera": "AutofocusCamera",
-    "positioner": "ESPStage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  }
-}
-  
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_cellstorm.json b/imcontrol_setups/example_uc2_cellstorm.json
deleted file mode 100644
index a11cfec..0000000
--- a/imcontrol_setups/example_uc2_cellstorm.json
+++ /dev/null
@@ -1,155 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM3",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-"lasers": {
-  "LENS 1": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": true,
-        "filter_axis": 0
-    },
-    "wavelength": 488,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-},
-"LENS 2": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": 2,
-      "filter_change": false,
-      "filter_axis": 0
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-},
-"Laser RED": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": 3,
-      "filter_change": false,
-      "filter_axis": 0
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-},
-"LED": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": "LED",
-      "filter_change": false,
-      "filter_axis": 0
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 255
-}
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32CamManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "cameraHost": "192.168.178.47",
-      "cameraPort": "80",
-      "esp32cam": {
-        "exposure": 0,
-        "gain": 0,
-        "framesize": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true
-  }
-
-},
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-"LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": "B",
-          "filter_change": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  }
-  },
-  "scan": {
-    "scanDesigner": "BetaScanDesigner",
-    "scanDesignerParams": {
-        "return_time": 0.01
-    },
-    "TTLCycleDesigner": "BetaTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-},
-"mct": {
-  "monitorIdx": 2,
-  "width": 1080,
-  "height": 1920,
-  "wavelength": 0,
-  "pixelSize": 0,
-  "angleMount": 0,
-  "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-  "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "LEDMatrix",
-    "Scan",
-    "MCT"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_cellstorm_cellphone.json b/imcontrol_setups/example_uc2_cellstorm_cellphone.json
deleted file mode 100644
index 901a9ab..0000000
--- a/imcontrol_setups/example_uc2_cellstorm_cellphone.json
+++ /dev/null
@@ -1,73 +0,0 @@
-{
-    "positioners": {
-      "LightsheetStage": {
-          "managerName": "ESP32StageManager",
-          "managerProperties": {
-              "rs232device": "ESP32"
-          },
-          "axes": ["X", "Y", "Z"],
-          "forScanning": true,
-          "forPositioning": true
-      }
-  },
-  "rs232devices": {
-      "ESP32": {
-        "managerName": "ESP32Manager",
-        "managerProperties": {
-          "host_": "192.168.43.129",
-          "serialport_": "COM4",
-          "serialport":"/dev/cu.wchusbserial1440"
-        }
-      }
-    },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": "B",
-          "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "OpenCVCamManager",
-      "managerProperties": {
-        "cameraListIndex": 0,
-        "opencvcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000,
-          "pixel_format": "Mono12"
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "Positioner",
-      "LEDMatrix"
-    ]
-  }
diff --git a/imcontrol_setups/example_uc2_config.json b/imcontrol_setups/example_uc2_config.json
deleted file mode 100644
index 8a929db..0000000
--- a/imcontrol_setups/example_uc2_config.json
+++ /dev/null
@@ -1,154 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM3",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-"lasers": {
-  "488 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": true,
-        "filter_axis": 0
-    },
-    "wavelength": 488,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-},
-"635 Laser": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": 2,
-      "filter_change": true,
-      "filter_axis": 0
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-},
-"LED": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": "LED",
-      "filter_change": true,
-      "filter_axis": 0
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 255
-}
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "GXPIPYManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "gxipycam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true,
-    "forFocusLock": true
-  }
-},
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-"LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "Nx": 4,
-          "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "scan": {
-    "scanDesigner": "BetaScanDesigner",
-    "scanDesignerParams": {
-        "return_time": 0.01
-    },
-    "TTLCycleDesigner": "BetaTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-},
-"mct": {
-  "monitorIdx": 2,
-  "width": 1080,
-  "height": 1920,
-  "wavelength": 0,
-  "pixelSize": 0,
-  "angleMount": 0,
-  "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-  "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-},
-"uc2Config": {
-    "monitorIdx": 2,
-    "width": 792,
-    "height": 600,
-    "wavelength": 775,
-    "pixelSize": 0.02,
-    "angleMount": 0.15,
-    "correctionPatternsDir": "E:\\PhD\\SLM\\defcorrpatt\\",
-    "managerProperties":{
-       "rs232device":"ESP32"
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "UC2Config"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_daheng_histo.json b/imcontrol_setups/example_uc2_daheng_histo.json
deleted file mode 100644
index a3e91b7..0000000
--- a/imcontrol_setups/example_uc2_daheng_histo.json
+++ /dev/null
@@ -1,213 +0,0 @@
-{
-    "positioners":{
-       "ESP32Stage":{
-          "managerName":"ESP32StageManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "isEnable":true,
-             "enableauto":false,
-             "stepsizeX":-0.3125,
-             "stepsizeY":-0.3125,
-             "stepsizeZ":0.3125,
-             "homeSpeedX":15000,
-             "homeSpeedY":15000,
-             "homeSpeedZ":15000,
-             "homeEndstoppolarityX":0,
-             "homeEndstoppolarityY":0,
-             "isDualaxis":true,
-             "homeDirectionX":1,
-             "backlashX":15,
-             "backlashY":40,
-             "homeDirectionY":1,
-             "homeDirectionZ":0,
-             "homeXenabled":1,
-             "homeYenabled":1,
-             "homeZenabled":0,
-             "initialSpeed":{
-                "X":25000,
-                "Y":25000,
-                "Z":25000,
-                "A":25000
-             }
-          },
-          "axes":[
-             "X",
-             "Y",
-             "Z",
-             "A"
-          ],
-          "forScanning":true,
-          "forPositioning":true
-       }
-    },
-    "rs232devices":{
-       "ESP32":{
-          "managerName":"ESP32Manager",
-          "managerProperties":{
-             "host_":"192.168.43.129",
-             "serialport":"COM3",
-             "debug":1
-          }
-       }
-    },
-    "lasers":{
-       "Laser 532":{
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"ESP32LEDLaserManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "channel_index":1
-          },
-          "wavelength":532,
-          "valueRangeMin":0,
-          "valueRangeMax":1023
-       },
-       "LED":{
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"ESP32LEDLaserManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "channel_index":2,
-             "filter_change":false,
-             "laser_despeckle_period":10,
-             "laser_despeckle_amplitude":0
-          },
-          "wavelength":488,
-          "valueRangeMin":0,
-          "valueRangeMax":1024
-       },
-       "LED Ring":{
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"ESP32LEDLaserManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "channel_index":"LED",
-             "filter_change":false,
-             "laser_despeckle_period":10,
-             "laser_despeckle_amplitude":0
-          },
-          "wavelength":635,
-          "valueRangeMin":0,
-          "valueRangeMax":1024
-       }
-    },
-    "detectors":{
-       "WidefieldCamera":{
-          "ExtPackage":"imswitch_det_webcam",
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"GXPIPYManager",
-          "managerProperties":{
-             "cameraListIndex":1,
-             "cameraEffPixelsize":0.45,
-             "gxipycam":{
-                "exposure":20,
-                "gain":0,
-                "blacklevel":10,
-                "image_width":1000,
-                "image_height":1000
-             }
-          },
-          "forAcquisition":true,
-          "forFocusLock":true
-       }
-    },
-    "rois":{
-       "Full chip":{
-          "x":600,
-          "y":600,
-          "w":1200,
-          "h":1200
-       }
-    },
-    "HistoScan":{
-       "PreviewCamera1":"ESP32Cam"
-    },
-    "autofocus":{
-       "camera":"WidefieldCamera",
-       "positioner":"ESP32Stage",
-       "updateFreq":10,
-       "frameCropx":780,
-       "frameCropy":400,
-       "frameCropw":500,
-       "frameCroph":100
-    },
-    "mct":{
-       "monitorIdx":2,
-       "width":1080,
-       "height":1920,
-       "wavelength":0,
-       "pixelSize":0,
-       "angleMount":0,
-       "patternsDirWin":"C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-       "patternsDir":"/users/bene/ImSwitchConfig/imcontrol_sim/488"
-    },
-    "dpc":{
-       "wavelength":0.53,
-       "pixelsize":0.2,
-       "NA":0.3,
-       "NAi":0.3,
-       "n":1.0,
-       "rotations":[
-          0,
-          180,
-          90,
-          270
-       ]
-    },
-    "webrtc":{
-       
-    },
-    "PixelCalibration":{
-       
-    },
-    "focusLock":{
-       "camera":"WidefieldCamera",
-       "positioner":"ESP32StageManager",
-       "updateFreq":4,
-       "frameCropx":0,
-       "frameCropy":0,
-       "frameCropw":0,
-       "frameCroph":0
-    },
-    "LEDMatrixs":{
-       "ESP32 LEDMatrix":{
-          "analogChannel":null,
-          "digitalLine":null,
-          "managerName":"ESP32LEDMatrixManager",
-          "managerProperties":{
-             "rs232device":"ESP32",
-             "Nx":4,
-             "Ny":4
-          }
-       }
-    },
-    "availableWidgets":[
-       "Settings",
-       "View",
-       "Recording",
-       "Image",
-       "Laser",
-       "Positioner",
-       "Autofocus",
-       "MCT",
-       "UC2Config",
-       "ImSwitchServer",
-       "PixelCalibration",
-       "HistoScan",
-       "Hypha",
-       "LEDMatrix",
-       "Joystick",
-       "ROIScan"
-    ],
-    "nonAvailableWidgets":[
-       "STORMRecon",
-       "DPC",
-       "FocusLock",
-       "HistoScan",
-       "FocusLock"
-    ]
- }
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_dynamic42.json b/imcontrol_setups/example_uc2_dynamic42.json
deleted file mode 100644
index d203b63..0000000
--- a/imcontrol_setups/example_uc2_dynamic42.json
+++ /dev/null
@@ -1,99 +0,0 @@
-{
-    "positioners": {
-        "LightsheetStage": {
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32"
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z"
-            ],
-            "forScanning": true,
-            "forPositioning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.43.129",
-                "serialport_": "COM4",
-                "serialport": "/dev/cu.wchusbserial1440"
-            }
-        }
-    },
-    "lasers": {
-        "LED": {
-          "analogChannel": null,
-          "digitalLine": null,
-          "managerName": "ESP32LEDLaserManager",
-          "managerProperties": {
-            "rs232device": "ESP32",
-            "channel_index": "LED",
-            "filter_change": false,
-            "filter_axis": 3,
-            "filter_position": 32000,
-            "filter_position_init": -0
-          },
-          "wavelength": 635,
-          "valueRangeMin": 0,
-          "valueRangeMax": 255
-        }
-      },
-    "LEDMatrixs": {
-        "ESP32 LEDMatrix": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDMatrixManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": "B",
-                "filter_change": true
-            },
-            "wavelength": 488,
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768
-        }
-    },
-    "detectors": {
-        "WidefieldCamera": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerNameGX": "GXPIPYManager",
-            "managerName": "OpenCVCamManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "opencvcam": {
-                    "exposure": 0,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "pixel_format": "Mono12"
-                }
-            },
-            "forAcquisition": true
-        }
-    },
-    "rois": {
-        "Full chip": {
-            "x": 600,
-            "y": 600,
-            "w": 1200,
-            "h": 1200
-        }
-    },
-    "MCT": {},
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "Positioner",
-        "LEDMatrix", 
-        "MCT"
-    ]
-}
\ No newline at end of file
diff --git "a/imcontrol_setups/example_uc2_d\303\274sseldorf_vimba.json" "b/imcontrol_setups/example_uc2_d\303\274sseldorf_vimba.json"
deleted file mode 100644
index a50295e..0000000
--- "a/imcontrol_setups/example_uc2_d\303\274sseldorf_vimba.json"
+++ /dev/null
@@ -1,181 +0,0 @@
-{
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.43.129",
-                "serialport": "COM5",
-                "debug":1
-            }
-
-        }
-    },
-    "positioners": {
-            "ESP32Stage": {
-              "managerName": "ESP32StageManager",
-              "managerProperties": {
-                "rs232device": "ESP32",
-                "isEnable": true,
-                "enableauto": true,
-                "stepsizeX": -0.3125,
-                "stepsizeY": -0.3125,
-                "stepsizeZ": 0.3125,
-                "homeSpeedX": 15000,
-                "homeSpeedY": 15000,
-                "homeSpeedZ": 15000,
-                "homeEndstoppolarityX":1, 
-                "homeEndstoppolarityY":1,
-                "homeOnStartX":1,
-                "homeOnStartY":1,
-                "isDualaxis": true,
-                "homeDirectionX": 1,
-                "backlashX": 15,
-                "backlashY": 40,
-                "homeDirectionY": 1,
-                "homeDirectionZ": 0,
-                "homeXenabled": 1, 
-                "homeYenabled": 1, 
-                "homeZenabled": 0, 
-                "initialSpeed": {
-                  "X": 15000,
-                  "Y": 15000,
-                  "Z": 15000,
-                  "A": 15000
-                }
-              },
-              "axes": [
-                "X",
-                "Y",
-                "Z",
-                "A"
-              ],
-              "forScanning": true,
-              "forPositioning": true
-            }
-          },
-    "lasers": {
-        "LED Matrix": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": "LED",
-                "filter_change": false,
-                "filter_axis": 3,
-                "filter_position": 32000,
-                "filter_position_init": -0
-            },
-            "wavelength": 635,
-            "valueRangeMin": 0,
-            "valueRangeMax": 255
-        }
-    },
-    "detectors": {
-        "WidefieldCamera": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "AVManager",
-            "managerProperties": {
-                "cameraListIndex": 0,
-                "cameraEffPixelsize": 0.978,
-                "avcam": {
-                    "exposure": 1,
-                    "gain": 0,
-                    "blacklevel": 10,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "pixel_format": "Mono12"
-                }
-            },
-            "forAcquisition": true
-        }
-    },
-    "rois": {
-        "Full chip": {
-            "x": 600,
-            "y": 600,
-            "w": 1200,
-            "h": 1200
-        }
-    },
-    "LEDMatrixs": {
-        "ESP32 LEDMatrix": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDMatrixManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "Nx": 4,
-                "Ny": 4
-            },
-            "wavelength": 488,
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768
-        }
-    },
-    "autofocus": {
-        "camera": "WidefieldCamera",
-        "positioner": "ESP32Stage",
-        "updateFreq": 10,
-        "frameCropx": 780,
-        "frameCropy": 400,
-        "frameCropw": 500,
-        "frameCroph": 100
-    },
-    "uc2Config": {
-        "defaultConfig": "pindefWemos.json",
-        "defaultConfig2": "pindefUC2Standalon2.json",
-        "defaultConfig1": "pindefUC2Standalon.json"
-    },
-    "mct": {
-        "monitorIdx": 2,
-        "width": 1080,
-        "height": 1920,
-        "wavelength": 0,
-        "pixelSize": 0,
-        "angleMount": 0,
-        "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-        "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-    },
-    "dpc": {
-        "wavelength": 0.53,
-        "pixelsize": 0.2,
-        "NA": 0.3,
-        "NAi": 0.3,
-        "n": 1.0,
-        "rotations": [
-            0,
-            180,
-            90,
-            270
-        ]
-    },
-    "webrtc": {},
-    "PixelCalibration": {},
-    "availableWidgets": [
-        "Settings",
-        "Positioner",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "UC2Config",
-        "HistoScan",
-        "ROIScan",
-        "Autofocus"
-    ],
-    "nonAvailableWidgets": [
-        "STORMRecon",
-        "LEDMatrix",
-        "Joystick",
-        "LEDMatrix",
-        "MCT",
-        "ImSwitchServer",
-        "PixelCalibration",
-        "Hypha",
-        "FocusLock",
-        "HistoScan",
-        "FocusLock"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_esp32cam.json b/imcontrol_setups/example_uc2_esp32cam.json
deleted file mode 100644
index b8ff430..0000000
--- a/imcontrol_setups/example_uc2_esp32cam.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
- "detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32CamManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "cameraHost": "192.168.4.1",
-      "cameraPort": "80",
-      "esp32cam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true
-  }
-},
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_flimlabs.json b/imcontrol_setups/example_uc2_flimlabs.json
deleted file mode 100644
index b6c478f..0000000
--- a/imcontrol_setups/example_uc2_flimlabs.json
+++ /dev/null
@@ -1,82 +0,0 @@
-{
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "dummy"
-      }
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "PCOManager",
-      "managerProperties": {
-        "cameraListIndex": 0,
-        "PCOcam": {
-          "exposure": 0
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },  
-  "sim": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Laser",
-      "Image",
-      "FLIMLabs"    ]
-  }
diff --git a/imcontrol_setups/example_uc2_focuslock.json b/imcontrol_setups/example_uc2_focuslock.json
deleted file mode 100644
index 3be34d0..0000000
--- a/imcontrol_setups/example_uc2_focuslock.json
+++ /dev/null
@@ -1,139 +0,0 @@
-{
-  "rs232devices":{
-     "ESP32":{
-        "managerName":"ESP32Manager",
-        "managerProperties":{
-           "host_":"192.168.43.129",
-           "serialport":"dummy"
-        }
-     }
-  },
-  "positioners":{
-     "ESP32Stage":{
-        "managerName":"ESP32StageManager",
-        "managerProperties":{
-           "rs232device":"ESP32",
-           "stepsizeX":0.3125,
-           "stepsizeY":0.3125,
-           "stepsizeZ":0.3125,
-           "homeSpeedX":15000,
-           "homeSpeedY":15000,
-           "homeSpeedZ":15000,
-           "homeDirectionX":-1,
-           "homeDirectionY":-1,
-           "homeDirectionZ":-1,
-           "initialSpeed":{
-              "X":15000,
-              "Y":15000,
-              "Z":15000
-           }
-        },
-        "axes":[
-           "X",
-           "Y",
-           "Z"
-        ],
-        "forScanning":true,
-        "forPositioning":true
-     }
-  },
-  "detectors":{
-     "FocusLockCamera":{
-        "analogChannel":null,
-        "digitalLine":null,
-        "managerName":"ESP32SerialCamManager",
-        "managerProperties":{
-           
-        },
-        "forAcquisition":true,
-        "forFocusLock":true
-     },
-     "WidefieldCamera":{
-      "analogChannel":null,
-      "digitalLine":null,
-      "managerName":"PCOManager",
-      "managerProperties":{
-         "cameraListIndex":0,
-         "PCOcam":{
-            "exposure":0
-         }
-      },
-      "forAcquisition":true
-   }
-  },
-  "lasers":{
-     "488 Laser":{
-        "analogChannel":null,
-        "digitalLine":null,
-        "managerName":"ESP32LEDLaserManager",
-        "managerProperties":{
-           "rs232device":"ESP32",
-           "channel_index":1,
-           "filter_change":false,
-           "laser_despeckle_period":10,
-           "laser_despeckle_amplitude":0
-        },
-        "wavelength":488,
-        "valueRangeMin":0,
-        "valueRangeMax":1024
-     },
-     "635 Laser":{
-        "analogChannel":null,
-        "digitalLine":null,
-        "managerName":"ESP32LEDLaserManager",
-        "managerProperties":{
-           "rs232device":"ESP32",
-           "channel_index":2,
-           "filter_change":false,
-           "laser_despeckle_period":10,
-           "laser_despeckle_amplitude":0
-        },
-        "wavelength":635,
-        "valueRangeMin":0,
-        "valueRangeMax":1024
-     }
-  },
-  "rois":{
-     "Full chip":{
-        "x":600,
-        "y":600,
-        "w":1200,
-        "h":1200
-     }
-  },
-  "sim":{
-     "monitorIdx":2,
-     "width":1080,
-     "height":1920,
-     "wavelength":0,
-     "pixelSize":0,
-     "angleMount":0,
-     "patternsDirWin":"C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-     "patternsDir":[
-        "/users/bene/ImSwitchConfig/imcontrol_sim/488",
-        "/users/bene/ImSwitchConfig/imcontrol_sim/635"
-     ]
-  },
-  "focusLock":{
-     "camera":"FocusLockCamera",
-     "positioner":"ESP32StageManager",
-     "updateFreq":10,
-     "frameCropx":780,
-     "frameCropy":400,
-     "frameCropw":500,
-     "frameCroph":100
-  },
-  "availableWidgets":[
-     "Settings",
-     "View",
-     "Recording",
-     "Laser",
-     "Image",
-     "SIM",
-     "Histogramm",
-     "FocusLock"
-  ],
-  "nonAvailableWidgets":[
-     "PixelCalibration"
-  ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_hik.json b/imcontrol_setups/example_uc2_hik.json
deleted file mode 100644
index a311ff1..0000000
--- a/imcontrol_setups/example_uc2_hik.json
+++ /dev/null
@@ -1,158 +0,0 @@
-{
-    "positioners": {
-        "ESP32Stage": {
-          "managerName": "ESP32StageManager",
-          "managerProperties": {
-            "rs232device": "ESP32",
-            "isEnable": true,
-            "enableauto": false,
-            "isDualaxis": 0,
-            "stepsizeX": -0.3125,
-            "stepsizeY": -0.3125,
-            "stepsizeZ": 0.3125,
-            "stepsizeA": 0.3125,
-            "homeSpeedX": 15000,
-            "homeSpeedY": 15000,
-            "homeSpeedZ": 15000,
-            "homeDirectionX": 1,
-            "homeDirectionY": 1,
-            "homeDirectionZ": -1,
-            "initialSpeed": {"X": 15000, "Y":  15000,"Z": 15000, "A": 15000}
-          },
-          "axes": [
-            "X",
-            "Y",
-            "Z",
-            "A"
-          ],
-          "forScanning": true,
-          "forPositioning": true
-        }
-      },
-    "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "/dev/cu.SLAB_USBtoUART"
-      }
-    },
-    "VirtualMicroscope": {
-      "managerName": "VirtualMicroscopeManager",
-      "managerProperties": {
-      }
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4,
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-    }
-  },
-  "lasers": {
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "HikCamManager",
-        "managerProperties": {
-            "isRGB": 0,
-            "cameraListIndex": 0,
-            "cameraEffPixelsize": 0.2257,
-            "hikcam": {
-                "exposure": 0,
-                "gain": 0,
-                "blacklevel": 100,
-                "image_width": 1000,
-                "image_height": 1000
-            }
-        },
-        "forAcquisition": true,
-        "forFocusLock": true
-    }
-    },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "fovLock": {
-    "camera": "WidefieldCamera",
-    "positioner": "VirtualStage",
-    "updateFreq": 1, 
-    "piKp":1, 
-    "piKi":1
-    },
-  "webrtc":{},
-  "PixelCalibration": {},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus",
-    "MCT",
-    "UC2Config",
-    "LEDMatrix",
-    "ROIScan",
-    "HistoScan",
-    "PixelCalibration",
-    "Lightsheet",
-    "FOVLock"
-  ],
-  "nonAvailableWidgets":[
-    "Hypha",
-    "FocusLock",
-    "HistoScan",
-    "STORMRecon",
-    "DPC",
-    "ImSwitchServer",
-    "PixelCalibration",
-    "FocusLock"]
-}
diff --git a/imcontrol_setups/example_uc2_hik_histo.json b/imcontrol_setups/example_uc2_hik_histo.json
deleted file mode 100644
index 7699c97..0000000
--- a/imcontrol_setups/example_uc2_hik_histo.json
+++ /dev/null
@@ -1,188 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "isEnable": true,
-        "enableauto": false,
-        "stepsizeX": -0.3125,
-        "stepsizeY": -0.3125,
-        "stepsizeZ": 0.3125,
-        "homeSpeedX": 15000,
-        "homeSpeedY": 15000,
-        "homeSpeedZ": 15000,
-        "isDualaxis": true,
-        "homeDirectionX": 1,
-        "backlashXOld": 15,
-        "backlashYOld": 40,
-        "backlashX": 0,
-        "backlashY": 0,
-        "homeEndstoppolarityY": 0,
-        "homeDirectionY": -1,
-        "homeDirectionZ": 0,
-        "homeXenabled": 1,
-        "homeYenabled": 1,
-        "homeZenabled": 0,
-        "homeOnStartX":1,
-        "homeOnStartY":1,
-        "initialSpeed": {
-          "X": 15000,
-          "Y": 15000,
-          "Z": 15000
-        }
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-<<<<<<< Updated upstream
-        "serialport": "COM3",
-        "baudrate":500000,
-        "debug": true
-=======
-        "serialport": "COM4"
->>>>>>> Stashed changes
-      }
-    }
-  },
-  "lasers": {
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "HikCamManager",
-      "managerProperties": {
-        "isRGB": 0,
-        "cameraListIndex": 0,
-        "cameraEffPixelsize": 0.2257,
-        "mocktype": "OffAxisHolo"
-        "hikcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "HistoScan": {
-    "PreviewCamera1": "Observer"
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "dpc": {
-    "wavelength": 0.53,
-    "pixelsize": 0.2,
-    "NA": 0.3,
-    "NAi": 0.3,
-    "n": 1.0,
-    "rotations": [
-      0,
-      180,
-      90,
-      270
-    ]
-  },
-  "webrtc": {},
-  "PixelCalibration": {},
-  "focusLock": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32StageManager",
-    "updateFreq": 4,
-    "frameCropx": 0,
-    "frameCropy": 0,
-    "frameCropw": 0,
-    "frameCroph": 0
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4,
-        "wavelength": 488,
-        "valueRangeMin": 0,
-        "valueRangeMax": 32768
-      }
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-<<<<<<< Updated upstream
-=======
-    "Autofocus",
-    "MCT",
-    "UC2Config",
-    "ImSwitchServer",
-    "PixelCalibration",
-    "HistoScan",
-    "LEDMatrix",
-    "Joystick",
-    "Flatfield",
-    "ROIScan",
->>>>>>> Stashed changes
-    "Holo",
-    "FFT"
-  ],
-  "nonAvailableWidgets": [
-    "STORMRecon",
-    "DPC",
-    "Hypha",
-    "FocusLock",
-    "HistoScan",
-    "FocusLock",
-    "FOVLock"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_hik_histo_andrew_1-12-24.json b/imcontrol_setups/example_uc2_hik_histo_andrew_1-12-24.json
deleted file mode 100644
index 3cc39c0..0000000
--- a/imcontrol_setups/example_uc2_hik_histo_andrew_1-12-24.json
+++ /dev/null
@@ -1,165 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "isEnable": true,
-        "enableauto": false,
-        "stepsizeX": -0.3125,
-        "stepsizeY": -0.3125,
-        "stepsizeZ": 0.3125,
-        "homeSpeedX": 15000,
-        "homeSpeedY": 15000,
-        "homeSpeedZ": 15000,
-        "isDualaxis": true,
-        "homeDirectionX": 1,
-        "backlashXOld": 15,
-        "backlashYOld": 40,
-        "backlashX": 0,
-        "backlashY": 0,
-        "homeEndstoppolarityY": 0,
-        "homeDirectionY": -1,
-        "homeDirectionZ": 0,
-        "homeXenabled": 1,
-        "homeYenabled": 1,
-        "homeZenabled": 0,
-        "initialSpeed": {
-          "X": 15000,
-          "Y": 15000,
-          "Z": 15000
-        }
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "COM5",
-        "baudrate":115200,
-        "debug":1
-      }
-    }
-  },
-  "lasers": {
-    "LED": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "ESP32LEDLaserManager",
-        "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": 1
-        },
-        "wavelength": 0,
-        "valueRangeMin": 0,
-        "valueRangeMax": 1023
-      },
-      "Laser 488": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "ESP32LEDLaserManager",
-        "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": 2
-        },
-        "wavelength": 635,
-        "valueRangeMin": 0,
-        "valueRangeMax": 1023
-      },
-      "Laser 635": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "ESP32LEDLaserManager",
-        "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": 3
-        },
-        "wavelength": 488,
-        "valueRangeMin": 0,
-        "valueRangeMax": 1023
-      }
-    
-    },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "HikCamManager",
-      "managerProperties": {
-        "isRGB": 1,
-        "cameraListIndex": 0,
-        "cameraEffPixelsize": 0.2257,
-        "hikcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "PixelCalibration": {},
-  "focusLock": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32StageManager",
-    "updateFreq": 4,
-    "frameCropx": 0,
-    "frameCropy": 0,
-    "frameCropw": 0,
-    "frameCroph": 0
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus",
-    "MCT",
-    "UC2Config",
-    "PixelCalibration",
-    "HistoScan",
-    "ROIScan"
-  ],
-  "nonAvailableWidgets": [
-    "STORMRecon",
-    "DPC",
-    "Hypha",
-    "FocusLock",
-    "HistoScan",
-    "FocusLock",
-    "FOVLock"
-  ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_hik_holo.json b/imcontrol_setups/example_uc2_hik_holo.json
deleted file mode 100644
index d115c79..0000000
--- a/imcontrol_setups/example_uc2_hik_holo.json
+++ /dev/null
@@ -1,133 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "isEnable": true,
-        "enableauto": false,
-        "stepsizeX": -0.3125,
-        "stepsizeY": -0.3125,
-        "stepsizeZ": 0.3125,
-        "homeSpeedX": 15000,
-        "homeSpeedY": 15000,
-        "homeSpeedZ": 15000,
-        "isDualaxis": true,
-        "homeDirectionX": 1,
-        "backlashXOld": 15,
-        "backlashYOld": 40,
-        "backlashX": 0,
-        "backlashY": 0,
-        "homeEndstoppolarityY": 0,
-        "homeDirectionY": -1,
-        "homeDirectionZ": 0,
-        "homeXenabled": 1,
-        "homeYenabled": 1,
-        "homeZenabled": 0,
-        "initialSpeed": {
-          "X": 15000,
-          "Y": 15000,
-          "Z": 15000
-        }
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "COM3",
-        "baudrate":500000,
-        "debug": true
-      }
-    }
-  },
-  "lasers": {
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "HikCamManager",
-      "managerProperties": {
-        "isRGB": 0,
-        "cameraListIndex": 0,
-        "cameraEffPixelsize": 0.2257,
-        "mocktype": "OffAxisHolo",
-        "hikcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "dpc": {
-    "wavelength": 0.53,
-    "pixelsize": 0.2,
-    "NA":0.3,
-    "NAi": 0.3,
-    "n": 1.0,
-    "rotations": [0, 180, 90, 270]
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Holo",
-    "FFT",
-    "LEDMatrix",
-    "DPC"
-  ],
-  "nonAvailableWidgets": [
-    "STORMRecon",
-    "DPC",
-    "Hypha",
-    "FocusLock",
-    "HistoScan",
-    "FocusLock",
-    "FOVLock"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_histo_basler.json b/imcontrol_setups/example_uc2_histo_basler.json
deleted file mode 100644
index 9a7c4df..0000000
--- a/imcontrol_setups/example_uc2_histo_basler.json
+++ /dev/null
@@ -1,169 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "stepsizeX": 0.8,
-        "stepsizeY": 0.8,
-        "stepsizeZ": 1
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM3",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": true,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -32000,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0.1
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": true,
-        "filter_axis": 3,
-        "filter_position": 18000,
-        "filter_position_init": -0,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0.1
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    },
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "LED",
-        "filter_change": true,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 255
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "BaslerManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "cameraEffPixelsize": 0.08,
-        "basler": {
-          "isRGB": true,
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "scan": {
-    "scanDesigner": "BetaScanDesigner",
-    "scanDesignerParams": {
-      "return_time": 0.01
-    },
-    "TTLCycleDesigner": "BetaTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus",
-    "LEDMatrix",
-    "MCT",
-    "UC2Config",
-    "PixelCalibration"
-  ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_histo_daheng.json b/imcontrol_setups/example_uc2_histo_daheng.json
deleted file mode 100644
index 410262b..0000000
--- a/imcontrol_setups/example_uc2_histo_daheng.json
+++ /dev/null
@@ -1,222 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "isEnable": true,
-        "enableauto": false,
-        "stepsizeX": 0.3125,
-        "stepsizeY": 0.3125,
-        "stepsizeZ": 0.3125,
-        "homeSpeedX": 15000,
-        "homeSpeedY": 15000,
-        "homeSpeedZ": 15000,
-        "isDualaxis": true,
-        "backlashXOld": 15,
-        "backlashYOld": 40,
-        "backlashX": 0,
-        "backlashY": 0,
-        "homeEndstoppolarityX": 0,
-        "homeEndstoppolarityY": 0,
-        "homeDirectionX": 0,
-        "homeDirectionY": 1,
-        "homeDirectionZ": 0,
-        "homeOnStartX": 1,
-        "homeOnStartY": 1,
-        "homeXenabled": 1,
-        "homeYenabled": 1,
-        "homeZenabled": 0,
-        "initialSpeed": {"X": 15000, "Y":  15000, "Z": 15000, "A": 15000}
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z",
-        "A"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "COM3",
-        "serialport_": "/dev/cu./dev/cu.SLAB_USBtoUART",
-        "debug":0, 
-        "baudrate": 500000,
-        "baudrate1": 115200
-      }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 3,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1
-      },
-      "wavelength": 1024,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "ExtPackage": "imswitch_det_webcam",
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "cameraEffPixelsize": 0.327,
-        "gxipycam": {
-          "exposure": 20,
-          "gain": 0,
-          "blacklevel": 10,
-          "image_width": 1000,
-          "image_height": 1000,
-          "flipX": true,
-          "flipY": true
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }, 
-    "Observer": {
-      "managerName": "OpenCVCamManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "cameraListIndexWIN": 0,
-        "cameraEffPixelsize":100,
-        "cameraPixelSize":100,
-        "isRGB":1,
-        "opencvcam": {
-          "exposure": 10
-        }
-      },
-      "forAcquisition": false
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "uc2Config": {
-    "defaultConfig": "pindefWemos.json",
-    "defaultConfig2": "pindefUC2Standalon2.json",
-    "defaultConfig1": "pindefUC2Standalon.json"
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "dpc": {
-    "wavelength": 0.53,
-    "pixelsize": 0.2,
-    "NA":0.3,
-    "NAi": 0.3,
-    "n": 1.0,
-    "rotations": [0, 180, 90, 270]
-  },
-  "webrtc":{},
-  "PixelCalibration": {},
-  "availableWidgets": [
-    "Settings",
-    "Positioner",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "MCT",
-    "UC2Config",
-    "ImSwitchServer",
-    "Autofocus",
-    "ROIScan",
-    "LEDMatrix", 
-    "HistoScan"
-  ],
-  "nonAvailableWidgets":[
-    "ObjectiveRevolver",
-    "Temperature",
-    "ObjectiveRevolver",
-
-    "STORMRecon",
-    "Autofocus",
-    "ROIScan",
-    "FocusLock",
-    "HistoScan",
-    "PixelCalibration",
-    "Hypha",
-    "LEDMatrix",
-    "FocusLock"]
-}
diff --git a/imcontrol_setups/example_uc2_holo_vimba_.json b/imcontrol_setups/example_uc2_holo_vimba_.json
deleted file mode 100644
index 2486bd4..0000000
--- a/imcontrol_setups/example_uc2_holo_vimba_.json
+++ /dev/null
@@ -1,97 +0,0 @@
-{
-  "positioners": {
-    "LightsheetStage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-          "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-  "ESP32": {
-    "managerName": "ESP32Manager",
-    "managerProperties": {
-      "host": "192.168.137.95"
-    }
-  }
-},
-"lasers": {
-  "488 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "",
-        "filter_change": false
-    },
-    "wavelength": 488,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-},
-"Lightsheet X-position": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LightSheetManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "axis": "pos_x"
-    },
-    "wavelength": 0,
-    "valueRangeMin": 0,
-    "valueRangeMax": 255
-  },
-  "Lightsheet Y-Amplitude": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LightSheetManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "axis": "amp_y"
-    },
-    "wavelength": 0,
-    "valueRangeMin": 0,
-    "valueRangeMax": 255
-  }  
-},
-"detectors": {
-  "HoloCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerNameGX": "GXPIPYManager",
-    "managerName": "AVManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "avcam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000,
-        "pixel_format": "Mono12"
-      }
-    },
-    "forAcquisition": true
-  }
-},
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Holo"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_hpyha.json b/imcontrol_setups/example_uc2_hpyha.json
deleted file mode 100644
index 771f0f7..0000000
--- a/imcontrol_setups/example_uc2_hpyha.json
+++ /dev/null
@@ -1,99 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "isEnable": true,
-        "enableauto": false,
-        "stepsizeX": -0.3125,
-        "stepsizeY": -0.3125,
-        "stepsizeZ": 0.3125,
-        "homeSpeedX": 15000,
-        "homeSpeedY": 15000,
-        "homeSpeedZ": 15000,
-        "isDualaxis": true,
-        "homeDirectionX": 1,
-        "backlashX": 15,
-        "backlashY": 40,
-        "homeDirectionY": 1,
-        "homeDirectionZ": 0,
-        "homeXenabled": 1,
-        "homeYenabled": 1,
-        "homeZenabled": 0,
-        "initialSpeed": {
-          "X": 15000,
-          "Y": 15000,
-          "Z": 15000
-        }
-      },
-      "axes": ["X", "Y", "Z"],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "COM3",
-        "baudrate": 500000,
-        "debug": true
-      }
-    }
-  },
-  "lasers": {
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "HikCamManager",
-      "managerProperties": {
-        "isRGB": 1,
-        "cameraListIndex": 0,
-        "cameraEffPixelsize": 0.1,
-        "hikcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "scan": {
-    "scanDesigner": "BetaScanDesigner",
-    "scanDesignerParams": {
-        "return_time": 0.01
-    },
-    "TTLCycleDesigner": "BetaTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-  },
-  "availableWidgets": [
-    "Settings",
-    "Laser",
-    "View",
-    "Recording",
-    "Image",
-    "Positioner",
-    "Hypha"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_hypha.json b/imcontrol_setups/example_uc2_hypha.json
deleted file mode 100644
index 02fb845..0000000
--- a/imcontrol_setups/example_uc2_hypha.json
+++ /dev/null
@@ -1,125 +0,0 @@
-{
-    "positioners": {
-        "LightsheetStage": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32"
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z"
-            ],
-            "isPositiveDirection": true,
-            "forPositioning": true,
-            "forScanning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.137.95",
-                "serialport": "COM3"
-            }
-        }
-    },
-
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "3",
-        "filter_change": false,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "ExtPackage": "imswitch_det_webcam",
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "gxipycam": {
-          "exposure": 20,
-          "gain": 0,
-          "blacklevel": 10,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }},
-    "LEDMatrixs": {
-        "ESP32 LEDMatrix": {
-          "analogChannel": null,
-          "digitalLine": null,
-          "managerName": "ESP32LEDMatrixManager",
-          "managerProperties": {
-            "rs232device": "ESP32",
-            "Nx": 4,
-            "Ny": 4
-          },
-          "wavelength": 488,
-          "valueRangeMin": 0,
-          "valueRangeMax": 32768
-        }
-      },    
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Hypha",
-        "Laser",
-        "LEDMatrix", 
-        "ObjectiveRevolver",
-        "BeadRec", 
-        "FLIMLabs"
-      ]
-    }
-  
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_ism.json b/imcontrol_setups/example_uc2_ism.json
deleted file mode 100644
index 40da8ae..0000000
--- a/imcontrol_setups/example_uc2_ism.json
+++ /dev/null
@@ -1,122 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM3",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-"lasers": {
-  "532 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": true, 
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -32000,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0.1
-    },
-    "wavelength": 532,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-}
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "GXPIPYManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "gxipycam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true,
-    "forFocusLock": true
-  }
-},
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-"LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": "B",
-          "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "scan": {
-    "scanDesigner": "BetaScanDesigner",
-    "scanDesignerParams": {
-        "return_time": 0.01
-    },
-    "TTLCycleDesigner": "BetaTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-},
-"ism": {
-  "monitorIdx": 2,
-  "width": 1080,
-  "height": 1920,
-  "wavelength": 0,
-  "pixelSize": 0,
-  "angleMount": 0,
-  "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-  "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "ISM"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_ism_daheng.json b/imcontrol_setups/example_uc2_ism_daheng.json
deleted file mode 100644
index 4883011..0000000
--- a/imcontrol_setups/example_uc2_ism_daheng.json
+++ /dev/null
@@ -1,159 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM3",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-"lasers": {
-  "488 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": true,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -32000,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0.1
-    },
-    "wavelength": 488,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-},
-"635 Laser": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": 2,
-      "filter_change": true,
-      "filter_axis": 3,
-      "filter_position": 18000,
-      "filter_position_init": -0,
-      "laser_despeckle_period": 10,
-      "laser_despeckle_amplitude": 0.1
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-},
-"LED": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": "LED",
-      "filter_change": true,
-      "filter_axis": 3,
-      "filter_position": 32000,
-      "filter_position_init": -0
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 255
-}
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "GXPIPYManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "gxipycam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true,
-    "forFocusLock": true
-  }
-},
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-"LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": "B",
-          "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "scan": {
-    "scanDesigner": "BetaScanDesigner",
-    "scanDesignerParams": {
-        "return_time": 0.01
-    },
-    "TTLCycleDesigner": "BetaTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-},
-"ism": {
-  "monitorIdx": 2,
-  "width": 1080,
-  "height": 1920,
-  "wavelength": 0,
-  "pixelSize": 0,
-  "angleMount": 0,
-  "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-  "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus",
-    "LEDMatrix",
-    "Scan",
-    "ISM"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_jannick.json b/imcontrol_setups/example_uc2_jannick.json
deleted file mode 100644
index f143aee..0000000
--- a/imcontrol_setups/example_uc2_jannick.json
+++ /dev/null
@@ -1,94 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "enableauto": 1,
-        "isEnable": 1,
-        "isDualaxis":1
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "COM4",
-        "serialport_": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "ExtPackage": "imswitch_det_webcam",
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "gxipycam": {
-          "exposure": 20,
-          "gain": 0,
-          "blacklevel": 10,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": false
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "uc2Config": {
-    "defaultConfig": "pindefWemos.json",
-    "defaultConfig2": "pindefUC2Standalon2.json",
-    "defaultConfig1": "pindefUC2Standalon.json"
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "availableWidgets": [
-    "Settings",
-    "Positioner",
-    "View",
-    "Recording",
-    "Image",
-    "MCT",
-    "UC2Config",
-    "ImSwitchServer",
-    "Autofocus",  
-    "ROIScan"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_jetson_nano_cam.json b/imcontrol_setups/example_uc2_jetson_nano_cam.json
deleted file mode 100644
index 42b9474..0000000
--- a/imcontrol_setups/example_uc2_jetson_nano_cam.json
+++ /dev/null
@@ -1,58 +0,0 @@
-{
-  "positioners": {
-    "GRBLStage": {
-        "managerName": "GRBLStageManager",
-        "managerProperties": {
-          "rs232device_mac": "/dev/cu.wchusbserial14330",
-          "rs232device_linux": "/dev/ttyUSB0",
-          "rs232device": "GRBL"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-  "GRBL": {
-    "managerName": "GRBLManager",
-    "managerProperties": {
-      "port": "/dev/ttyUSB0",
-      "is_home": false
-    }
-  }
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "JetsonCamManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "avcam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true
-  }
-},
-  "rois": {
-    "Full chip": {
-      "x": 0,
-      "y": 0,
-      "w": 1000,
-      "h": 2048
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_labmaite.json b/imcontrol_setups/example_uc2_labmaite.json
deleted file mode 100644
index 19e6112..0000000
--- a/imcontrol_setups/example_uc2_labmaite.json
+++ /dev/null
@@ -1,146 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "stepsizeX": 0.3125,
-        "stepsizeY": 0.3125,
-        "stepsizeZ": 0.3125,
-        "homeSpeedX": 15000,
-        "homeSpeedY": 15000,
-        "homeSpeedZ": 15000,
-        "homeDirectionX": -1,
-        "homeDirectionY": -1,
-        "homeDirectionZ": -1,
-        "initialSpeed": {"X": 15000, "Y":  15000,"Z": 15000}
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "deck": {
-    "OpentronsDeck": {
-      "translate_units": "mm2um",
-      "deck_file_": "C:\\Users\\matia_n97ktw5\\Documents\\LABMaiTE\\BMBF-LOCai\\locai-hw\\locai\\deck\\ot2_uc2.json",
-      "deck_file": "/Users/bene/Dropbox/Dokumente/Promotion/PROJECTS/MicronController/PYTHON/ImSwitch/locai/deck/ot2_locai.json",
-      "labwares": {
-        "custom_labwares_path_": "C:\\Users\\matia_n97ktw5\\Documents\\LABMaiTE\\BMBF-LOCai\\locai-hw\\locai\\custom_labware",
-        "custom_labwares_path": "/Users/bene/Dropbox/Dokumente/Promotion/PROJECTS/MicronController/PYTHON/ImSwitch/locai/custom_labware",
-        "standard": {
-            "1": "corning_96_wellplate_360ul_flat"
-        },
-        "custom": {
-        }
-      },
-      "default_positions": {
-        "center": [0, 0],
-        "left": [-0.01, 0],
-        "right": [0.01, 0],
-        "up": [0, 0.01],
-        "down": [0, -0.01]
-      }
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM9",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "lasers": {
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "LED",
-        "filter_change": true,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 255
-    }
-  },
-  "detectors": {
-        "WidefieldCamera": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "GXPIPYManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "cameraEffPixelsize": 0.1,
-                "gxipycam": {
-                    "exposure": 0,
-                    "binning": 1,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": false
-        }
-    },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "mct": {
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Autofocus",
-    "Positioner",
-    "LEDMatrix",
-    "Deck",
-    "DeckScan",
-    "Hypha",
-    "HistoScan"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_labmaite_v2.json b/imcontrol_setups/example_uc2_labmaite_v2.json
deleted file mode 100644
index 1f4574f..0000000
--- a/imcontrol_setups/example_uc2_labmaite_v2.json
+++ /dev/null
@@ -1,408 +0,0 @@
-{
-    "positioners": {
-        "ESP32Stage": {
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "isEnable": true,
-                "enableauto": false,
-                "stepsizeX": -0.3125,
-                "stepsizeY": -0.3125,
-                "stepsizeZ": 0.3125,
-                "homeSpeedX": 15000,
-                "homeSpeedY": 15000,
-                "homeSpeedZ": 15000,
-                "homeEndstoppolarityX":0,
-                "homeEndstoppolarityY":0,
-                "isDualaxis": true,
-                "homeDirectionX": 1,
-                "backlashX": 15,
-                "backlashY": 40,
-                "homeDirectionY": 1,
-                "homeDirectionZ": 0,
-                "homeXenabled": 1,
-                "homeYenabled": 1,
-                "homeZenabled": 0,
-                "initialSpeed": {
-                    "X": 25000,
-                    "Y": 25000,
-                    "Z": 25000,
-                    "A": 25000
-                }
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z",
-                "A"
-            ],
-            "forScanning": true,
-            "forPositioning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.43.129",
-                "serialport": "COM3",
-                "debug":0
-            }
-        }
-    },
-    "lasers": {
-        "Laser 532": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": 1
-            },
-            "wavelength": 532,
-            "valueRangeMin": 0,
-            "valueRangeMax": 1023
-        },
-        "LED": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": 2,
-                "filter_change": false,
-                "laser_despeckle_period": 10,
-                "laser_despeckle_amplitude": 0
-            },
-            "wavelength": 488,
-            "valueRangeMin": 0,
-            "valueRangeMax": 1024
-        },
-        "LED Ring": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": "LED",
-                "filter_change": false,
-                "laser_despeckle_period": 10,
-                "laser_despeckle_amplitude": 0
-            },
-            "wavelength": 635,
-            "valueRangeMin": 0,
-            "valueRangeMax": 1024
-        }
-    },
-    "detectors": {
-        "WidefieldCamera": {
-            "ExtPackage": "imswitch_det_webcam",
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "GXPIPYManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "cameraEffPixelsize": 0.45,
-                "gxipycam": {
-                    "exposure": 20,
-                    "gain": 0,
-                    "blacklevel": 10,
-                    "image_width": 1000,
-                    "image_height": 1000
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": true
-        }
-    },
-    "rois": {
-        "Full chip": {
-            "x": 600,
-            "y": 600,
-            "w": 1200,
-            "h": 1200
-        }
-    },
-    "HistoScan": {
-        "PreviewCamera1": "ESP32Cam"
-    },
-    "autofocus": {
-        "camera": "WidefieldCamera",
-        "positioner": "ESP32Stage",
-        "updateFreq": 10,
-        "frameCropx": 780,
-        "frameCropy": 400,
-        "frameCropw": 500,
-        "frameCroph": 100
-    },
-    "mct": {
-        "monitorIdx": 2,
-        "width": 1080,
-        "height": 1920,
-        "wavelength": 0,
-        "pixelSize": 0,
-        "angleMount": 0,
-        "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-        "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-    },
-    "dpc": {
-        "wavelength": 0.53,
-        "pixelsize": 0.2,
-        "NA": 0.3,
-        "NAi": 0.3,
-        "n": 1.0,
-        "rotations": [
-            0,
-            180,
-            90,
-            270
-        ]
-    },
-    "webrtc": {},
-    "PixelCalibration": {},
-    "focusLock": {
-        "camera": "WidefieldCamera",
-        "positioner": "ESP32StageManager",
-        "updateFreq": 4,
-        "frameCropx": 0,
-        "frameCropy": 0,
-        "frameCropw": 0,
-        "frameCroph": 0
-    },
-    "LEDMatrixs": {
-        "ESP32 LEDMatrix": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDMatrixManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "Nx": 4,
-                "Ny": 4,
-                "SpecialPattern1": [
-                    {
-                        "id": 9,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 10,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 11,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 12,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 13,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 14,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 15,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 16,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 17,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 18,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 19,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 20,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 21,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 22,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 23,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    },
-                    {
-                        "id": 24,
-                        "r": 255,
-                        "g": 255,
-                        "b": 255
-                    }
-                ],
-                "SpecialPattern2": [
-                    {
-                        "id": 9,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 10,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 11,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 12,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 13,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 14,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 15,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 16,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 17,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 18,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 19,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 20,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 21,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 22,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 23,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    },
-                    {
-                        "id": 24,
-                        "r": 0,
-                        "g": 255,
-                        "b": 0
-                    }
-                ]
-            },
-            "wavelength": 488,
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768
-        }
-    },
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "Positioner",
-        "Autofocus",
-        "MCT",
-        "UC2Config",
-        "ImSwitchServer",
-        "PixelCalibration",
-        "HistoScan",
-        "Hypha",
-        "LEDMatrix",
-        "Joystick",
-        "ROIScan"
-    ],
-    "nonAvailableWidgets": [
-        "STORMRecon",
-        "DPC",
-        "FocusLock",
-        "HistoScan",
-        "FocusLock"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_ledmatrix.json b/imcontrol_setups/example_uc2_ledmatrix.json
deleted file mode 100644
index ce45e6c..0000000
--- a/imcontrol_setups/example_uc2_ledmatrix.json
+++ /dev/null
@@ -1,128 +0,0 @@
-{
-  "positioners": {
-    "LightsheetStage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32"
-      },
-      "axes": ["X", "Y", "Z"],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_": "COM4",
-        "serialport": "/dev/cu.wchusbserial1440",
-        "baudrate": 500000,
-        "debug": 1
-      }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "B",
-        "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "R",
-        "filter_change": true
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    },
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "W",
-        "filter_change": false
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "B",
-        "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerNameGX": "GXPIPYManager",
-      "managerName": "AVManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "avcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000,
-          "pixel_format": "Mono12"
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-  "dpc": {
-    "wavelength": 0.53,
-    "pixelsize": 0.2,
-    "NA": 0.3,
-    "NAi": 0.3,
-    "n": 1.0,
-    "rotations": [0, 180, 90, 270]
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "WellPlate",
-    "LEDMatrix",
-    "DPC"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_lightsheet.json b/imcontrol_setups/example_uc2_lightsheet.json
deleted file mode 100644
index df8074c..0000000
--- a/imcontrol_setups/example_uc2_lightsheet.json
+++ /dev/null
@@ -1,106 +0,0 @@
-{
-  "positioners": {
-    "LightsheetStage": {
-        "managerNameESP32": "ESP32StageManager",
-        "managerName": "GRBLStageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host": "192.168.137.113"
-      }
-    }
-  },
-  "ESP32": {
-    "managerName": "ESP32Manager",
-    "managerProperties": {
-      "host": "192.168.137.95"
-    }
-  }
-},
-"lasers": {
-  "488 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "B",
-        "filter_change": true
-    },
-    "wavelength": 488,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-},
-"635 Laser": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": "R",
-      "filter_change": true
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-},
-"LED": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": "W",
-      "filter_change": false
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-}
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName1": "GXPIPYManager",
-    "managerName": "AVManager",
-    "managerProperties1": "gxipycam",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "avcam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true
-  }
-},
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_lightsheet_STORM_backup.json b/imcontrol_setups/example_uc2_lightsheet_STORM_backup.json
deleted file mode 100644
index 33d49e1..0000000
--- a/imcontrol_setups/example_uc2_lightsheet_STORM_backup.json
+++ /dev/null
@@ -1,84 +0,0 @@
-{
-    "positioners": {
-      "LightsheetStage": {
-          "managerName": "GRBLStageManager",
-          "managerProperties": {
-            "rs232device": "GRBL",
-            "host": "192.168.137.206"
-          },
-          "axes": ["X", "Y", "Z"],
-          "forScanning": true,
-          "forPositioning": true
-      }
-  },
-  "rs232devices": {
-    "GRBL": {
-      "managerName": "GRBLManager",
-      "managerProperties": {
-        "port": "COM4",
-        "is_home": false
-      }
-    }
-  },
-  "635 Lasesr": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "GRBLLaserManager",
-    "managerProperties": {
-        "rs232device": "GRBL",
-        "channel": "LASER"
-    },
-    "wavelength": 635,
-    "valueRangeMin": 0,
-    "valueRangeMax": 1023,
-    "valueRangeStep": 1
-  },
-  "White LED": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "GRBLLaserManager",
-    "managerProperties": {
-        "rs232device": "GRBL",
-        "channel": "LED"
-    },
-    "wavelength": 500,
-    "valueRangeMin": 0,
-    "valueRangeMax": 1,
-    "valueRangeStep": 1
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "gxipycam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "Laser",
-      "Positioner"
-    ]
-  }
-  
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_lightsheet_gxipy.json b/imcontrol_setups/example_uc2_lightsheet_gxipy.json
deleted file mode 100644
index 0252229..0000000
--- a/imcontrol_setups/example_uc2_lightsheet_gxipy.json
+++ /dev/null
@@ -1,158 +0,0 @@
-{
-    "detectors": {
-        "LightSheet": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "GXPIPYManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "gxipycam": {
-                    "exposure": 0,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "binning": 2
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": true
-        }
-    },
-    "lasers": {
-        "488 Laser": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": "",
-                "filter_change": false
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768,
-            "wavelength": 488,
-            "freqRangeMin": 0,
-            "freqRangeMax": 0,
-            "freqRangeInit": 0,
-            "valueRangeStep": 1.0
-        },
-        "LED": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": "W",
-                "filter_change": false
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768,
-            "wavelength": 1000,
-            "freqRangeMin": 0,
-            "freqRangeMax": 0,
-            "freqRangeInit": 0,
-            "valueRangeStep": 1.0
-        },
-        "Lightsheet X-position": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LightSheetManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "axis": "pos_x"
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 255,
-            "wavelength": 0,
-            "freqRangeMin": 0,
-            "freqRangeMax": 0,
-            "freqRangeInit": 0,
-            "valueRangeStep": 1.0
-        },
-        "Lightsheet Y-Amplitude": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LightSheetManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "axis": "amp_y"
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 255,
-            "wavelength": 0,
-            "freqRangeMin": 0,
-            "freqRangeMax": 0,
-            "freqRangeInit": 0,
-            "valueRangeStep": 1.0
-        }
-    },
-    "positioners": {
-        "LightsheetStage": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32"
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z"
-            ],
-            "isPositiveDirection": true,
-            "forPositioning": true,
-            "forScanning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.137.95",
-                "serialport": "COM3"
-            }
-        }
-    },
-    "slm": null,
-    "focusLock": null,
-    "autofocus": null,
-    "scan": null,
-    "nidaq": {
-        "timerCounterChannel": null,
-        "startTrigger": false
-    },
-    "pulseStreamer": {
-        "ipAddress": null
-    },
-    "pyroServerInfo": {
-        "name": "ImSwitchServer",
-        "host": "127.0.0.1",
-        "port": 54333
-    },
-    "rois": {
-        "Full chip": {
-            "x": 600,
-            "y": 600,
-            "w": 1200,
-            "h": 1200
-        },
-        "feptube": {
-            "x": 916,
-            "y": 948,
-            "w": 896,
-            "h": 620
-        }
-    },
-    "laserPresets": {},
-    "defaultLaserPresetForScan": null,
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "Positioner",
-        "LightSheet"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_lightsheet_gxipy_holisheet.json b/imcontrol_setups/example_uc2_lightsheet_gxipy_holisheet.json
deleted file mode 100644
index 1e2dc4d..0000000
--- a/imcontrol_setups/example_uc2_lightsheet_gxipy_holisheet.json
+++ /dev/null
@@ -1,158 +0,0 @@
-{
-    "detectors": {
-        "LightSheet": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "GXPIPYManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "gxipycam": {
-                    "exposure": 0,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "binning": 2
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": true
-        }
-    },
-    "lasers": {
-        "488 Laser": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": "",
-                "filter_change": false
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768,
-            "wavelength": 488,
-            "freqRangeMin": 0,
-            "freqRangeMax": 0,
-            "freqRangeInit": 0,
-            "valueRangeStep": 1.0
-        },
-        "LED": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": "W",
-                "filter_change": false
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768,
-            "wavelength": 1000,
-            "freqRangeMin": 0,
-            "freqRangeMax": 0,
-            "freqRangeInit": 0,
-            "valueRangeStep": 1.0
-        },
-        "Lightsheet X-position": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LightSheetManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "axis": "pos_x"
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 255,
-            "wavelength": 0,
-            "freqRangeMin": 0,
-            "freqRangeMax": 0,
-            "freqRangeInit": 0,
-            "valueRangeStep": 1.0
-        },
-        "Lightsheet Y-Amplitude": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LightSheetManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "axis": "amp_y"
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 255,
-            "wavelength": 0,
-            "freqRangeMin": 0,
-            "freqRangeMax": 0,
-            "freqRangeInit": 0,
-            "valueRangeStep": 1.0
-        }
-    },
-    "positioners": {
-        "LightsheetStage": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32"
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z"
-            ],
-            "isPositiveDirection": true,
-            "forPositioning": true,
-            "forScanning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.137.95",
-                "serialport": "COM3"
-            }
-        }
-    },
-    "slm": null,
-    "focusLock": null,
-    "autofocus": null,
-    "scan": null,
-    "nidaq": {
-        "timerCounterChannel": null,
-        "startTrigger": false
-    },
-    "pulseStreamer": {
-        "ipAddress": null
-    },
-    "pyroServerInfo": {
-        "name": "ImSwitchServer",
-        "host": "127.0.0.1",
-        "port": 54333
-    },
-    "rois": {
-        "Full chip": {
-            "x": 600,
-            "y": 600,
-            "w": 1200,
-            "h": 1200
-        },
-        "feptube": {
-            "x": 916,
-            "y": 948,
-            "w": 896,
-            "h": 620
-        }
-    },
-    "laserPresets": {},
-    "defaultLaserPresetForScan": null,
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "Positioner",
-        "HoliSheet"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_lightsheet_michael_vimba.json b/imcontrol_setups/example_uc2_lightsheet_michael_vimba.json
deleted file mode 100644
index a9fc68e..0000000
--- a/imcontrol_setups/example_uc2_lightsheet_michael_vimba.json
+++ /dev/null
@@ -1,160 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM3",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-"lasers": {
-  "488 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": false, 
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -32000,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0.1
-    },
-    "wavelength": 488,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-},
-"635 Laser": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": 2,
-      "filter_change": false,
-      "filter_axis": 3,
-      "filter_position": 18000,
-      "filter_position_init": -0,
-      "laser_despeckle_period": 10,
-      "laser_despeckle_amplitude": 0.1
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-},
-"LED": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": "LED",
-      "filter_change": false,
-      "filter_axis": 3,
-      "filter_position": 32000,
-      "filter_position_init": -0
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 255
-}
-},
-"detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerNameGX": "GXPIPYManager",
-      "managerName": "AVManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "avcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000,
-          "pixel_format": "Mono12"
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-"LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": "B",
-          "filter_change": false
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "scan": {
-    "scanDesigner": "BetaScanDesigner",
-    "scanDesignerParams": {
-        "return_time": 0.01
-    },
-    "TTLCycleDesigner": "BetaTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-},
-"mct": {
-  "monitorIdx": 2,
-  "width": 1080,
-  "height": 1920,
-  "wavelength": 0,
-  "pixelSize": 0,
-  "angleMount": 0,
-  "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-  "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus",
-    "LEDMatrix",
-    "Scan",
-    "MCT"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_lightsheet_rotating.json b/imcontrol_setups/example_uc2_lightsheet_rotating.json
deleted file mode 100644
index 598ef18..0000000
--- a/imcontrol_setups/example_uc2_lightsheet_rotating.json
+++ /dev/null
@@ -1,139 +0,0 @@
-{
-    "detectors": {
-        "LightSheet": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "GXPIPYManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "gxipycam": {
-                    "exposure": 0,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "binning": 2
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": true
-        },
-        "Holography": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "GXPIPYManager",
-            "managerProperties": {
-                "cameraListIndex": 2,
-                "gxipycam": {
-                    "exposure": 0,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "binning": 2
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": true
-        }
-    },
-    "lasers": {
-        "635 Laser": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": 1,
-                "filter_change": false
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 255,
-            "wavelength": 635,
-            "valueRangeStep": 1.0
-        },
-        "LED": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": 2,
-                "filter_change": false
-            },
-            "valueRangeMin": 0,
-            "valueRangeMax": 255,
-            "wavelength": 0,
-            "valueRangeStep": 1.0
-        }
-    },
-    "positioners": {
-        "ESPStage": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32"
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z"
-            ],
-            "isPositiveDirection": true,
-            "forPositioning": true,
-            "forScanning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.43.129",
-                "serialport": "COM7",
-                "serialport_mac": "/dev/cu./dev/cu.SLAB_USBtoUART"
-            }
-        }
-    },
-    "slm": null,
-    "focusLock": null,
-    "autofocus": null,
-    "scan": null,
-    "nidaq": {
-        "timerCounterChannel": null,
-        "startTrigger": false
-    },
-    "pulseStreamer": {
-        "ipAddress": null
-    },
-    "pyroServerInfo": {
-        "name": "ImSwitchServer",
-        "host": "127.0.0.1",
-        "port": 54333
-    },
-    "rois": {
-        "Full chip": {
-            "x": 600,
-            "y": 600,
-            "w": 1200,
-            "h": 1200
-        },
-        "test": {
-            "x": 1000,
-            "y": 1000,
-            "w": 1000,
-            "h": 1000
-        }
-    },
-    "laserPresets": {},
-    "defaultLaserPresetForScan": null,
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "Positioner",
-        "Holo"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_lightsheet_vimba.json b/imcontrol_setups/example_uc2_lightsheet_vimba.json
deleted file mode 100644
index 8304c39..0000000
--- a/imcontrol_setups/example_uc2_lightsheet_vimba.json
+++ /dev/null
@@ -1,138 +0,0 @@
-{
-    "detectors": {
-        "WidefieldCamera": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "AVManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "avcam": {
-                    "exposure": 0,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "pixel_format": "Mono12"
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": false
-        }
-    },
-    "lasers": {
-        "Laser Red": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": 2,
-                "filter_change": false, 
-                "filter_axis": 1,
-                "filter_position": 0,
-                "filter_position_init": 0,
-                "laser_despeckle_period": 0,
-                "laser_despeckle_amplitude": 0
-            },
-            "wavelength": 488,
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768
-        },
-        "Laser Blue": {
-              "analogChannel": null,
-              "digitalLine": null,
-              "managerName": "ESP32LEDLaserManager",
-              "managerProperties": {
-                  "rs232device": "ESP32",
-                  "channel_index": 1,
-                  "filter_change": false, 
-                  "filter_axis": 1,
-                  "filter_position": 0,
-                  "filter_position_init": 0,
-                  "laser_despeckle_period": 0,
-                  "laser_despeckle_amplitude": 0
-              },
-              "wavelength": 488,
-              "valueRangeMin": 0,
-              "valueRangeMax": 32768
-          }          
-    },
-    "positioners": {
-        "LightsheetStage": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32"
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z"
-            ],
-            "isPositiveDirection": true,
-            "forPositioning": true,
-            "forScanning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.137.95",
-                "serialport": "COM3"
-            }
-        }
-    },
-    "slm": null,
-    "focusLock": null,
-    "autofocus": null,
-    "scan": null,
-    "nidaq": {
-        "timerCounterChannel": null,
-        "startTrigger": false
-    },
-    "pulseStreamer": {
-        "ipAddress": null
-    },
-    "pyroServerInfo": {
-        "name": "ImSwitchServer",
-        "host": "127.0.0.1",
-        "port": 54333
-    },
-    "rois": {
-        "Full chip": {
-            "x": 600,
-            "y": 600,
-            "w": 1200,
-            "h": 1200
-        },
-        "feptube": {
-            "x": 196,
-            "y": 476,
-            "w": 588,
-            "h": 452
-        }
-    },
-    "mct": {
-        "monitorIdx": 2,
-        "width": 1080,
-        "height": 1920,
-        "wavelength": 0,
-        "pixelSize": 0,
-        "angleMount": 0,
-        "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-        "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-      },
-    "laserPresets": {},
-    "defaultLaserPresetForScan": null,
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "Positioner",
-        "MCT"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_lightsheetdaheng.json b/imcontrol_setups/example_uc2_lightsheetdaheng.json
deleted file mode 100644
index 3341d5e..0000000
--- a/imcontrol_setups/example_uc2_lightsheetdaheng.json
+++ /dev/null
@@ -1,177 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "enableauto": 0,
-<<<<<<< Updated upstream
-        "isEnable": 1,
-        "homeXenabled": true, 
-        "homeStepsX":10000, 
-        "homeOnStartX": true,
-        "homeEndposReleaseX":5000,
-        "homeYenabled": true, 
-        "homeStepsY":10000, 
-        "homeOnStartY": true,
-        "homeEndposReleaseY":5000,
-        "homeAenabled": true, 
-        "homeStepsA":10000, 
-        "homeOnStarta": true,
-        "homeEndposReleaseA":5000,
-        "stepsizeX": -0.3125,
-        "stepsizeY": -0.3125,
-        "stepsizeZ": 0.3125
-=======
-        "isEnable": 1,        
-      "stepsizeX": 0.3125,
-      "stepsizeY": 0.3125,
-      "stepsizeZ": 0.3125,
-      "stepsizeA": 0.3125,
-      "initialSpeed": {"X": 15000, "Y":  15000, "Z": 15000, "A": 15000}
-
->>>>>>> Stashed changes
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z",
-        "A"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_": "COM3",
-        "serialport": "COM3",
-<<<<<<< Updated upstream
-        "baudrate":500000, 
-        "debug":1
-=======
-        "baudrate":115200
->>>>>>> Stashed changes
-       }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index":1,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 512
-    },
-    "LED Matrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "LED",
-        "filter_change": false,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 255
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "gxipycam": {
-          "exposure": 20,
-          "gain": 0,
-          "blacklevel": 10,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-    },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "webrtc":{},
-  "PixelCalibration": {},
-  "availableWidgets": [
-    "Settings",
-    "Positioner",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Lightsheet",
-    "UC2Config",
-    "Joystick",
-<<<<<<< Updated upstream
-    "LEDMatrix",
-    "HistoScan", 
-    "ROIScan",
-    "Lightsheet"
-=======
-    "LEDMatrix", 
-    "ROIScan"
->>>>>>> Stashed changes
-  ],
-  "nonAvailableWidgets":[
-    "STORMRecon",
-    "LEDMatrix",
-    "MCT",
-    "ImSwitchServer",
-    "PixelCalibration",
-    "Hypha",
-    "FocusLock",
-    "HistoScan", 
-    "FocusLock"]
-}
diff --git a/imcontrol_setups/example_uc2_lightsheethik.json b/imcontrol_setups/example_uc2_lightsheethik.json
deleted file mode 100644
index 5a3dc83..0000000
--- a/imcontrol_setups/example_uc2_lightsheethik.json
+++ /dev/null
@@ -1,184 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "enableauto": 0,
-        "isEnable": 1,
-        "homeXenabled": true, 
-        "homeStepsX":10000, 
-        "homeOnStartX": 0,
-        "homeEndposReleaseX":5000,
-        "homeYenabled": true, 
-        "homeStepsY":10000, 
-        "homeOnStartY": 0,
-        "homeEndposReleaseY":5000,
-        "homeAenabled": true, 
-        "homeStepsA":0, 
-        "homeOnStarta": true,
-        "homeEndposReleaseA":5000,
-        "stepsizeX": -0.3125,
-        "stepsizeY": -0.3125,
-        "stepsizeZ": 0.3125
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z",
-        "A"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_": "COM3",
-        "serialport": "COM3",
-        "baudrate":500000, 
-        "baudrate_":115200, 
-        "debug":1
-       }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index":1,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 512
-    },
-    "LED Matrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "LED",
-        "filter_change": false,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 255
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "HikCamManager",
-        "managerProperties": {
-            "isRGB": 0,
-            "cameraListIndex": 0,
-            "cameraEffPixelsize": 0.2257,
-            "hikcam": {
-                "exposure": 0,
-                "gain": 0,
-                "blacklevel": 100,
-                "image_width": 1000,
-                "image_height": 1000
-            }
-        },
-        "forAcquisition": true,
-        "forFocusLock": true
-    }
-    },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "uc2Config": {
-    "defaultConfig": "pindefWemos.json",
-    "defaultConfig2": "pindefUC2Standalon2.json",
-    "defaultConfig1": "pindefUC2Standalon.json"
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "dpc": {
-    "wavelength": 0.53,
-    "pixelsize": 0.2,
-    "NA":0.3,
-    "NAi": 0.3,
-    "n": 1.0,
-    "rotations": [0, 180, 90, 270]
-  },
-  "webrtc":{},
-  "PixelCalibration": {},
-  "availableWidgets": [
-    "Settings",
-    "Positioner",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "UC2Config",
-    "LEDMatrix",
-    "Lightsheet", 
-    "Hypha"
-    ],
-  "nonAvailableWidgets":[
-    "STORMRecon",
-    "LEDMatrix",
-    "Joystick",    
-    "HistoScan", 
-    "ROIScan",
-    "MCT",
-    "ImSwitchServer",
-    "PixelCalibration",
-    "Hypha",
-    "FocusLock",
-    "HistoScan", 
-    "FocusLock"]
-}
diff --git a/imcontrol_setups/example_uc2_multicolour.json b/imcontrol_setups/example_uc2_multicolour.json
deleted file mode 100644
index d4b72b5..0000000
--- a/imcontrol_setups/example_uc2_multicolour.json
+++ /dev/null
@@ -1,96 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "COM3",
-        "serialport_MAC": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-"lasers": {
-  "488 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 3,
-        "filter_change": true
-    },
-    "wavelength": 488,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-},
-"635 Laser": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": 1,
-      "filter_change": true
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-}
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "GXPIPYManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "gxipycam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true,
-    "forFocusLock": true
-  }
-},
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner", 
-    "Autofocus"
-  ],
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  }
-}
diff --git a/imcontrol_setups/example_uc2_multicolour_basler.json b/imcontrol_setups/example_uc2_multicolour_basler.json
deleted file mode 100644
index 3844087..0000000
--- a/imcontrol_setups/example_uc2_multicolour_basler.json
+++ /dev/null
@@ -1,98 +0,0 @@
-{
-  "positioners": {
-    "LightsheetStage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "axes_map": ["Y", "X", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host": "192.168.137.113"
-      }
-    }
-  },
-"lasers": {
-  "488 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "B",
-        "filter_change": true
-    },
-    "wavelength": 488,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-},
-"635 Laser": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": "R",
-      "filter_change": true
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-},
-"LED": {
-  "analogChannel": null,
-  "digitalLine": null,
-  "managerName": "ESP32LEDLaserManager",
-  "managerProperties": {
-      "rs232device": "ESP32",
-      "channel_index": "W",
-      "filter_change": false
-  },
-  "wavelength": 635,
-  "valueRangeMin": 0,
-  "valueRangeMax": 32768
-}
-},
-"detectors": {
-  "WidefieldCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "BaslerManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "cameraEffPixelsize": 0.08,
-      "basler": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000
-      }
-    },
-    "forAcquisition": true
-  }
-},
-"rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_multicolour_daheng_lena.json b/imcontrol_setups/example_uc2_multicolour_daheng_lena.json
deleted file mode 100644
index 8ba6b8b..0000000
--- a/imcontrol_setups/example_uc2_multicolour_daheng_lena.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "isEnable": true,
-        "enableauto": false,
-        "stepsizeX": -0.3125,
-        "stepsizeY": -0.3125,
-        "stepsizeZ": 0.3125,
-        "homeSpeedX": 15000,
-        "homeSpeedY": 15000,
-        "homeSpeedZ": 15000,
-        "isDualaxis": true,
-        "homeDirectionX": 1,
-        "backlashXOld": 15,
-        "backlashYOld": 40,
-        "backlashX": 0,
-        "backlashY": 0,
-        "homeEndstoppolarityY": 0,
-        "homeDirectionY": -1,
-        "homeDirectionZ": 0,
-        "homeXenabled": 1,
-        "homeYenabled": 1,
-        "homeZenabled": 0,
-        "initialSpeed": {"X": 15000, "Y":  15000, "Z": 15000, "A": 15000}
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z",
-        "A"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "COM3",
-        "serialport_": "/dev/cu./dev/cu.SLAB_USBtoUART",
-        "debug":1 , 
-        "baudrate_": 500000,
-        "baudrate": 115200
-      }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 3,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1
-      },
-      "wavelength": 1024,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "ExtPackage": "imswitch_det_webcam",
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "cameraEffPixelsize": 0.2257,
-        "gxipycam": {
-          "exposure": 20,
-          "gain": 0,
-          "blacklevel": 10,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }, 
-    "Observer": {
-      "managerName": "OpenCVCamManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "cameraListIndexWIN": 0,
-        "cameraEffPixelsize":100,
-        "cameraPixelSize":100,
-        "isRGB":1,
-        "opencvcam": {
-          "exposure": 10
-        }
-      },
-      "forAcquisition": false
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "uc2Config": {
-    "defaultConfig": "pindefWemos.json",
-    "defaultConfig2": "pindefUC2Standalon2.json",
-    "defaultConfig1": "pindefUC2Standalon.json"
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "dpc": {
-    "wavelength": 0.53,
-    "pixelsize": 0.2,
-    "NA":0.3,
-    "NAi": 0.3,
-    "n": 1.0,
-    "rotations": [0, 180, 90, 270]
-  },
-  "webrtc":{},
-  "PixelCalibration": {},
-  "availableWidgets": [
-    "Settings",
-    "Positioner",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "MCT",
-    "UC2Config",
-    "Autofocus",
-    "ROIScan",
-    "LEDMatrix",
-    "HistoScan", 
-    "DPC"
-  ],
-  "nonAvailableWidgets":[
-    "Temperature",
-    "STORMRecon",
-    "Autofocus",
-    "ROIScan",
-    "FocusLock",
-    "HistoScan",
-    "PixelCalibration",
-    "Hypha",
-    "LEDMatrix",
-    "FocusLock"]
-}
diff --git a/imcontrol_setups/example_uc2_multicolour_hikvision.json b/imcontrol_setups/example_uc2_multicolour_hikvision.json
deleted file mode 100644
index 6c1a2ce..0000000
--- a/imcontrol_setups/example_uc2_multicolour_hikvision.json
+++ /dev/null
@@ -1,195 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32"
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM5",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "Magnet": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 3,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "LED",
-        "filter_change": false,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 255
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "HikCamManager",
-      "managerProperties": {
-        "cameraListIndex": 0,
-        "hikcam": {
-          "exposure": 10,
-          "gain": 0,
-          "blacklevel": 0,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-    "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "uc2Config": {
-    "defaultConfig": "pindefWemos.json",
-    "defaultConfig2": "pindefUC2Standalon2.json",
-    "defaultConfig1": "pindefUC2Standalon.json"
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "webrtc":{},
-  "PixelCalibration": {},
-  "focusLock": {
-    "camera": "ESP32",
-    "port": "COM5",  
-    "positioner": "ESP32StageManager",
-    "updateFreq": 4,
-    "frameCropx": 0,
-    "frameCropy": 0,
-    "frameCropw": 0,
-    "frameCroph": 0
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "LEDMatrix",
-    "Positioner",
-    "Autofocus",
-    "MCT",
-    "UC2Config",
-    "ImSwitchServer",
-    "PixelCalibration",
-    "WebRTC"
-  ], 
-  "nonAvailableWidgets":[
-    "STORMRecon",
-    "FocusLock",
-    "DPC"],
-    "dpc": {
-      "wavelength": 0.53,
-      "pixelsize": 0.2,
-      "NA":0.3,
-      "NAi": 0.3,
-      "n": 1.0, 
-      "rotations": [0, 180, 90, 270]
-    }
-  }
diff --git a/imcontrol_setups/example_uc2_oct_eda.json b/imcontrol_setups/example_uc2_oct_eda.json
deleted file mode 100644
index da1f310..0000000
--- a/imcontrol_setups/example_uc2_oct_eda.json
+++ /dev/null
@@ -1,126 +0,0 @@
-{
-    "detectors": {
-        "WidefieldCamera": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "AVManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "avcam": {
-                    "exposure": 0,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "pixel_format": "Mono12"
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": false
-        }
-    },
-    "lasers": {
-        "Lens 1": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": 2,
-                "filter_change": false, 
-                "filter_axis": 1,
-                "filter_position": 0,
-                "filter_position_init": 0,
-                "laser_despeckle_period": 0,
-                "laser_despeckle_amplitude": 0
-            },
-            "wavelength": 488,
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768
-        },
-        "Lens 2": {
-              "analogChannel": null,
-              "digitalLine": null,
-              "managerName": "ESP32LEDLaserManager",
-              "managerProperties": {
-                  "rs232device": "ESP32",
-                  "channel_index": 1,
-                  "filter_change": false, 
-                  "filter_axis": 1,
-                  "filter_position": 0,
-                  "filter_position_init": 0,
-                  "laser_despeckle_period": 0,
-                  "laser_despeckle_amplitude": 0
-              },
-              "wavelength": 488,
-              "valueRangeMin": 0,
-              "valueRangeMax": 32768
-          }          
-    },
-    "positioners": {
-        "LightsheetStage": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32"
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z"
-            ],
-            "isPositiveDirection": true,
-            "forPositioning": true,
-            "forScanning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.137.95",
-                "serialport": "COM3"
-            }
-        }
-    },
-    "slm": null,
-    "focusLock": null,
-    "autofocus": null,
-    "scan": null,
-    "nidaq": {
-        "timerCounterChannel": null,
-        "startTrigger": false
-    },
-    "pulseStreamer": {
-        "ipAddress": null
-    },
-    "pyroServerInfo": {
-        "name": "ImSwitchServer",
-        "host": "127.0.0.1",
-        "port": 54333
-    },
-    "rois": {
-        "Full chip": {
-            "x": 600,
-            "y": 600,
-            "w": 1200,
-            "h": 1200
-        },
-        "feptube": {
-            "x": 196,
-            "y": 476,
-            "w": 588,
-            "h": 452
-        }
-    },
-    "laserPresets": {},
-    "defaultLaserPresetForScan": null,
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_opencvcam.json b/imcontrol_setups/example_uc2_opencvcam.json
deleted file mode 100644
index bde72cc..0000000
--- a/imcontrol_setups/example_uc2_opencvcam.json
+++ /dev/null
@@ -1,117 +0,0 @@
-{
-    "positioners": {
-      "LightsheetStage": {
-          "managerName": "ESP32StageManager",
-          "managerProperties": {
-              "rs232device": "ESP32"
-          },
-          "axes": ["X", "Y", "Z"],
-          "forScanning": true,
-          "forPositioning": true
-      }
-  },
-  "rs232devices": {
-      "ESP32": {
-        "managerName": "ESP32Manager",
-        "managerProperties": {
-          "host_": "192.168.43.129",
-          "serialport_": "COM4",
-          "serialport":"/dev/cu.wchusbserial1440"
-        }
-      }
-    },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": "B",
-          "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  },
-  "635 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "R",
-        "filter_change": true
-    },
-    "wavelength": 635,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-  },
-  "LED": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "W",
-        "filter_change": false
-    },
-    "wavelength": 635,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-  }
-},
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": "B",
-          "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerNameGX": "GXPIPYManager",
-      "managerName": "OpenCVCamManager",
-      "managerProperties": {
-        "cameraListIndex": 0,
-        "opencvcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000,
-          "pixel_format": "Mono12"
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "Laser",
-      "Positioner",
-      "WellPlate",
-      "LEDMatrix"
-    ]
-  }
diff --git a/imcontrol_setups/example_uc2_pco.json b/imcontrol_setups/example_uc2_pco.json
deleted file mode 100644
index bb11ac5..0000000
--- a/imcontrol_setups/example_uc2_pco.json
+++ /dev/null
@@ -1,138 +0,0 @@
-{
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "dummy"
-      }
-    }
-  },
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "enableauto": 0,
-        "isEnable": 1,
-        "homeXenabled": true, 
-        "homeStepsX":10000, 
-        "homeOnStartX": true,
-        "homeEndposReleaseX":5000,
-        "homeYenabled": true, 
-        "homeStepsY":10000, 
-        "homeOnStartY": true,
-        "homeEndposReleaseY":5000,
-        "homeAenabled": true, 
-        "homeStepsA":10000, 
-        "homeOnStarta": true,
-        "homeEndposReleaseA":5000,
-        "stepsizeX": -0.3125,
-        "stepsizeY": -0.3125,
-        "stepsizeZ": 0.3125
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z",
-        "A"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "PCOManager",
-      "managerProperties": {
-        "cameraListIndex": 0,
-        "PCOcam": {
-          "exposure": 0
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },  
-  "sim": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "imswitch_sim": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488",
-    "isSimulation": 0,
-    "nRotations": 3,
-    "nPhases": 3,
-    "isFastAPISIM": 1,
-    "simPixelsize": 1,
-    "simNA": 0,
-    "simN": 0,
-    "simETA": 0,
-    "fastAPISIM_host": "192.168.0.1",
-    "fastAPISIM_port": 0,
-    "tWaitSequence": 0
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Laser",
-      "Image",
-      "SIM",
-      "imswitch_sim"
-    ]
-  }
diff --git a/imcontrol_setups/example_uc2_pco_cellstorm.json b/imcontrol_setups/example_uc2_pco_cellstorm.json
deleted file mode 100644
index 2601bb3..0000000
--- a/imcontrol_setups/example_uc2_pco_cellstorm.json
+++ /dev/null
@@ -1,95 +0,0 @@
-{
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport": "dummy"
-      }
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "PCOManager",
-      "managerProperties": {
-        "cameraListIndex": 0,
-        "PCOcam": {
-          "exposure": 0
-        }
-      },
-      "forAcquisition": true
-    },    
-    "ESP32Cam": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "ESP32SerialCamManager",
-        "managerProperties": {
-          "cameraListIndex": 1,
-          "gxipycam": {
-            "exposure": 20,
-            "gain": 0,
-            "blacklevel": 10,
-            "image_width": 1000,
-            "image_height": 1000
-          }
-        },
-        "forAcquisition": true,
-        "forFocusLock": true
-      }
-  },
-  "lasers": {
-    "Lens 1": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "Lens 2": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "Laser 635": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "ESP32LEDLaserManager",
-        "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": 3
-                },
-        "wavelength": 635,
-        "valueRangeMin": 0,
-        "valueRangeMax": 1024
-      }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Laser",
-      "Image"
-    ]
-  }
diff --git a/imcontrol_setups/example_uc2_sim_daheng.json b/imcontrol_setups/example_uc2_sim_daheng.json
deleted file mode 100644
index 046e35e..0000000
--- a/imcontrol_setups/example_uc2_sim_daheng.json
+++ /dev/null
@@ -1,85 +0,0 @@
-{
-    "detectors": {
-        "WidefieldCamera": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "GXPIPYManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "gxipycam": {
-                    "exposure": 1,
-                    "gain": 0,
-                    "blacklevel": 10,
-                    "image_width": 1000,
-                    "image_height": 1000
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": true
-        }
-    },
-    "lasers": {
-        "488 Laser": {
-          "analogChannel": null,
-          "digitalLine": null,
-          "managerName": "ESP32LEDLaserManager",
-          "managerProperties": {
-            "rs232device": "ESP32",
-            "channel_index": 1,
-            "filter_change": false,
-            "laser_despeckle_period": 10,
-            "laser_despeckle_amplitude": 0
-          },
-          "wavelength": 488,
-          "valueRangeMin": 0,
-          "valueRangeMax": 1024
-        },
-        "635 Laser": {
-          "analogChannel": null,
-          "digitalLine": null,
-          "managerName": "ESP32LEDLaserManager",
-          "managerProperties": {
-            "rs232device": "ESP32",
-            "channel_index": 2,
-            "filter_change": false,
-            "laser_despeckle_period": 10,
-            "laser_despeckle_amplitude": 0
-          },
-          "wavelength": 635,
-          "valueRangeMin": 0,
-          "valueRangeMax": 1024
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.43.129",
-                "serialport": "COM12",
-                "serialport_MAC": "/dev/cu./dev/cu.SLAB_USBtoUART"
-            }
-        }
-    },
-    "sim": {
-        "fastAPISIM_host": "192.168.137.191",
-        "fastAPISIM_port": "8000",
-        "isFastAPISIM": true,
-        "nPhases": 3, 
-        "nRotations": 2,
-        "simPixelsize": 2.3,
-        "simMagnefication": 15,
-        "simNA": 0.5, 
-        "simETA": 0.6, 
-        "simN": 1.3
-        
-    },
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "UC2Config",
-        "SIM",
-        "Laser"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_storm_alliedvision.json b/imcontrol_setups/example_uc2_storm_alliedvision.json
deleted file mode 100644
index 0fca937..0000000
--- a/imcontrol_setups/example_uc2_storm_alliedvision.json
+++ /dev/null
@@ -1,139 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32"
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM5",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "LED",
-        "filter_change": false,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 255
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "AVManager",
-        "managerProperties": {
-            "cameraListIndex": 1,
-            "mocktype": "STORM",  
-            "mockstackpath": "/Users/bene/Downloads/New_SMLM_datasets/ROI_cos7MT_AF647fluopaint.tif",            
-            "avcam": {
-                "exposure": 0,
-                "gain": 0,
-                "blacklevel": 100,
-                "image_width": 1000,
-                "image_height": 1000,
-                "pixel_format": "Mono12"
-            }
-        },
-        "forAcquisition": true,
-        "forFocusLock": false
-    }
-},
-"rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus",
-    "STORMRecon"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_stormrecon.json b/imcontrol_setups/example_uc2_stormrecon.json
deleted file mode 100644
index bdaeb5c..0000000
--- a/imcontrol_setups/example_uc2_stormrecon.json
+++ /dev/null
@@ -1,169 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
-        "rs232device": "ESP32"
-      },
-      "axes": [
-        "X",
-        "Y",
-        "Z"
-      ],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_windows": "COM5",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 1,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "635 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": 2,
-        "filter_change": false,
-        "laser_despeckle_period": 10,
-        "laser_despeckle_amplitude": 0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1024
-    },
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "LED",
-        "filter_change": false,
-        "filter_axis": 3,
-        "filter_position": 32000,
-        "filter_position_init": -0
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 255
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "gxipycam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "uc2Config": {
-    "defaultConfig": "pindefWemos.json",
-    "defaultConfig2": "pindefUC2Standalon2.json",
-    "defaultConfig1": "pindefUC2Standalon.json"
-  },
-  "scan": {
-    "scanDesigner": "BetaScanDesigner",
-    "scanDesignerParams": {
-      "return_time": 0.01
-    },
-    "TTLCycleDesigner": "BetaTTLCycleDesigner",
-    "TTLCycleDesignerParams": {},
-    "sampleRate": 100000
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "sim": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "PixelCalibration": {},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "STORMRecon", 
-    "SIM"
-  ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_testhisto.json b/imcontrol_setups/example_uc2_testhisto.json
deleted file mode 100644
index c5860d2..0000000
--- a/imcontrol_setups/example_uc2_testhisto.json
+++ /dev/null
@@ -1,216 +0,0 @@
-{
-      "positioners":{
-         "ESP32Stage":{
-            "managerName":"ESP32StageManager",
-            "managerProperties":{
-               "rs232device":"ESP32"
-            },
-            "axes":[
-               "X",
-               "Y",
-               "Z"
-            ],
-            "forScanning":true,
-            "forPositioning":true
-         }
-      },
-      "rs232devices":{
-         "ESP32":{
-            "managerName":"ESP32Manager",
-            "managerProperties":{
-              "identity":"UC2_Feather",
-               "host_":"192.168.43.129",
-               "serialport_windows":"COM3",
-               "serialport":"/dev/cu.SLAB_USBtoUART"
-            }
-         },
-          "ESP32Cam":{
-             "managerName":"ESP32Manager",
-             "managerProperties":{
-               "identity":"UC2_Camera",
-                "serialport_windows":"COM3",
-                "serialport":"/dev/cu.SLAB_USBtoUART"
-             }
-          }
-      },
-      "lasers":{
-         "488 Laser":{
-            "analogChannel":null,
-            "digitalLine":null,
-            "managerName":"ESP32LEDLaserManager",
-            "managerProperties":{
-               "rs232device":"ESP32",
-               "channel_index":1,
-               "filter_change":true,
-               "filter_axis":0
-            },
-            "wavelength":488,
-            "valueRangeMin":0,
-            "valueRangeMax":32768
-         },
-         "635 Laser":{
-            "analogChannel":null,
-            "digitalLine":null,
-            "managerName":"ESP32LEDLaserManager",
-            "managerProperties":{
-               "rs232device":"ESP32",
-               "channel_index":2,
-               "filter_change":true,
-               "filter_axis":0
-            },
-            "wavelength":635,
-            "valueRangeMin":0,
-            "valueRangeMax":32768
-         },
-         "LED":{
-            "analogChannel":null,
-            "digitalLine":null,
-            "managerName":"ESP32LEDLaserManager",
-            "managerProperties":{
-               "rs232device":"ESP32",
-               "channel_index":"LED",
-               "filter_change":true,
-               "filter_axis":0
-            },
-            "wavelength":635,
-            "valueRangeMin":0,
-            "valueRangeMax":255
-         }
-      },
-        "autofocus": {
-          "camera": "WidefieldCamera",
-          "positioner": "ESP32Stage",
-          "updateFreq": 10,
-          "frameCropx": 780,
-          "frameCropy": 400,
-          "frameCropw": 500,
-          "frameCroph": 100
-        },
-      "mct": {
-         "monitorIdx": 2,
-         "width": 1080,
-         "height": 1920,
-         "wavelength": 0,
-         "pixelSize": 0,
-         "angleMount": 0,
-         "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-         "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-       },
-       "lasers": {
-         "488 Laser": {
-           "analogChannel": null,
-           "digitalLine": null,
-           "managerName": "ESP32LEDLaserManager",
-           "managerProperties": {
-               "rs232device": "ESP32",
-               "channel_index": 1,
-               "filter_change": false, 
-               "filter_axis": 3,
-               "filter_position": 32000,
-               "filter_position_init": -32000,
-               "laser_despeckle_period": 10,
-               "laser_despeckle_amplitude": 0.1
-           },
-           "wavelength": 488,
-           "valueRangeMin": 0,
-           "valueRangeMax": 32768
-       },
-       "635 Laser": {
-         "analogChannel": null,
-         "digitalLine": null,
-         "managerName": "ESP32LEDLaserManager",
-         "managerProperties": {
-             "rs232device": "ESP32",
-             "channel_index": 2,
-             "filter_change": false,
-             "filter_axis": 3,
-             "filter_position": 18000,
-             "filter_position_init": -0,
-             "laser_despeckle_period": 10,
-             "laser_despeckle_amplitude": 0.1
-         },
-         "wavelength": 635,
-         "valueRangeMin": 0,
-         "valueRangeMax": 32768
-       },
-       "LED": {
-         "analogChannel": null,
-         "digitalLine": null,
-         "managerName": "ESP32LEDLaserManager",
-         "managerProperties": {
-             "rs232device": "ESP32",
-             "channel_index": "LED",
-             "filter_change": false,
-             "filter_axis": 3,
-             "filter_position": 32000,
-             "filter_position_init": -0
-         },
-         "wavelength": 635,
-         "valueRangeMin": 0,
-         "valueRangeMax": 255
-       }
-       },       
-      "detectors":{
-         "WidefieldCamera":{
-            "analogChannel":null,
-            "digitalLine":null,
-            "managerName":"GXPIPYManager",
-            "managerProperties":{
-               "cameraListIndex":1,
-               "gxipycam":{
-                  "exposure":0,
-                  "gain":0,
-                  "blacklevel":100,
-                  "image_width":1000,
-                  "image_height":1000
-               }
-            },
-            "forAcquisition":true,
-            "forFocusLock":true
-         },
-        "PreviewCamera":{
-           "analogChannel":null,
-           "digitalLine":null,
-           "managerName":"ESP32SerialCamManager",
-           "managerProperties":{
-              "cameraListIndex":1,
-              "esp32cam":{
-                "rs232device":"ESP32Cam"
-              }
-           },
-           "forAcquisition":true,
-           "forFocusLock":true
-        }
-      },
-      "LEDMatrixs": {
-         "ESP32 LEDMatrix": {
-           "analogChannel": null,
-           "digitalLine": null,
-           "managerName": "ESP32LEDMatrixManager",
-           "managerProperties": {
-               "rs232device": "ESP32",
-               "Nx": 5,
-               "Ny": 5
-           },
-           "wavelength": 488,
-           "valueRangeMin": 0,
-           "valueRangeMax": 32768
-       }
-       },
-      "availableWidgets":[
-         "Settings",
-         "Image",
-         "View",
-         "HistoScan",
-         "Positioner",
-         "Laser",
-         "LEDMatrix",
-         "PixelCalibration",
-         "MCT",
-         "UC2Config",
-         "Autofocus",
-         "STORMRecon"
-      ],
-      "HistoScan":{},
-      "PixelCalibration":{}
-}
diff --git a/imcontrol_setups/example_uc2_thorcam.json b/imcontrol_setups/example_uc2_thorcam.json
deleted file mode 100644
index a0b8f8b..0000000
--- a/imcontrol_setups/example_uc2_thorcam.json
+++ /dev/null
@@ -1,74 +0,0 @@
-{
-  "positioners": {
-    "Stage": {
-        "managerName": "ESP32StageManager",
-        "managerProperties": {
-            "rs232device": "ESP32"
-        },
-        "axes": ["X", "Y", "Z"],
-        "forScanning": true,
-        "forPositioning": true
-    }
-},
-"rs232devices": {
-    "ESP32": {
-      "managerName": "ESP32Manager",
-      "managerProperties": {
-        "host_": "192.168.43.129",
-        "serialport_": "COM4",
-        "serialport":"/dev/cu.wchusbserial1440"
-      }
-    }
-  },
-"LEDMatrixs": {
-  "ESP32 LEDMatrix": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDMatrixManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "B",
-        "filter_change": true
-    },
-    "wavelength": 488,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-}
-},
-"detectors": {
-  "HoloCamera": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ThorcamManager",
-    "managerProperties": {
-      "cameraListIndex": 1,
-      "gxipycam": {
-        "exposure": 0,
-        "gain": 0,
-        "blacklevel": 100,
-        "image_width": 1000,
-        "image_height": 1000,
-        "binning": 2
-      }
-    },
-    "forAcquisition": true,
-    "forFocusLock": true
-  }
-},
-  "rois": {
-  "Full chip": {
-    "x": 600,
-    "y": 600,
-    "w": 1200,
-    "h": 1200
-  }
-},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Positioner",
-    "LEDMatrix"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_virtual_flowstop.json b/imcontrol_setups/example_uc2_virtual_flowstop.json
deleted file mode 100644
index 7bdc325..0000000
--- a/imcontrol_setups/example_uc2_virtual_flowstop.json
+++ /dev/null
@@ -1,130 +0,0 @@
-{
-  "positioners": {
-    "VirtualStage": {
-      "managerName": "VirtualStageManager",
-      "managerProperties": {
-        "rs232device": "VirtualMicroscope",
-        "isEnable": false,
-        "enableauto": true,
-        "stepsizeZ": 0.3125,
-        "stepsizeA": 0.3125,
-        "initialSpeed": { "X": 15000, "Y": 15000, "Z": 15000, "A": 15000 }
-      },
-      "axes": ["A", "X", "Y", "Z"],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "VirtualMicroscope": {
-      "managerName": "VirtualMicroscopeManager",
-      "managerProperties": {
-        "imagePath": ""
-      }
-    }
-  },
-  "LEDMatrixs": {
-    "ESP32 LEDMatrix": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDMatrixManager",
-      "managerProperties": {
-        "rs232device": "ESP32",
-        "Nx": 4,
-        "Ny": 4,
-        "wavelength": 488,
-        "valueRangeMin": 0,
-        "valueRangeMax": 32768
-      }
-    }
-  },
-  "lasers": {
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "VirtualLaserManager",
-      "managerProperties": {
-        "rs232device": "VirtualMicroscope",
-        "channel_index": 1
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "VirtualCameraManager",
-      "managerProperties": {
-        "isRGB": 0,
-        "cameraListIndex": 0,
-        "cameraEffPixelsize": 1,
-        "virtcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "autofocus": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 10,
-    "frameCropx": 780,
-    "frameCropy": 400,
-    "frameCropw": 500,
-    "frameCroph": 100
-  },
-  "mct": {
-    "monitorIdx": 2,
-    "width": 1080,
-    "height": 1920,
-    "wavelength": 0,
-    "pixelSize": 0,
-    "angleMount": 0,
-    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
-    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
-  },
-  "webrtc": {},
-  "PixelCalibration": {},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "UC2Config",
-    "Hypha",
-    "FlowStop"
-  ],
-  "nonAvailableWidgets": [
-    "UC2Config",
-    "LEDMatrix",
-    "Hypha",
-    "FlowStop",
-    "Hypha",
-    "FocusLock",
-    "HistoScan",
-    "STORMRecon",
-    "DPC",
-    "ImSwitchServer",
-    "PixelCalibration",
-    "FocusLock"
-  ]
-}
diff --git a/imcontrol_setups/example_uc2_wei_alliedvision.json b/imcontrol_setups/example_uc2_wei_alliedvision.json
deleted file mode 100644
index e2cc0c9..0000000
--- a/imcontrol_setups/example_uc2_wei_alliedvision.json
+++ /dev/null
@@ -1,133 +0,0 @@
-{
-    "positioners": {
-        "ESP32Stage": {
-            "managerName": "ESP32StageManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "isEnable": true,
-                "enableauto": false,
-                "stepsizeX": 11.7,
-                "stepsizeY": 11.7,
-                "stepsizeZ": 0.3125,
-                "homeSpeedX": 1000,
-                "homeSpeedY": 1000,
-                "homeSpeedZ": 1000,
-                "isDualaxis": true,
-                "homeDirectionX": 1,
-                "backlashXOld": 15,
-                "backlashYOld": 40,
-                "backlashX": 0,
-                "backlashY": 0,
-                "homeEndstoppolarityX": 0,
-                "homeEndstoppolarityY": 0,
-                "homeDirectionY": -1,
-                "homeDirectionZ": 0,
-                "homeXenabled": 1,
-                "homeYenabled": 1,
-                "homeZenabled": 0,
-                "initialSpeed": {
-                    "X": 1500,
-                    "Y": 1500,
-                    "Z": 1500
-                }
-            },
-            "axes": [
-                "X",
-                "Y",
-                "Z"
-            ],
-            "forScanning": true,
-            "forPositioning": true
-        }
-    },
-    "rs232devices": {
-        "ESP32": {
-            "managerName": "ESP32Manager",
-            "managerProperties": {
-                "host_": "192.168.43.129",
-                "serialport": "COM3"
-            }
-        }
-    },
-    "lasers": {
-        "LED": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDLaserManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "channel_index": "LED",
-                "filter_change": false,
-                "filter_axis": 3,
-                "filter_position": 32000,
-                "filter_position_init": -0
-            },
-            "wavelength": 635,
-            "valueRangeMin": 0,
-            "valueRangeMax": 255
-        }
-    },
-    "detectors": {
-        "WidefieldCamera": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "AVManager",
-            "managerProperties": {
-                "cameraListIndex": 1,
-                "avcam": {
-                    "exposure": 0,
-                    "gain": 0,
-                    "blacklevel": 100,
-                    "image_width": 1000,
-                    "image_height": 1000,
-                    "pixel_format": "Mono12"
-                }
-            },
-            "forAcquisition": true,
-            "forFocusLock": false
-        }
-    },
-    "rois": {
-        "Full chip": {
-            "x": 600,
-            "y": 600,
-            "w": 1200,
-            "h": 1200
-        }
-    },
-    "LEDMatrixs": {
-        "ESP32 LEDMatrix": {
-            "analogChannel": null,
-            "digitalLine": null,
-            "managerName": "ESP32LEDMatrixManager",
-            "managerProperties": {
-                "rs232device": "ESP32",
-                "Nx": 4,
-                "Ny": 4
-            },
-            "wavelength": 488,
-            "valueRangeMin": 0,
-            "valueRangeMax": 32768
-        }
-    },
-    "autofocus": {
-        "camera": "WidefieldCamera",
-        "positioner": "ESP32Stage",
-        "updateFreq": 10,
-        "frameCropx": 780,
-        "frameCropy": 400,
-        "frameCropw": 500,
-        "frameCroph": 100
-    },
-    "availableWidgets": [
-        "Settings",
-        "View",
-        "Recording",
-        "Image",
-        "Laser",
-        "Positioner",
-        "Autofocus",
-        "ROIScan", 
-        "Histoscan"
-    ]
-}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_xyz_only.json b/imcontrol_setups/example_uc2_xyz_only.json
deleted file mode 100644
index 5fbe5bc..0000000
--- a/imcontrol_setups/example_uc2_xyz_only.json
+++ /dev/null
@@ -1,99 +0,0 @@
-{
-    "positioners": {
-      "LightsheetStage": {
-          "managerName": "ESP32StageManager",
-          "managerProperties": {
-              "rs232device": "ESP32"
-          },
-          "axes": ["X", "Y", "Z"],
-          "forScanning": true,
-          "forPositioning": true
-      }
-  },
-  "rs232devices": {
-      "ESP32": {
-        "managerName": "ESP32Manager",
-        "managerProperties": {
-          "host_": "192.168.43.129",
-          "serialport_": "COM4",
-          "serialport":"/dev/cu.wchusbserial1440"
-        }
-      }
-    },
-  "lasers": {
-    "488 Laser": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32LEDLaserManager",
-      "managerProperties": {
-          "rs232device": "ESP32",
-          "channel_index": "B",
-          "filter_change": true
-      },
-      "wavelength": 488,
-      "valueRangeMin": 0,
-      "valueRangeMax": 32768
-  },
-  "635 Laser": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "R",
-        "filter_change": true
-    },
-    "wavelength": 635,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-  },
-  "LED": {
-    "analogChannel": null,
-    "digitalLine": null,
-    "managerName": "ESP32LEDLaserManager",
-    "managerProperties": {
-        "rs232device": "ESP32",
-        "channel_index": "W",
-        "filter_change": false
-    },
-    "wavelength": 635,
-    "valueRangeMin": 0,
-    "valueRangeMax": 32768
-  }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "gxipycam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image",
-      "Laser",
-      "Positioner",
-      "WellPlate"
-    ]
-  }
diff --git a/imcontrol_setups/example_virtual_microscope.json b/imcontrol_setups/example_virtual_microscope.json
deleted file mode 100644
index 30cc85f..0000000
--- a/imcontrol_setups/example_virtual_microscope.json
+++ /dev/null
@@ -1,118 +0,0 @@
-{
-  "positioners": {
-    "VirtualStage": {
-      "managerName": "VirtualStageManager",
-      "managerProperties": {
-        "rs232device": "VirtualMicroscope",
-        "isEnable": true,
-        "enableauto": false,
-        "isDualaxis": 0,
-        "stepsizeX": 1,
-        "stepsizeY": 1,
-        "stepsizeZ": 1,
-        "stepsizeA": 1,
-        "homeSpeedX": 15000,
-        "homeSpeedY": 15000,
-        "homeSpeedZ": 15000,
-        "homeSpeedA": 15000,
-        "homeDirectionX": 1,
-        "homeDirectionY": 1,
-        "homeDirectionZ": -1,
-        "initialSpeed": { "X": 15000, "Y": 15000, "Z": 15000, "A": 15000 }
-      },
-      "axes": ["X", "Y", "Z", "A"],
-      "forScanning": true,
-      "forPositioning": true
-    }
-  },
-  "rs232devices": {
-    "VirtualMicroscope": {
-      "managerName": "VirtualMicroscopeManager",
-      "managerProperties": {
-        "imagePath_":"simplant"
-      }
-    }
-  },
-  "lasers": {
-    "LED": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "VirtualLaserManager",
-      "managerProperties": {
-        "rs232device": "VirtualMicroscope",
-        "channel_index": 1
-      },
-      "wavelength": 635,
-      "valueRangeMin": 0,
-      "valueRangeMax": 1023
-    }
-  },
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "VirtualCameraManager",
-      "managerProperties": {
-        "isRGB": 0,
-        "cameraListIndex": 0,
-        "cameraEffPixelsize": 1,
-        "virtcam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true,
-      "forFocusLock": true
-    }
-  },
-  "rois": {
-    "Full chip": {
-      "x": 600,
-      "y": 600,
-      "w": 1200,
-      "h": 1200
-    }
-  },
-  "fovLock": {
-    "camera": "WidefieldCamera",
-    "positioner": "VirtualStage",
-    "updateFreq": 1,
-    "piKp": 1,
-    "piKi": 1
-  },
-  "PixelCalibration": {},
-  "availableWidgets": [
-    "Settings",
-    "View",
-    "Recording",
-    "Image",
-    "Laser",
-    "Positioner",
-    "Autofocus",
-    "MCT",
-    "ROIScan",
-    "HistoScan",
-    "Hypha"
-  ],
-  "nonAvailableWidgets": [
-    "FocusLock",
-    "SIM",
-        "imswitch_arkitekt",
-    "DPC",
-    "FOVLock",
-    "Temperature",
-    "HistoScan",
-    "PixelCalibration",
-    "Lightsheet",
-    "WebRTC",
-    "Flatfield",
-    "STORMRecon",
-    "DPC",
-    "ImSwitchServer",
-    "PixelCalibration",
-    "FocusLock"
-  ]
-}
diff --git a/imcontrol_setups/example_xiao.json b/imcontrol_setups/example_xiao.json
deleted file mode 100644
index d531c6b..0000000
--- a/imcontrol_setups/example_xiao.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "detectors": {
-    "WidefieldCamera": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "ESP32CamManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "cameraHost": "192.168.4.1",
-        "cameraPort": "80",
-        "esp32cam": {
-          "exposure": 0,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000
-        }
-      },
-      "forAcquisition": true
-    }
-  },
-    "rois": {
-      "Full chip": {
-        "x": 600,
-        "y": 600,
-        "w": 1200,
-        "h": 1200
-      }
-    },
-    "availableWidgets": [
-      "Settings",
-      "View",
-      "Recording",
-      "Image"
-    ]
-  }
\ No newline at end of file
diff --git a/imcontrol_setups/fovlock.json b/imcontrol_setups/fovlock.json
deleted file mode 100644
index 3bbfefb..0000000
--- a/imcontrol_setups/fovlock.json
+++ /dev/null
@@ -1,49 +0,0 @@
-  "fovLock": {
-    "camera": "WidefieldCamera",
-    "positioner": "ESP32Stage",
-    "updateFreq": 1,
-    "piKp": 1,
-    "piKi": 1
-  },
-
-  ,
-    "Observer": {
-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "OpenCVCamManager",
-      "managerProperties": {
-        "cameraListIndex": 1,
-        "cameraListIndexWIN": 0,
-        "opencvcam": {
-          "exposure": 0,
-          "isRGB": 1,
-          "gain": 0,
-          "blacklevel": 100,
-          "image_width": 1000,
-          "image_height": 1000,
-          "pixel_format": "Mono12"
-        }
-      },
-      "forAcquisition": true
-    }
-
-    "detectors": {
-      "WidefieldCamera": {
-        "analogChannel": null,
-        "digitalLine": null,
-        "managerName": "HikCamManager",
-        "managerProperties": {
-          "isRGB": 1,
-          "cameraListIndex": 0,
-          "cameraEffPixelsize": 0.2257,
-          "hikcam": {
-            "exposure": 0,
-            "gain": 0,
-            "blacklevel": 100,
-            "image_width": 1000,
-            "image_height": 1000
-          }
-        },
-        "forAcquisition": true,
-        "forFocusLock": true
-      }
\ No newline at end of file
diff --git a/imcontrol_setups/nvidia_jetson.json b/imcontrol_setups/nvidia_jetson.json
deleted file mode 100644
index 9c86f1f..0000000
--- a/imcontrol_setups/nvidia_jetson.json
+++ /dev/null
@@ -1,102 +0,0 @@
-{
-  "positioners": {
-    "ESP32Stage": {
-      "managerName": "ESP32StageManager",
-      "managerProperties": {
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-    }
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-      "managerProperties": {
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-        "serialport_windows": "COM5",
-        "serialport": "/dev/cu./dev/cu.SLAB_USBtoUART"
-      }
-    }
-  },
-  "detectors": {
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-      "analogChannel": null,
-      "digitalLine": null,
-      "managerName": "GXPIPYManager",
-      "managerProperties": {
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-        "gxipycam": {
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-    "frameCropw": 500,
-    "frameCroph": 100
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-    "defaultConfig1": "pindefUC2Standalon.json"
-  },
-  "jetsonnano":{},
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-  "availableWidgets": [
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-    "JetsonNano"
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-    "Autofocus",
-    "Scan",
-    "MCT",
-    "UC2Config",
-    "ImSwitchServer",
-    "STORMRecon",
-    "PixelCalibration"
-  ]
-}
diff --git a/imcontrol_sim/.DS_Store b/imcontrol_sim/.DS_Store
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diff --git a/imcontrol_sim/488/SIM_ (1).bmp b/imcontrol_sim/488/SIM_ (1).bmp
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diff --git a/imcontrol_sim/488/SIM_ (10).bmp b/imcontrol_sim/488/SIM_ (10).bmp
deleted file mode 100644
index 6128fdb09b4c3766d6268f7edf3e5e863a3f3a26..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/imcontrol_sim/488/SIM_ (2).bmp b/imcontrol_sim/488/SIM_ (2).bmp
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diff --git a/imcontrol_sim/488/SIM_ (4).bmp b/imcontrol_sim/488/SIM_ (4).bmp
deleted file mode 100644
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diff --git a/imcontrol_sim/488/SIM_ (5).bmp b/imcontrol_sim/488/SIM_ (5).bmp
deleted file mode 100644
index 9bda83e9a81e49f5d73141cf7349bd798c74d971..0000000000000000000000000000000000000000
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diff --git a/imcontrol_sim/488/SIM_ (6).bmp b/imcontrol_sim/488/SIM_ (6).bmp
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diff --git a/imcontrol_sim/488/SIM_ (7).bmp b/imcontrol_sim/488/SIM_ (7).bmp
deleted file mode 100644
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diff --git a/imcontrol_sim/488/SIM_ (8).bmp b/imcontrol_sim/488/SIM_ (8).bmp
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diff --git a/imcontrol_sim/488/SIM_ (9).bmp b/imcontrol_sim/488/SIM_ (9).bmp
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diff --git a/imcontrol_sim/635/SLM_1,40_1,80_33_wl635_ang0_pha0.bmp b/imcontrol_sim/635/SLM_1,40_1,80_33_wl635_ang0_pha0.bmp
deleted file mode 100644
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literal 0
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diff --git a/imcontrol_slm/.DS_Store b/imcontrol_slm/.DS_Store
deleted file mode 100644
index 5008ddfcf53c02e82d7eee2e57c38e5672ef89f6..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/imcontrol_slm/info_glyc.json b/imcontrol_slm/info_glyc.json
deleted file mode 100644
index 682c402..0000000
--- a/imcontrol_slm/info_glyc.json
+++ /dev/null
@@ -1,39 +0,0 @@
-{
-    "general": {
-        "radius": 80.0,
-        "sigma": 65.0,
-        "rotationAngle": 0.0
-    },
-    "position": {
-        "left": {
-            "xcenter": 268,
-            "ycenter": 244
-        },
-        "right": {
-            "xcenter": 224,
-            "ycenter": 236
-        }
-    },
-    "aber": {
-        "left": {
-            "tilt": 0.5,
-            "tip": 0.2,
-            "defocus": 0.3,
-            "spherical": 0.2,
-            "verticalComa": 0.1,
-            "horizontalComa": -0.15,
-            "verticalAstigmatism": 0.0,
-            "obliqueAstigmatism": 0.0
-        },
-        "right": {
-            "tilt": 0.0,
-            "tip": 0.0,
-            "defocus": 0.1,
-            "spherical": 0.2,
-            "verticalComa": 0.1,
-            "horizontalComa": 0.0,
-            "verticalAstigmatism": -0.2,
-            "obliqueAstigmatism": 0.1
-        }
-    }
-}
\ No newline at end of file
diff --git a/imcontrol_slm/info_oil.json b/imcontrol_slm/info_oil.json
deleted file mode 100644
index f71050a..0000000
--- a/imcontrol_slm/info_oil.json
+++ /dev/null
@@ -1,39 +0,0 @@
-{
-    "general": {
-        "radius": 100.0,
-        "sigma": 65.0,
-        "rotationAngle": 0.0
-    },
-    "position": {
-        "left": {
-            "xcenter": 200,
-            "ycenter": 200
-        },
-        "right": {
-            "xcenter": 200,
-            "ycenter": 200
-        }
-    },
-    "aber": {
-        "left": {
-            "tilt": 0.0,
-            "tip": 0.0,
-            "defocus": 0.0,
-            "spherical": 0.0,
-            "verticalComa": 0.0,
-            "horizontalComa": 0.0,
-            "verticalAstigmatism": 0.0,
-            "obliqueAstigmatism": 0.0
-        },
-        "right": {
-            "tilt": 0.0,
-            "tip": 0.0,
-            "defocus": 0.0,
-            "spherical": 0.0,
-            "verticalComa": 0.0,
-            "horizontalComa": 0.0,
-            "verticalAstigmatism": 0.0,
-            "obliqueAstigmatism": 0.0
-        }
-    }
-}
\ No newline at end of file
diff --git a/imnotebook/.ipynb_checkpoints/StageCalibration-checkpoint.ipynb b/imnotebook/.ipynb_checkpoints/StageCalibration-checkpoint.ipynb
deleted file mode 100644
index f66ead9..0000000
--- a/imnotebook/.ipynb_checkpoints/StageCalibration-checkpoint.ipynb
+++ /dev/null
@@ -1,394 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d904bcd2-d4e1-4fd3-8cdb-e31244918276",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install imswitchclient\n",
-    "import imswitchclient.ImSwitchClient as imc \n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import time\n",
-    "import cv2\n",
-    "from skimage.registration import phase_cross_correlation\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "537fe71e-541c-4fa5-bc62-395a46235db6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.30524706840515137\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.2861959934234619\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.30700087547302246\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.39849400520324707\n",
-      "0.2807769775390625\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "# Initialize the client\n",
-    "client = imc.ImSwitchClient()\n",
-    "\n",
-    "# Retrieve the first positioner's name and current position\n",
-    "positioner_names = client.positionersManager.getAllDeviceNames()\n",
-    "positioner_name = positioner_names[0]\n",
-    "currentPositions = client.positionersManager.getPositionerPositions()[positioner_name]\n",
-    "initialPosition = (currentPositions[\"X\"], currentPositions[\"Y\"])\n",
-    "\n",
-    "# turn on illumination\n",
-    "mLaserName = client.lasersManager.getLaserNames()[0]\n",
-    "client.lasersManager.setLaserActive(mLaserName, True)\n",
-    "client.lasersManager.setLaserValue(mLaserName, 1023)\n",
-    "\n",
-    "positionList = [(0,0,0), \n",
-    "                (0,200, 0),\n",
-    "                (0,0,0), \n",
-    "                (100,0,0),\n",
-    "                (0,0,0)]\n",
-    "\n",
-    "                \n",
-    "mStack = []\n",
-    "mPositions = []\n",
-    "#for ix in range(10):\n",
-    "#    for iy in range(10):\n",
-    "for iIndex, iPosition in enumerate(positionList):\n",
-    "        mTime = time.time()\n",
-    "        # Define and move to a new position\n",
-    "        newPosition = (initialPosition[0] + iPosition[0], initialPosition[1] + iPosition[1])\n",
-    "        client.positionersManager.movePositioner(positioner_name, \"X\", newPosition[0], is_absolute=True, is_blocking=True)\n",
-    "        client.positionersManager.movePositioner(positioner_name, \"Y\", newPosition[1], is_absolute=True, is_blocking=True)\n",
-    "        \n",
-    "        # Acquire and display an image\n",
-    "        #time.sleep(2)  # Allow time for the move\n",
-    "        lastFrame = client.recordingManager.snapNumpyToFastAPI()\n",
-    "        mStack.append(lastFrame)\n",
-    "        currentPositions = client.positionersManager.getPositionerPositions()[positioner_name]\n",
-    "        currentPositionsXY = (currentPositions[\"X\"], currentPositions[\"Y\"])\n",
-    "        mPositions.append(currentPositionsXY)\n",
-    "        if 0:\n",
-    "            plt.imshow(lastFrame)\n",
-    "            plt.show()\n",
-    "        print(time.time()-mTime)\n",
-    "# Return the positioner to its initial position\n",
-    "client.positionersManager.movePositioner(positioner_name, \"X\", initialPosition[0], is_absolute=True, is_blocking=True)\n",
-    "client.positionersManager.movePositioner(positioner_name, \"Y\", initialPosition[1], is_absolute=True, is_blocking=True)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "e8d0eba2-228e-4e7e-aa5c-087d61bede6e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Image layer 'Image' at 0x12227a7c0>"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import napari\n",
-    "mViewer = napari.Viewer()\n",
-    "mViewer.add_image(np.array(mStack))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cff024d9-3cec-4b57-be44-8908ab6282fe",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f6377334-dd57-495b-a765-94012af8aef7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "7d44027d-d37d-454a-851e-d962a910f944",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# we assume we have a structured sample in focus\n",
-    "# the sample is moved around and the deltas are measured\n",
-    "# everything has to be inside a thread\n",
-    "# process the slices and compute their relative distances in pixels\n",
-    "# compute shift between images relative to zeroth image\n",
-    "allShiftsComputed = []\n",
-    "rescalingFac = 1 # in case the images are too big we should scale them down! \n",
-    "for iImage in range(len(mStack)):\n",
-    "    image1 = mStack[0]# cv2.cvtColor(mStack[0], cv2.COLOR_BGR2GRAY)\n",
-    "    image2 = mStack[iImage] #cv2.cvtColor(mStack[iImage], cv2.COLOR_BGR2GRAY)\n",
-    "    \n",
-    "    # downscaling will reduce accuracy, but will speed up computation\n",
-    "    image1 = cv2.resize(image1, dsize=None, dst=None, fx=1/rescalingFac, fy=1/rescalingFac)\n",
-    "    image2 = cv2.resize(image2, dsize=None, dst=None, fx=1/rescalingFac, fy=1/rescalingFac)\n",
-    "\n",
-    "    # produces coordinates that can be used to align two imags with the shift function, axis = y,x and image2 on image1\n",
-    "    shift, error, diffphase = phase_cross_correlation(image2, image1)\n",
-    "    shift *=rescalingFac\n",
-    "    allShiftsComputed.append((shift[1],shift[0]))\n",
-    "\n",
-    "import matplotlib.pyplot as plt \n",
-    "# computed positions\n",
-    "x, y = np.array(allShiftsComputed).T\n",
-    "plt.plot(x,y, 'r')\n",
-    "# positions sent to the microscope\n",
-    "xm, ym, z = np.array(positionList).T\n",
-    "plt.plot(xm,ym, 'b')\n",
-    "plt.legend((\"computed\", \"real\"))\n",
-    "\n",
-    "plt.show()\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "4a08985b-73c7-44ec-8ac7-fe6e563ce8b7",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'xyScanStepsAbsolute' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[28], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# compute averrage shifts according to scan grid \u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m# compare measured shift with shift given by the array of random coordinats\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m allShiftsPlanned \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(\u001b[43mxyScanStepsAbsolute\u001b[49m)\n\u001b[1;32m      4\u001b[0m allShiftsPlanned \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmin(allShiftsPlanned,\u001b[38;5;241m0\u001b[39m)\n\u001b[1;32m      5\u001b[0m allShiftsComputed \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(allShiftsComputed)\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'xyScanStepsAbsolute' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "# random code \n",
-    "\n",
-    "\n",
-    "\n",
-    "s\n",
-    "# compute averrage shifts according to scan grid \n",
-    "# compare measured shift with shift given by the array of random coordinats\n",
-    "allShiftsPlanned = np.array(xyScanStepsAbsolute)\n",
-    "allShiftsPlanned -= np.min(allShiftsPlanned,0)\n",
-    "allShiftsComputed = np.array(allShiftsComputed)\n",
-    "\n",
-    "# compute differencs\n",
-    "nShiftX = (self.xScanMax-self.xScanMin)//self.xScanStep\n",
-    "nShiftY = (self.yScanMax-self.yScanMin)//self.yScanStep\n",
-    "\n",
-    "# determine the axis and swap if necessary (e.g. swap axis (y,x))\n",
-    "dReal = np.abs(allShiftsPlanned-np.roll(allShiftsPlanned,-1,0))\n",
-    "dMeasured = np.abs(allShiftsComputed-np.roll(allShiftsComputed,-1,0))\n",
-    "xAxisReal = np.argmin(np.mean(dReal,0))\n",
-    "xAxisMeasured = np.argmin(np.mean(dMeasured,0))\n",
-    "if xAxisReal != xAxisMeasured:\n",
-    "    xAxisMeasured = np.transposes(xAxisMeasured, (1,0))\n",
-    "\n",
-    "# stepsize => real motion / stepsize \n",
-    "stepSizeStage = (dMeasured*self.pixelSize)/dReal\n",
-    "stepSizeStage[stepSizeStage == np.inf] = 0\n",
-    "stepSizeStage = np.nan_to_num(stepSizeStage, nan=0.)\n",
-    "stepSizeStage = stepSizeStage[np.where(stepSizeStage>0)]\n",
-    "stepSizeStageDim = np.mean(stepSizeStage)\n",
-    "stepSizeStageVar = np.var(stepSizeStage)\n",
-    "\n",
-    "self._logger.debug(\"Stage pixel size: \"+str(stepSizeStageDim)+\"nm/step\")\n",
-    "self._widget.setInformationLabel(\"Stage pixel size: \"+str(stepSizeStageDim)+\" nm/step\")\n",
-    "\n",
-    "# Set in setup info\n",
-    "name=\"test\"\n",
-    "self._setupInfo.setPositionerPreset(name, self.makePreset())\n",
-    "configfiletools.saveSetupInfo(configfiletools.loadOptions()[0], self._setupInfo)\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "80cb7873-24f0-41ca-9a89-c7ac075f0eaa",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[(0, 0, 0), (0, 100, 0), (0, 0, 0), (100, 0, 0), (0, 0, 0)]"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "positionList"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "66e04de8-746b-4a06-a5e4-0eac04cda6cf",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.18"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/imnotebook/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/imnotebook/.ipynb_checkpoints/Untitled-checkpoint.ipynb
deleted file mode 100644
index 363fcab..0000000
--- a/imnotebook/.ipynb_checkpoints/Untitled-checkpoint.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/imnotebook/StageCalibration.ipynb b/imnotebook/StageCalibration.ipynb
deleted file mode 100644
index 7896f1d..0000000
--- a/imnotebook/StageCalibration.ipynb
+++ /dev/null
@@ -1,301 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "d904bcd2-d4e1-4fd3-8cdb-e31244918276",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#!pip install imswitchclient\n",
-    "import imswitchclient.ImSwitchClient as imc \n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import time\n",
-    "import cv2\n",
-    "from skimage.registration import phase_cross_correlation\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "537fe71e-541c-4fa5-bc62-395a46235db6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n",
-      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "# Initialize the client\n",
-    "client = imc.ImSwitchClient()\n",
-    "\n",
-    "# Retrieve the first positioner's name and current position\n",
-    "positioner_names = client.positionersManager.getAllDeviceNames()\n",
-    "positioner_name = positioner_names[0]\n",
-    "currentPositions = client.positionersManager.getPositionerPositions()[positioner_name]\n",
-    "initialPosition = (currentPositions[\"X\"], currentPositions[\"Y\"])\n",
-    "\n",
-    "# turn on illumination\n",
-    "mLaserName = client.lasersManager.getLaserNames()[0]\n",
-    "client.lasersManager.setLaserActive(mLaserName, True)\n",
-    "client.lasersManager.setLaserValue(mLaserName, 1023)\n",
-    "\n",
-    "positionList = [(0,0,0), \n",
-    "                (0,200, 0),\n",
-    "                (0,0,0), \n",
-    "                (100,0,0),\n",
-    "                (0,0,0)]\n",
-    "\n",
-    "                \n",
-    "mStack = []\n",
-    "mPositions = []\n",
-    "#for ix in range(10):\n",
-    "#    for iy in range(10):\n",
-    "for iIndex, iPosition in enumerate(positionList):\n",
-    "        mTime = time.time()\n",
-    "        # Define and move to a new position\n",
-    "        newPosition = (initialPosition[0] + iPosition[0], initialPosition[1] + iPosition[1])\n",
-    "        client.positionersManager.movePositioner(positioner_name, \"X\", newPosition[0], is_absolute=True, is_blocking=True)\n",
-    "        client.positionersManager.movePositioner(positioner_name, \"Y\", newPosition[1], is_absolute=True, is_blocking=True)\n",
-    "        \n",
-    "        # Acquire and display an image\n",
-    "        #time.sleep(2)  # Allow time for the move\n",
-    "        lastFrame = client.recordingManager.snapNumpyToFastAPI()\n",
-    "        mStack.append(lastFrame)\n",
-    "        currentPositions = client.positionersManager.getPositionerPositions()[positioner_name]\n",
-    "        currentPositionsXY = (currentPositions[\"X\"], currentPositions[\"Y\"])\n",
-    "        mPositions.append(currentPositionsXY)\n",
-    "        if 1:\n",
-    "            plt.imshow(lastFrame)\n",
-    "            plt.show()\n",
-    "        print(time.time()-mTime)\n",
-    "# Return the positioner to its initial position\n",
-    "client.positionersManager.movePositioner(positioner_name, \"X\", initialPosition[0], is_absolute=True, is_blocking=True)\n",
-    "client.positionersManager.movePositioner(positioner_name, \"Y\", initialPosition[1], is_absolute=True, is_blocking=True)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "e8d0eba2-228e-4e7e-aa5c-087d61bede6e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Image layer 'Image' at 0x12227a7c0>"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import napari\n",
-    "mViewer = napari.Viewer()\n",
-    "mViewer.add_image(np.array(mStack))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cff024d9-3cec-4b57-be44-8908ab6282fe",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f6377334-dd57-495b-a765-94012af8aef7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "7d44027d-d37d-454a-851e-d962a910f944",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# we assume we have a structured sample in focus\n",
-    "# the sample is moved around and the deltas are measured\n",
-    "# everything has to be inside a thread\n",
-    "# process the slices and compute their relative distances in pixels\n",
-    "# compute shift between images relative to zeroth image\n",
-    "allShiftsComputed = []\n",
-    "rescalingFac = 1 # in case the images are too big we should scale them down! \n",
-    "for iImage in range(len(mStack)):\n",
-    "    image1 = mStack[0]# cv2.cvtColor(mStack[0], cv2.COLOR_BGR2GRAY)\n",
-    "    image2 = mStack[iImage] #cv2.cvtColor(mStack[iImage], cv2.COLOR_BGR2GRAY)\n",
-    "    \n",
-    "    # downscaling will reduce accuracy, but will speed up computation\n",
-    "    image1 = cv2.resize(image1, dsize=None, dst=None, fx=1/rescalingFac, fy=1/rescalingFac)\n",
-    "    image2 = cv2.resize(image2, dsize=None, dst=None, fx=1/rescalingFac, fy=1/rescalingFac)\n",
-    "\n",
-    "    # produces coordinates that can be used to align two imags with the shift function, axis = y,x and image2 on image1\n",
-    "    shift, error, diffphase = phase_cross_correlation(image2, image1)\n",
-    "    shift *=rescalingFac\n",
-    "    allShiftsComputed.append((shift[1],shift[0]))\n",
-    "\n",
-    "import matplotlib.pyplot as plt \n",
-    "# computed positions\n",
-    "x, y = np.array(allShiftsComputed).T\n",
-    "plt.plot(x,y, 'r')\n",
-    "# positions sent to the microscope\n",
-    "xm, ym, z = np.array(positionList).T\n",
-    "plt.plot(xm,ym, 'b')\n",
-    "plt.legend((\"computed\", \"real\"))\n",
-    "\n",
-    "plt.show()\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "4a08985b-73c7-44ec-8ac7-fe6e563ce8b7",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'xyScanStepsAbsolute' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[28], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# compute averrage shifts according to scan grid \u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m# compare measured shift with shift given by the array of random coordinats\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m allShiftsPlanned \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(\u001b[43mxyScanStepsAbsolute\u001b[49m)\n\u001b[1;32m      4\u001b[0m allShiftsPlanned \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmin(allShiftsPlanned,\u001b[38;5;241m0\u001b[39m)\n\u001b[1;32m      5\u001b[0m allShiftsComputed \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(allShiftsComputed)\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'xyScanStepsAbsolute' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "# random code \n",
-    "\n",
-    "\n",
-    "\n",
-    "s\n",
-    "# compute averrage shifts according to scan grid \n",
-    "# compare measured shift with shift given by the array of random coordinats\n",
-    "allShiftsPlanned = np.array(xyScanStepsAbsolute)\n",
-    "allShiftsPlanned -= np.min(allShiftsPlanned,0)\n",
-    "allShiftsComputed = np.array(allShiftsComputed)\n",
-    "\n",
-    "# compute differencs\n",
-    "nShiftX = (self.xScanMax-self.xScanMin)//self.xScanStep\n",
-    "nShiftY = (self.yScanMax-self.yScanMin)//self.yScanStep\n",
-    "\n",
-    "# determine the axis and swap if necessary (e.g. swap axis (y,x))\n",
-    "dReal = np.abs(allShiftsPlanned-np.roll(allShiftsPlanned,-1,0))\n",
-    "dMeasured = np.abs(allShiftsComputed-np.roll(allShiftsComputed,-1,0))\n",
-    "xAxisReal = np.argmin(np.mean(dReal,0))\n",
-    "xAxisMeasured = np.argmin(np.mean(dMeasured,0))\n",
-    "if xAxisReal != xAxisMeasured:\n",
-    "    xAxisMeasured = np.transposes(xAxisMeasured, (1,0))\n",
-    "\n",
-    "# stepsize => real motion / stepsize \n",
-    "stepSizeStage = (dMeasured*self.pixelSize)/dReal\n",
-    "stepSizeStage[stepSizeStage == np.inf] = 0\n",
-    "stepSizeStage = np.nan_to_num(stepSizeStage, nan=0.)\n",
-    "stepSizeStage = stepSizeStage[np.where(stepSizeStage>0)]\n",
-    "stepSizeStageDim = np.mean(stepSizeStage)\n",
-    "stepSizeStageVar = np.var(stepSizeStage)\n",
-    "\n",
-    "self._logger.debug(\"Stage pixel size: \"+str(stepSizeStageDim)+\"nm/step\")\n",
-    "self._widget.setInformationLabel(\"Stage pixel size: \"+str(stepSizeStageDim)+\" nm/step\")\n",
-    "\n",
-    "# Set in setup info\n",
-    "name=\"test\"\n",
-    "self._setupInfo.setPositionerPreset(name, self.makePreset())\n",
-    "configfiletools.saveSetupInfo(configfiletools.loadOptions()[0], self._setupInfo)\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "80cb7873-24f0-41ca-9a89-c7ac075f0eaa",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[(0, 0, 0), (0, 100, 0), (0, 0, 0), (100, 0, 0), (0, 0, 0)]"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "positionList"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "66e04de8-746b-4a06-a5e4-0eac04cda6cf",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.18"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/imnotebook/Untitled.ipynb b/imnotebook/Untitled.ipynb
deleted file mode 100644
index 2219f6d..0000000
--- a/imnotebook/Untitled.ipynb
+++ /dev/null
@@ -1,83 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "619efcb0-86e3-4996-a059-ddc31f9fc1a9",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "pickling is disabled",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[1], line 14\u001b[0m\n\u001b[1;32m     10\u001b[0m conn\u001b[38;5;241m.\u001b[39mroot\u001b[38;5;241m.\u001b[39msetLiveViewActive(\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m     11\u001b[0m mImage \u001b[38;5;241m=\u001b[39m conn\u001b[38;5;241m.\u001b[39mroot\u001b[38;5;241m.\u001b[39msnapImage(\u001b[38;5;28;01mTrue\u001b[39;00m, \u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m---> 14\u001b[0m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmImage\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     15\u001b[0m \u001b[38;5;66;03m#plt.imshow(mImage)\u001b[39;00m\n\u001b[1;32m     16\u001b[0m \u001b[38;5;66;03m#plt.show()\u001b[39;00m\n",
-      "File \u001b[0;32m~/mambaforge/envs/imswitch/lib/python3.9/site-packages/rpyc/core/netref.py:256\u001b[0m, in \u001b[0;36m_make_method.<locals>.__array__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    251\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    252\u001b[0m     \u001b[38;5;66;03m# Note that protocol=-1 will only work between python\u001b[39;00m\n\u001b[1;32m    253\u001b[0m     \u001b[38;5;66;03m# interpreters of the same version.\u001b[39;00m\n\u001b[1;32m    254\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mobject\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__getattribute__\u001b[39m(\u001b[38;5;28mself\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m____conn__\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39m_config[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mallow_pickle\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n\u001b[1;32m    255\u001b[0m         \u001b[38;5;66;03m# Security check that server side allows pickling per #551\u001b[39;00m\n\u001b[0;32m--> 256\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpickling is disabled\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    257\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m pickle\u001b[38;5;241m.\u001b[39mloads(syncreq(\u001b[38;5;28mself\u001b[39m, consts\u001b[38;5;241m.\u001b[39mHANDLE_PICKLE, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n",
-      "\u001b[0;31mValueError\u001b[0m: pickling is disabled"
-     ]
-    }
-   ],
-   "source": [
-    "import rpyc\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt \n",
-    "\n",
-    "# Connect to the RPyC server\n",
-    "conn = rpyc.utils.factory.unix_connect('/tmp/rpycsession')\n",
-    "\n",
-    "conn.root.setLaserActive(\"LED\", True)\n",
-    "conn.root.setLaserValue(\"LED\", 1023)\n",
-    "conn.root.setLiveViewActive(True)\n",
-    "mImage = conn.root.snapImage(True, False)\n",
-    "\n",
-    "\n",
-    "np.array(mImage)\n",
-    "#plt.imshow(mImage)\n",
-    "#plt.show()\n",
-    "\n",
-    "    \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "5ceba429-45f7-4319-bd3a-7abda4692236",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "conn.close()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "27d62e3c-ed7e-4dfe-9b66-88a6d131bc35",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.18"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/pixelcalibration_uc2.json b/pixelcalibration_uc2.json
deleted file mode 100644
index d69b729..0000000
--- a/pixelcalibration_uc2.json
+++ /dev/null
@@ -1,1716 +0,0 @@
-{
-    "camera_stage_mapping_calibration": {
-        "backlash": 29.966163694558755,
-        "backlash_vector": [
-            22.474622770919066,
-            29.966163694558755,
-            0.0
-        ],
-        "image_to_stage_displacement": [
-            [
-                -0.002671736209604935,
-                0.24162329279348718
-            ],
-            [
-                -0.24860110340865188,
-                -0.0012814896954186138
-            ]
-        ]
-    },
-    "linear_calibration_x": {
-        "backlash": 22.474622770919066,
-        "backlash_corrected_moves": [
-            [
-                [
-                    385.9375,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    336.875,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    287.8125,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    237.8125,
-                    1040.0,
-                    0.0
-                ]
-            ],
-            [
-                [
-                    -7.537162605831941,
-                    -796.1582329767318
-                ],
-                [
-                    -8.853185122885094,
-                    -636.307377307635
-                ],
-                [
-                    -8.531353041160045,
-                    -431.1384292140825
-                ],
-                [
-                    -7.970992292702793,
-                    -227.33603997064645
-                ]
-            ],
-            [
-                1698928550.6165617,
-                1698928554.4793906,
-                1698928558.2474473,
-                1698928562.2640834
-            ]
-        ],
-        "exponential_moves": [
-            [
-                [
-                    195.0,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    195.9375,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    196.875,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    198.75,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    202.8125,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    210.9375,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    226.875,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    258.75,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    257.8125,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    290.0,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    321.875,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    353.75,
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-                    0.0
-                ],
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-            [
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-                    -65.02027534086167
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-                [
-                    -1.618019508877313,
-                    -129.0008561452924
-                ],
-                [
-                    -1.8198557594490763,
-                    -257.4418768842836
-                ],
-                [
-                    -1.512645614253696,
-                    -259.1990648402056
-                ],
-                [
-                    -1.5492791276523035,
-                    -385.8003033490346
-                ],
-                [
-                    -2.181872295898754,
-                    -520.5898119597445
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-                [
-                    -2.6697568380214,
-                    -654.0558881023162
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-                    -3.2818933177989504,
-                    -790.5166376707491
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-                1698928475.1504552,
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-                1698928484.8398063,
-                1698928487.8750024,
-                1698928491.2590778,
-                1698928494.5995753
-            ]
-        ],
-        "fractional_error": 0.022249085017457735,
-        "image_direction": [
-            -0.005303593281674739,
-            -0.9999859358502511
-        ],
-        "linear_moves": [
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-                    385.9375,
-                    1040.0,
-                    0.0
-                ],
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-                    336.875,
-                    1040.0,
-                    0.0
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-                [
-                    287.8125,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    238.75,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    190.0,
-                    1040.0,
-                    0.0
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-                    140.9375,
-                    1040.0,
-                    0.0
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-                [
-                    91.875,
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-                    0.0
-                ],
-                [
-                    42.8125,
-                    1040.0,
-                    0.0
-                ],
-                [
-                    -3.75,
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-                    0.0
-                ],
-                [
-                    -52.8125,
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-                    0.0
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-                    -52.8125,
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-                    0.0
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-                [
-                    288.75,
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-                    0.0
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-                [
-                    337.8125,
-                    1040.0,
-                    0.0
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-                    385.9375,
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-                    0.0
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-                [
-                    -3.295419226318298,
-                    -791.1360210354816
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-                [
-                    -3.896185161998527,
-                    -752.569273467665
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-                    -553.5815872214711
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-                    -4.016053670385646,
-                    -343.58187427333837
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-                [
-                    -3.1587010310769377,
-                    -136.89463681781118
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-                    -0.780258012572208,
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-                    804.790902223012
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-                    2.590080266978653,
-                    805.1946744808129
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-                [
-                    2.6719793579187945,
-                    762.1056589654492
-                ],
-                [
-                    2.2965998924390827,
-                    595.8497755033849
-                ],
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-                    1.805556822959156,
-                    409.74281192606657
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-                    1.0181425926911065,
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-                    -0.6603875960272788,
-                    21.741260776238004
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-                    -4.173346483703993,
-                    -382.2298992414978
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-                    -5.875398407695246,
-                    -591.2067564972788
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-                    -795.7314019356427
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-            [
-                1698928497.1231136,
-                1698928500.018233,
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diff --git a/scripts/AshlarSnapAndStitch.py b/scripts/AshlarSnapAndStitch.py
deleted file mode 100644
index c6b0927..0000000
--- a/scripts/AshlarSnapAndStitch.py
+++ /dev/null
@@ -1,114 +0,0 @@
-# install the library ( we use the modified version from openuc2 that also enables the use of casehd numpy arrays)
-# do: python -m pip install https://github.com/openuc2/ashlar
-
-# importing necessary libraries
-mainWindow.setCurrentModule('imcontrol')
-import numpy as np
-import time
-import threading
-import os
-import tifffile
-import re
-from ashlar.scripts import ashlar
-from ashlar.scripts.ashlar import process_images
-from pathlib import Path
-
-# Calculate the image size and the overlap of the images based on pixel size and resolution.
-mPixelSize = 1.0  # micron - use a calibration chart to get this right!
-input_dir = "./mScanImages"
-output_dir = "./mStitchedImage"
-input_name = "TmpTileFile.ome.tif"
-output_name = "ResultingStitchedImage.ome.tif"
-initialPosX = 0
-initialPosY = 0
-maximum_shift_microns = 1000
-Nx = 5
-Ny = 5
-# please try changing these two values to make it match!
-flip_x=True
-flip_y=False
-
-# create the folders and names
-Path(input_dir).mkdir(parents=True, exist_ok=True)
-Path(output_dir).mkdir(parents=True, exist_ok=True)
-ashlar_output_file = os.path.join(output_dir, output_name)
-ashlar_input_file = os.path.join(input_dir, input_name)
-
-mFrameShape = api.imcontrol.snapImage(True, False).shape
-xDim = mFrameShape[1] * mPixelSize
-yDim = mFrameShape[0] * mPixelSize
-mOverlap = 0.8  # 90% overlap at the edges
-
-# Set the motor control to 0 and define the motor speeds for the X, Y, and Z axes.
-positionerName = api.imcontrol.getPositionerNames()[0]
-api.imcontrol.setPositionerSpeed(positionerName, "X", 20000)
-api.imcontrol.setPositionerSpeed(positionerName, "Y", 20000)
-api.imcontrol.setPositionerSpeed(positionerName, "Z", 2000)
-
-## Capture images in a 2x3 grid pattern. The stage moves to the start position and captures images at each step. Each image is saved with coordinates as the filename.
-iiter = 0
-
-USE_OME = False
-if USE_OME:# on MAC ARM M1 it may not work..
-    with tifffile.TiffWriter(input_name) as tif: ## Define the input and output directories, and the pixel size. Open a new TIFF file to write the collected tiles, read each image, extract the position from the filename, prepare metadata, and write the image with metadata into the TIFF file. Finally, use ASHLAR to stitch the images together.
-        for ix in np.arange(Nx):
-            for iy in np.arange(Ny):
-                mPos = (ix * xDim * mOverlap + initialPosX, iy * yDim * mOverlap + initialPosY)
-                api.imcontrol.movePositioner(positionerName, "XY", mPos, True, True)
-                time.sleep(0.5)
-                mFrame = api.imcontrol.snapImage(True, False)
-                metadata = {
-				  'Pixels': {'PhysicalSizeX': mPixelSize, 'PhysicalSizeXUnit': 'm', 'PhysicalSizeY': mPixelSize, 'PhysicalSizeYUnit': 'm'},
-				  'Plane': {'PositionX': ix, 'PositionY': iy}
-			 	}
-                tif.write(mFrame, metadata=metadata)
-                iiter += 1
-    ashlar.main(['', ashlar_input_file, '-o', ashlar_output_file, '--pyramid', '-m%s' % maximum_shift_microns, "-flip_x", flip_x, "-flip_y", flip_y])
-	
-else: # this is a workaround with a numpy reader instead
-	mImageList = []
-	position_list = [] 
-	for ix in range(Nx):
-		for iy in range(Ny):
-			mPos = (ix * xDim * mOverlap + initialPosX, iy * yDim * mOverlap + initialPosY)
-			api.imcontrol.movePositioner(positionerName, "XY", mPos, True, True)
-			time.sleep(0.5)
-			mFrame = api.imcontrol.snapImage(True, False)
-			mImageList.append(mFrame)
-			position_list.append(mPos)
-			print(mPos)
-	arrays = [np.expand_dims(np.array(mImageList),1)]  # (num_images, num_channels, height, width)
-	# create a 2D list of xy positions 
-	position_list = np.array(position_list)
-
-	# Process numpy arrays
-	process_images(filepaths=arrays,
-					output='ashlar_output.tif',
-					align_channel=0,
-					flip_x=flip_x,
-					flip_y=flip_y,
-					flip_mosaic_x=False,
-					flip_mosaic_y=False,
-					output_channels=None,
-					maximum_shift=maximum_shift_microns,
-					stitch_alpha=0.01,
-					maximum_error=None,
-					filter_sigma=0,
-					filename_format='cycle_{cycle}_channel_{channel}.tif',
-					pyramid=False,
-					tile_size=1024,
-					ffp=None,
-					dfp=None,
-					barrel_correction=0,
-					plates=False,
-					quiet=False, 
-					position_list=position_list,
-					pixel_size=mPixelSize)
-	mImage = tifffile.imread('ashlar_output.tif')
-	
-	#display the resulting tiles
-	api.imcontrol.displayImageNapari("Tiles", arrays[0], isRGB=False)	
-	
-	print(position_list)
-	# display the resulting image
-	api.imcontrol.displayImageNapari("StitchedImage", mImage, isRGB=False)
\ No newline at end of file
diff --git a/scripts/MeasureCrossCorrelation..py b/scripts/MeasureCrossCorrelation..py
deleted file mode 100644
index 9f57ac9..0000000
--- a/scripts/MeasureCrossCorrelation..py
+++ /dev/null
@@ -1,85 +0,0 @@
-
-from skimage.registration import phase_cross_correlation
-import time
-import cv2
-import tifffile as tif
-import numpy as np
-# Reduce dimensions by a factor of 10
-
-image1 = None
-image2 = None	
-
-positionerName = api.imcontrol.getPositionerNames()[0]
-positions = api.imcontrol.getPositionerPositions()
-
-posXinit = positions["ESP32Stage"]["X"]
-
-
-def preProcess(inputImage):
-		scale_factor = 1/2
-		inputImage_ = cropCenter(np.copy(inputImage), crop_size=512)
-		inputImage_ = cv2.resize(inputImage_, None, fx=scale_factor, fy=scale_factor)
-		# Apply Gaussian blur
-		kernel_size = (5, 5)  # Adjust the kernel size as needed
-		inputImage_ = cv2.GaussianBlur(inputImage_, kernel_size, 0)
-		return inputImage_
-		
-def cropCenter(marray, crop_size=512):
-	center_x, center_y = marray.shape[1] // 2, marray.shape[0] // 2
-
-	# Calculate the starting and ending indices for cropping
-	x_start = center_x - crop_size // 2
-	x_end = x_start + crop_size
-	y_start = center_y - crop_size // 2
-	y_end = y_start + crop_size
-
-	# Crop the center region
-	return marray[y_start:y_end, x_start:x_end]
-
-	
-iiter = 0
-backgroundImage = []
-while 1:
-
-	iiter +=1
-	
-	image2 = api.imcontrol.snapImage(True, False)
-	
-	
-	if iiter >10:	
-		
-		if type(backgroundImage)==list:
-			backgroundImage = np.array(backgroundImage)
-			backgroundImage = np.mean(backgroundImage,0)
-			backgroundImage = preProcess(backgroundImage)
-			print(backgroundImage.shape)
-		# normalization
-		image1_ = preProcess(image1)/backgroundImage
-		image2_ = preProcess(image2)/backgroundImage
-		image1_ = np.uint8(image1_/np.max(image1_)*255)
-		image2_ = np.uint8(image2_/np.max(image2_)*255)
-		
-		
-		shift, error, diffphase = phase_cross_correlation(image1_, image2_)
-		print(f"Shift (x, y) and motion: ({shift[0]}, {shift[1]}, {posX}, {shift[1]/posX}) pixels")
-
-		
-
-		
-		tif.imwrite("test9.tif", np.hstack((image1_,image2_)), append=True)
-	else:
-		backgroundImage.append(image2)
-
-	if iiter <10:
-		posX = posXinit + np.random.randint(100)-50
-		api.imcontrol.movePositioner(positionerName, "Y", posX, True, True)
-	else:
-		posX = (iiter // 10 % 2 -.5)*20
-		api.imcontrol.movePositioner(positionerName, "Y", posX, False, True)
-		
-	image1 = np.copy(image2)
-	
-
-	
-	
-	time.sleep(0.5)
diff --git a/scripts/OFMStitcher.py b/scripts/OFMStitcher.py
deleted file mode 100644
index e584cca..0000000
--- a/scripts/OFMStitcher.py
+++ /dev/null
@@ -1,149 +0,0 @@
-# Install: " git clone https://gitlab.com/openflexure/openflexure-stitching
-# cd openflexure-stitching
-# python -m pip install -r requirements.txt
-# python -m install -e . --no-deps
-# Importing necessary libraries
-import numpy as np
-import time
-import os
-from PIL import Image
-from ashlar.scripts.ashlar import process_images
-from pathlib import Path
-import piexif
-import json
-
-# Constants and configuration
-mPixelSize = 1.0  # micron - use a calibration chart to get this right!
-input_dir = "./mScanImages"
-output_dir = "./mStitchedImage"
-input_name = "TmpTileFile.jpg"
-output_name = "ResultingStitchedImage.jpg"
-initialPosX = 0
-initialPosY = 0
-maximum_shift_microns = 1000
-Nx = 2
-Ny = 2
-flip_x = True
-flip_y = False
-
-# Create the folders and names
-Path(input_dir).mkdir(parents=True, exist_ok=True)
-Path(output_dir).mkdir(parents=True, exist_ok=True)
-ashlar_output_file = os.path.join(output_dir, output_name)
-ashlar_input_file = os.path.join(input_dir, input_name)
-
-# Define the frame shape, dimensions, and overlap
-mFrameShape = api.imcontrol.snapImage(True, False).shape
-xDim = mFrameShape[1] * mPixelSize
-yDim = mFrameShape[0] * mPixelSize
-mOverlap = 0.8  # 90% overlap at the edges
-
-# Set the motor control to 0 and define the motor speeds for the X, Y, and Z axes
-positionerName = api.imcontrol.getPositionerNames()[0]
-api.imcontrol.setPositionerSpeed(positionerName, "X", 20000)
-api.imcontrol.setPositionerSpeed(positionerName, "Y", 20000)
-api.imcontrol.setPositionerSpeed(positionerName, "Z", 2000)
-
-# Capture images in a grid pattern, save them with coordinates as the filename and add metadata
-iiter = 0
-mImageList = []
-position_list = []
-for ix in range(Nx):
-    for iy in range(Ny):
-        mPos = (ix * xDim * mOverlap + initialPosX, iy * yDim * mOverlap + initialPosY)
-        api.imcontrol.movePositioner(positionerName, "XY", mPos, True, True)
-        time.sleep(0.5)
-        mFrame = api.imcontrol.snapImage(True, False)
-        
-        # Convert to 8-bit grayscale
-        if mFrame.dtype != np.uint8:
-            mFrame = (mFrame / np.max(mFrame) * 255).astype(np.uint8)
-        
-        # Prepare metadata for EXIF
-        user_comment = json.dumps({
-            'instrument': {
-                'state': {'stage': {'position': {'x': mPos[0], 'y': mPos[1]}}},
-                'settings': {'extensions': {
-                    'org.openflexure.camera_stage_mapping': {
-                        'image_to_stage_displacement': [[1, 0], [0, 1]]
-                    }
-                }}
-            }
-        }).encode('utf-8')
-        
-        exif_dict = {
-            "Exif": {
-                piexif.ExifIFD.UserComment: user_comment
-            }
-        }
-        exif_bytes = piexif.dump(exif_dict)
-        
-        # Save image with metadata
-        img_filename = f"{input_dir}/image_{ix}_{iy}.jpg"
-        image = Image.fromarray(mFrame, mode='L')
-        image.save(img_filename, "JPEG", exif=exif_bytes)
-        
-        mImageList.append(mFrame)
-        position_list.append(mPos)
-        print(mPos)
-        
-        iiter += 1
-
-		
-# Importing necessary libraries and functions
-import numpy as np
-import os
-import json
-import piexif
-from PIL import Image
-from pathlib import Path
-#from typing import Optional, List
-#from argparse import Namespace
-#from openflexure_stitching.loading import load_images
-#from openflexure_stitching.correlation import correlate_overlapping_images
-from openflexure_stitching.types import CorrelationSettings, TilingSettings, PairData
-from openflexure_stitching.pipeline import load_tile_and_stitch
-#from openflexure_stitching. import plotting
-#from openflexure_stitching.optimisation import test_all_thresholds, filter_pairs, fit_positions_lstsq, manual_threshold
-#from openflexure_stitching.stitching import stitch_and_save, stitch_to_tiles
-#from openflexure_stitching.loading import get_img_size
-
-try:
-    from openflexure_stitching.stitching.pyramidal_tiff import produce_tiff
-    TIFF_ENABLED = True
-except ImportError:
-    print("VIPS not installed: TIFF export disabled")
-    TIFF_ENABLED = False
-
-# Constants and configuration
-stitching_mode = "all"  # Options: 'all', 'only_correlate', 'only_stage_stitch'
-stitch_tiff = False  # Set to True if you want to produce a pyramidal TIFF
-
-correlation_settings = CorrelationSettings(
-    pad=True,
-    resize=0.5,
-    high_pass_sigma=50,
-    minimum_overlap=0.29,
-    priority="time"
-)
-
-tiling_settings = TilingSettings(
-    csm_matrix=[[0, 0], [0, 0]],  # This would typically be loaded from your images
-    csm_calibration_width=-1,
-    thresholding_method="automatic"
-)
-
-# Creating necessary directories and preparing images
-input_dir = "./mScanImages"
-output_dir = "./mStitchedImage"
-
-# Now directly calling the load_tile_and_stitch function
-load_tile_and_stitch(
-    folder=input_dir,
-    correlation_settings=correlation_settings,
-    tiling_settings=tiling_settings,
-    stitching_mode=stitching_mode,
-    stitch_tiff=stitch_tiff
-)
-
-		
\ No newline at end of file
diff --git a/scripts/OFMStitcherStitchingOnly.py b/scripts/OFMStitcherStitchingOnly.py
deleted file mode 100644
index f754924..0000000
--- a/scripts/OFMStitcherStitchingOnly.py
+++ /dev/null
@@ -1,48 +0,0 @@
-		
-# Importing necessary libraries and functions
-from PIL import Image
-from pathlib import Path
-from openflexure_stitching.types import CorrelationSettings, TilingSettings, PairData
-from openflexure_stitching.pipeline import load_tile_and_stitch
-
-try:
-    from openflexure_stitching.stitching.pyramidal_tiff import produce_tiff
-    TIFF_ENABLED = True
-except ImportError:
-    print("VIPS not installed: TIFF export disabled")
-    TIFF_ENABLED = False
-
-# Constants and configuration
-stitching_mode = "all"  # Options: 'all', 'only_correlate', 'only_stage_stitch'
-stitch_tiff = TIFF_ENABLED  # Set to True if you want to produce a pyramidal TIFF
-
-correlation_settings = CorrelationSettings(
-    pad=True,
-    resize=0.5,
-    high_pass_sigma=50,
-    minimum_overlap=0.29,
-    priority="time"
-)
-
-CSMMatrix = [[0.0,-1.0013599686228887],
-            [-1.0013599686228885,0.0]]
-#[[0, 1], [1, 0]]
-tiling_settings = TilingSettings(
-    csm_matrix=CSMMatrix,  # This would typically be loaded from your images
-    csm_calibration_width=-1,
-    thresholding_method="automatic"
-)
-
-# Creating necessary directories and preparing images
-input_dir = "/Users/bene/Dropbox/Dokumente/Promotion/PROJECTS/MicronController/ImSwitch/mScanImages"
-
-# Now directly calling the load_tile_and_stitch function
-load_tile_and_stitch(
-    folder=input_dir,
-    correlation_settings=correlation_settings,
-    tiling_settings=tiling_settings,
-    stitching_mode=stitching_mode,
-    stitch_tiff=stitch_tiff
-)
-
-		
\ No newline at end of file
diff --git a/scripts/SIM_ZStack_timelapse.py b/scripts/SIM_ZStack_timelapse.py
deleted file mode 100644
index 34919eb..0000000
--- a/scripts/SIM_ZStack_timelapse.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-N_images = 10
-dz = 10
-axis = "Z"
-Twait = 0
-
-
-laserName = api.imcontrol.getLaserNames()
-positioner = api.imcontrol.getPositionerNames()
-
-laserNameR = "635 Laser"
-laserNameB = "488 Laser"
-
-
-iiter = 1
-
-# timesteps 
-for dt in range(10):
-	
-	# iterate over Z-planes
-	for dz in range(-5, 5):
-		api.imcontrol.movePositioner(positioner[0], axis, dz*10, True, True)
-	
-		# iterate over lasers 
-		for dc in range(2):
-			if dc==0:
-				api.imcontrol.setLaserActive(laserNameR, True)
-				api.imcontrol.setLaserActive(laserNameB, False)
-			if dc==1:
-				api.imcontrol.setLaserActive(laserNameB, True)
-				api.imcontrol.setLaserActive(laserNameR, False)
-	
-			# iterate over pattterns and save images
-			for iPattern in range(9):
-				api.imcontrol.simPatternByID(iPattern)
-				api.imcontrol.snapImage() 
diff --git a/scripts/ScanRoots.py b/scripts/ScanRoots.py
deleted file mode 100644
index ee22918..0000000
--- a/scripts/ScanRoots.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import numpy as np
-import time
-
-#mainWindow.setCurrentModule('imcontrol')
-
-positionerName = api.imcontrol.getPositionerNames()[0]
-initialPosition = api.imcontrol.getPositionerPositions()[positionerName]
-
-# x,y,z
-root1 = (0,0,initialPosition["Z"])
-root2 = (1000,0,initialPosition["Z"])
-root3 = (5000,300,initialPosition["Z"])
-
-
-rootPositions = (root1, root2, root3)
-
-
-Pos1 = (44000, -65000, 8500)
-Pos2 = (32500, -65000, 8500)
-Pos3 = (26000, -65000, 8300)
-Pos4 = (19000, -65900, 8200)
-Pos5 = (14500, -66900, 8200)
-	
-rootPositions = (Pos1, Pos2, Pos3, Pos4, Pos5)
-	
-for iPosition in rootPositions:
-	# move to individual positions 
-	posX = iPosition[0]
-	# positionerName, axis, steps, absolute?, blocking?)
-	api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
-	# Y
-	posY = iPosition[1]
-	api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
-	#Z
-	posZ = iPosition[2]
-	api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
-	
-	if 0:
-		# move along the root 
-		for iY in range(5):
-			#relative motion along y 
-			api.imcontrol.movePositioner(positionerName, "Y", 100, False, True)
-			api.imcontrol.snapImageToPath("iY"+str(iY))
-		api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)	
-	
\ No newline at end of file
diff --git a/scripts/UC2_OCT_control.py b/scripts/UC2_OCT_control.py
deleted file mode 100644
index f3cab17..0000000
--- a/scripts/UC2_OCT_control.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-
-lensName1 = "Lens 1"
-lensName2 = "Lens 2"
-
-
-
-for lensPos in range(0,100):
-	
-	api.imcontrol.setLaserValue(lensName1, lensPos)
-	api.imcontrol.setLaserActive(lensName1, True)
-	api.imcontrol.setLaserValue(lensName2, lensPos)
-	api.imcontrol.setLaserActive(lensName2, True)
-	time.sleep(.1)
-		
-	api.imcontrol.snapImage(name="OCT_image_lensPos_"+str(lensPos)) 
-	
-
diff --git a/scripts/UC2_multicolour_timelapse.py b/scripts/UC2_multicolour_timelapse.py
deleted file mode 100644
index e486005..0000000
--- a/scripts/UC2_multicolour_timelapse.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import numpy as np
-import time
-
-#mainWindow.setCurrentModule('imcontrol')
-
-laserNameR = "635 Laser"
-laserNameB = "488 Laser"
-
-ledName = "White LED"
-
-iiter = 0
-tperiode=3 #minuten
-isautofocus=False
-
-while True:
-	if isautofocus and (iiter%10)==0:
-		
-		# autofocus
-		api.imcontrol.setLaserActive(laserNameR, True)
-		api.imcontrol.autoFocus(rangez=200, resolutionz=10)
-		api.imcontrol.setLaserActive(laserNameR, False)
-	# image for red
-	print("Laser RED")
-	api.imcontrol.setLaserActive(laserNameR, True)
-	time.sleep(5)
-	api.imcontrol.snapImage()
-	api.imcontrol.setLaserActive(laserNameR, False)
-
-	# image for blue
-	print("Laser Blue")
-	api.imcontrol.setLaserActive(laserNameB, True)
-	time.sleep(5)
-	api.imcontrol.snapImage()
-	api.imcontrol.setLaserActive(laserNameB, False)
-
-
-	time.sleep(tperiode*60)
-	print(iiter)
-	iiter +=1
-	
diff --git a/scripts/UC2_sendserialtable.py b/scripts/UC2_sendserialtable.py
deleted file mode 100644
index c1b9c3c..0000000
--- a/scripts/UC2_sendserialtable.py
+++ /dev/null
@@ -1,17 +0,0 @@
-mainWindow.setCurrentModule('imcontrol')
-api.imcontrol.startRecording()
-task = """{"task": "/motor_act", "speed0":0, "speed1":0,"speed2":40,"speed3":9000, "isforever":1, "isaccel":1} 
-  {"task": "/state_set", "isdebug":0}
-  {"task": "/state_act", "delay": 100}
-  {
-  "task": "multitable",
-  "task_n": 2,
-  "repeats_n": 200,
-  "0": {"task": "/digital_act", "digitalid": 1, "digitalval":-1},
-  "1": {"task": "/state_act", "delay": 50}
-  }
-  {"task": "/motor_act", "isstop":1}
-  {"task": "/motor_act", "isenable":0}
-  {"task": "/state_set", "isdebug":1}"""
-message=api.imcontrol.send_serial(task)
-#api.imcontrol.stopRecording()
\ No newline at end of file
diff --git a/scripts/UC2_test_setspeed.py b/scripts/UC2_test_setspeed.py
deleted file mode 100644
index 2f3b4c9..0000000
--- a/scripts/UC2_test_setspeed.py
+++ /dev/null
@@ -1,17 +0,0 @@
-positioner = api.imcontrol.getPositionerNames()
-
-
-speed_pump = 50
-speed_tomo = 5000
-Nsteps = 100000
-
-api.imcontrol.setPositionerSpeed(positioner[0], (1000,speed_pump,speed_tomo))
-#xyz = focus holo, pump, rotation
-api.imcontrol.movePositioner(positioner[0], "XYZ", (0,int(-speed_pump/speed_tomo*Nsteps),Nsteps))
-
-api.imcontrol.setMotorsEnabled(positioner[0], 0)
-
-api.imcontrol.sendTrigger(1)
-
-api.imcontrol.post_json()
-
diff --git a/scripts/UC2_timelapse.py b/scripts/UC2_timelapse.py
deleted file mode 100644
index cdcdf7a..0000000
--- a/scripts/UC2_timelapse.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-laserName = "LED"
-
-iiter = 1
-
-#positioner = api.imcontrol.getPositionerNames()
-while True:
-	api.imcontrol.setLaserActive(laserName, True)
-	time.sleep(1)
-	api.imcontrol.snapImage() 
-	api.imcontrol.setLaserActive(laserName, False)
-
-	time.sleep(1*60)
-	print(iiter)
-	iiter +=1
\ No newline at end of file
diff --git a/scripts/UC2_timelapse_positionlist.py b/scripts/UC2_timelapse_positionlist.py
deleted file mode 100644
index 7bbeea9..0000000
--- a/scripts/UC2_timelapse_positionlist.py
+++ /dev/null
@@ -1,62 +0,0 @@
-import numpy as np
-import time
-import threading
-mainWindow.setCurrentModule('imcontrol')
-
-api.imcontrol.enalbeMotors(None, False)
-# x,y,z
-positions = [	(0, 80000, -4290),
-				(17000, 80000, -4340),
-				(17000, 96000, -4290),
-				(9000, 96000, -4290)]
-positions = [(9000, 7000, 110),
-				(18000, 16000, 110),
-				(54000, 25000, -130),
-				(63000, 52000, -240)]
-
-positionerName = api.imcontrol.getPositionerNames()[0]
-print(api.imcontrol.getPositionerPositions())
-api.imcontrol.setPositionerSpeed(positionerName, "X", 25000)
-api.imcontrol.setPositionerSpeed(positionerName, "Y", 25000)
-api.imcontrol.setPositionerSpeed(positionerName, "Z", 25000)
-
-api.imcontrol.homeAxis(positionerName, "X")
-api.imcontrol.homeAxis(positionerName, "Y")
-time.sleep(15)
-# move to inital position
-# X
-position = positions[5]
-posX = position[0]
-api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
-# Y
-posY = position[1]
-api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
-#Z
-posZ = position[2]
-api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
-
-#
-def doScanning():
-	iiter = 0
-	while 1:
-		iPos = 0
-		for position in positions:
-			print(position)
-			posX = position[0]
-			api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
-			# Y
-			posY = position[1]
-			api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
-			#Z
-			posZ = position[2]
-			api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
-
-			time.sleep(1)
-
-			api.imcontrol.snapImageToPath(str(iPos)+"_posscreening")
-			iPos +=1
-		time.sleep(60)
-		iiter +=1
-		print(iiter)
-
-doScanning()
diff --git a/scripts/UC2_tomography.py b/scripts/UC2_tomography.py
deleted file mode 100644
index 3cb36a1..0000000
--- a/scripts/UC2_tomography.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import time
-
-#mainWindow.setCurrentModule('imcontrol')
-
-laserName = "635 Lasesr"
-ledName = "White LED"
-
-N_step_roundtrip = 53*300
-
-#pixelsize
-N_period = 20
-P_period = 950 # pixels
-d_reality = 25.4*1e-3/408 # dpi of huawei p20
-print('pixelsize')
-print(N_period*d_reality/P_period) # 1.3106295149638802e-06 m
-wavelength = 488*1e-9
-NA=.3
-pixelsize_nyq = wavelength/NA/2 # 0.8133333333333334e-06 => undersampled
-
-
-
-deg_per_step = 360/N_step_roundtrip
-iiter = 1
-positioner = api.imcontrol.getPositionerNames()
-api.imcontrol.movePositioner(positioner[0], "XYZ", (1000,0,0))
-
-positioner = api.imcontrol.getPositionerNames()
-api.imcontrol.setSpeed(positioner[0], (1000,50,1000))
-api.imcontrol.setMotorsEnabled(positioner[0], 1)
-
-
-# roundtrip
-delta_deg = 10
-roundtrip = 360
-N_steps = roundtrip//delta_deg
-print(N_steps)
-n_step = int(delta_deg/deg_per_step)
-print(n_step)
-
-api.imcontrol.setMotorsEnabled(positioner[0], 1)
-
-for i in range(N_steps+1):
-	api.imcontrol.movePositioner(positioner[0], "X", n_step)
-	time.sleep(.2) # settle
-	api.imcontrol.snapImage() 
diff --git a/scripts/UC2_zstack_multicolour_timelapse.py b/scripts/UC2_zstack_multicolour_timelapse.py
deleted file mode 100644
index 3e7b65a..0000000
--- a/scripts/UC2_zstack_multicolour_timelapse.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-N_images = 10
-dz = 10
-axis = "Z"
-Twait = 0
-
-
-laserName = api.imcontrol.getLaserNames()
-positioner = api.imcontrol.getPositionerNames()
-
-laserNameR = "635 Laser"
-laserNameB = "488 Laser"
-
-
-iiter = 1
-
-
-
-
-while True:
-	laser = api.imcontrol.setLaserActive(laserNameR, True)
-	time.sleep(5)
-	
-	# take zstack
-	#api.imcontrol.setLaserActive(laserName, True)
-	api.imcontrol.movePositioner(positioner[0], axis, -N_images*dz/2)
-	time.sleep(5)
-	for i_pos in range(N_images):
-		api.imcontrol.movePositioner(positioner[0], axis, dz)
-		time.sleep(1)
-		api.imcontrol.snapImage() 
-		
-	api.imcontrol.movePositioner(positioner[0], axis, -N_images*dz/2)
-
-	
-	
-	laser = api.imcontrol.setLaserActive(laserNameR, False)
-	time.sleep(1)
-	api.imcontrol.setLaserActive(laserNameB, True)
-	time.sleep(5)
-	
-	
-	# take zstack
-	#api.imcontrol.setLaserActive(laserName, True)
-	api.imcontrol.movePositioner(positioner[0], axis, -N_images*dz/2)
-	time.sleep(5)
-
-	for i_pos in range(N_images):
-		api.imcontrol.movePositioner(positioner[0], axis, dz)
-		time.sleep(1)
-		api.imcontrol.snapImage() 
-		
-	api.imcontrol.movePositioner(positioner[0], axis, -N_images*dz/2)
-
-	api.imcontrol.setLaserActive(laserNameB, False)
-		
-	time.sleep(Twait*60)
-	print(iiter)
-	iiter +=1
-	
-
diff --git a/scripts/Uc2_positionlist.py b/scripts/Uc2_positionlist.py
deleted file mode 100644
index 5ace227..0000000
--- a/scripts/Uc2_positionlist.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import numpy as np
-import time
-import threading
-mainWindow.setCurrentModule('imcontrol')
-
-api.imcontrol.enalbeMotors(None, False)
-# x,y,z
-positions = [(0, 0, 0),
-			(0, 10, 0),
-			(0, 100, 0),
-			(10, 100, 0),
-			(100, 0, 0)]
-
-positionerName = api.imcontrol.getPositionerNames()[0]
-print(api.imcontrol.getPositionerPositions())
-
-for position in positions:
-	# X
-	posX = position[0]
-	api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
-	# Y
-	posY = position[1]
-	api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
-	#Z
-	posZ = position[2]
-	api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
-
-	api.imcontrol.snapImageToPath(str(position)+"_posscreening")
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diff --git a/scripts/alignImagesTimestack.py b/scripts/alignImagesTimestack.py
deleted file mode 100644
index fdcb07c..0000000
--- a/scripts/alignImagesTimestack.py
+++ /dev/null
@@ -1,102 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Thu Jul 13 13:03:16 2023
-
-@author: user
-"""
-
-import scipy
-import numpy as np
-import os
-import tifffile as tif
-from scipy.ndimage import fourier_shift
-import scipy.ndimage as ndi
-import matplotlib.pyplot as plt
-from skimage.registration import phase_cross_correlation
-
-import scipy.signal as signal
-
-import skimage.transform as transform
-import matplotlib.pyplot as plt
-
-def downscale_image(image, factor):
-    # Downscale the image
-    downscaled_image = transform.downscale_local_mean(image, (factor, factor))
-    return downscaled_image
-
-def crop_center(image, size):
-    # Get the dimensions of the image
-    height, width = image.shape[:2]
-
-    # Calculate the coordinates for cropping
-    start_x = max(0, int((width - size) / 2))
-    start_y = max(0, int((height - size) / 2))
-    end_x = min(width, start_x + size)
-    end_y = min(height, start_y + size)
-
-    # Crop the image
-    cropped_image = image[start_y:end_y, start_x:end_x]
-
-    return cropped_image
-
-
-driftCorrectionDownScaleFactor = 5
-driftCorrectionCropSize = 800
-iShift = [0,0]
-for i in range(1,100):
-    # Directory containing the image files
-    directory = 'C:\\Users\\user\\Documents\\ImSwitchConfig\\recordings\\2023_07_11-03-54-59_PM\\t'+str(i)
-    
-    # Initialize empty dictionaries for each laser
-
-    imageList = []
-    led_images = []
-    
-    os.chdir(directory)
-    
-    # Read image files and store them in the corresponding dictionary
-    for filename in sorted(os.listdir(directory), key=os.path.getmtime):
-        if filename.endswith('.tif'):
-            if 'Laser2' in filename:
-                image_path = os.path.join(directory, filename)
-                image = tif.imread(image_path)
-                image = crop_center(image, driftCorrectionCropSize)
-                image = downscale_image(image, driftCorrectionDownScaleFactor)
-
-                imageList.append(image)
-                
-    # Find max focus 
-    bestFocus = 0
-    bestFocusIndex = 0
-    for index,image in enumerate(imageList):
-        imagearraygf = ndi.filters.gaussian_filter(image, 3)
-
-        # 3 compute focus metric
-        focusValue = np.mean(ndi.filters.laplace(imagearraygf))
-        if focusValue > bestFocus:
-            bestFocus = focusValue
-            bestFocusIndex = index
-
-    # Align the images
-    image2 = np.std(imageList, (0))
-    
-    #image2 = scipy.ndimage.gaussian_filter(image2, sigma=10)
-    if i>1:
-        shift, error, diffphase = phase_cross_correlation(image1, image2)
-        iShift += (shift)
-        
-        # Shift image2 to align with image1
-        image = imageList[bestFocusIndex]
-        aligned_image = np.roll(image, int(iShift[1]), axis=1)
-        aligned_image = np.roll(aligned_image,int(iShift[0]), axis=0)
-        
-        # Display the aligned image
-        plt.imshow(aligned_image)
-        plt.axis('off')
-        plt.show()
-   
-    image1 = image2.copy()
-
-    
-
-            
\ No newline at end of file
diff --git a/scripts/autofocus_online.py b/scripts/autofocus_online.py
deleted file mode 100644
index eb578ef..0000000
--- a/scripts/autofocus_online.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import numpy as np
-import time
-import numpy as np
-import scipy.ndimage as ndi
-import tifffile as tif
-from skimage.filters import gaussian, median
-
-
-mainWindow.setCurrentModule('imcontrol')
-
-ledName = "LED"
-laserNameB = "488 Laser"
-
-laserNameR = "635 Laser"
-
-
-
-def cropCenter(marray, crop_size=512):
-	center_x, center_y = marray.shape[1] // 2, marray.shape[0] // 2
-
-	# Calculate the starting and ending indices for cropping
-	x_start = center_x - crop_size // 2
-	x_end = x_start + crop_size
-	y_start = center_y - crop_size // 2
-	y_end = y_start + crop_size
-
-	# Crop the center region
-	return marray[y_start:y_end, x_start:x_end]
-
-def measureFocus(mImage, nGauss=5):
-	# 2 Gaussian filter the image, to remove noise
-	mImage = cropCenter(mImage, crop_size=1024)
-	# img_norm = img-np.min(img)
-	# img_norm = img_norm/np.mean(img_norm)
-	imagearraygf = ndi.filters.gaussian_filter(mImage, nGauss)
-
-	# 3 compute focus metric
-	mLaplace = ndi.filters.laplace(imagearraygf)
-	focusquality = np.mean(mLaplace)
-	return focusquality, mLaplace
-
-def recordFlatfield(nFrames=10, nGauss=16):
-	flatfield = []
-	for iFrame in range(nFrames):
-		mFrame = api.imcontrol.snapImage(True, False)
-		flatfield.append(mFrame)
-	flatfield = np.mean(np.array(flatfield),0)
-	# normalize and smooth using scikit image
-	flatfield = gaussian(flatfield, sigma=nGauss)
-	#flatfield = median(flatfield, selem=np.ones((nMedian, nMedian)))
-	return flatfield
-
-positionerName = api.imcontrol.getPositionerNames()[0]
-positionsStart = api.imcontrol.getPositionerPositions()
-posZstart = positionsStart["ESP32Stage"]["Z"]
-print(posZstart)
-
-# record flatfield in out-of-focus state
-dDefocus = 500
-api.imcontrol.movePositioner(positionerName, "Z", -dDefocus, False, True)
-time.sleep(1)
-flatfieldFrame = recordFlatfield()
-api.imcontrol.movePositioner(positionerName, "Z", posZstart, True, True)
-time.sleep(1)
-# 
-dz = 50
-tPause = 20
-
-for i in range(100):
-	positions = api.imcontrol.getPositionerPositions()
-	posZinit = positions["ESP32Stage"]["Z"]
-	
-	allFocusVal = []
-	allFocusPositions = np.linspace(-dz,dz,5)
-	for iZ in allFocusPositions:
-		api.imcontrol.movePositioner(positionerName, "Z", posZinit + iZ, True, True)
-		time.sleep(1)
-		mImage = api.imcontrol.snapImage(True, False)/flatfieldFrame
-		
-		focusquality, mLaplace = measureFocus(mImage, 7)
-		allFocusVal.append(focusquality)
-		tif.imsave("laplace4.tif", mLaplace, append=True)
-	allFocusVal = np.array(allFocusVal)
-	print(allFocusVal)
-	focusIndex = np.argmax(allFocusVal)
-	print(focusIndex)
-	bestFocusPos = allFocusPositions[focusIndex]
-
-	#api.imcontrol.movePositioner(positionerName, "Z", posZstart, True, True)
-	api.imcontrol.movePositioner(positionerName, "Z", posZinit+bestFocusPos, True, True)
-	time.sleep(1)
-	mImage = api.imcontrol.snapImage(True, False)/flatfieldFrame
-		
-	tif.imsave("result2.tif", mImage, append=True)
-	
-	time.sleep(10)
\ No newline at end of file
diff --git a/scripts/autofocus_test.py b/scripts/autofocus_test.py
deleted file mode 100644
index 2ecfc4c..0000000
--- a/scripts/autofocus_test.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import numpy as np
-import time
-import numpy as np
-import scipy.ndimage as ndi
-
-mainWindow.setCurrentModule('imcontrol')
-
-ledName = "LED"
-laserNameB = "488 Laser"
-
-laserNameR = "635 Laser"
-
-iiter = 0
-tperiode=0.1 #minuten
-isautofocus=False
-
-
-def cropCenter(marray, crop_size=512):
-	center_x, center_y = marray.shape[1] // 2, marray.shape[0] // 2
-
-	# Calculate the starting and ending indices for cropping
-	x_start = center_x - crop_size // 2
-	x_end = x_start + crop_size
-	y_start = center_y - crop_size // 2
-	y_end = y_start + crop_size
-
-	# Crop the center region
-	return marray[y_start:y_end, x_start:x_end]
-
-	
-positionerName = api.imcontrol.getPositionerNames()[0]
-positions = api.imcontrol.getPositionerPositions()
-
-posZinit = positions["ESP32Stage"]["Z"]
-print(posZinit)
-
-api.imcontrol.movePositioner(positionerName, "Z", -100, False, True)
-	
-allfocusvals = []
-for i in range(20):
-	api.imcontrol.setLaserActive(laserNameB, True)
-	time.sleep(.3)
-	mImage = api.imcontrol.snapImage(True, False)
-	api.imcontrol.setLaserActive(laserNameB, False)
-	
-	# 2 Gaussian filter the image, to remove noise
-	mImage = cropCenter(mImage, crop_size=1024)
-	# img_norm = img-np.min(img)
-	# img_norm = img_norm/np.mean(img_norm)
-	imagearraygf = ndi.filters.gaussian_filter(mImage, 3)
-
-	# 3 compute focus metric
-	focusquality = np.mean(ndi.filters.laplace(imagearraygf))
-	allfocusvals.append(focusquality)
-	
-	print(focusquality)
-		
-	api.imcontrol.movePositioner(positionerName, "Z", 10, False, True)
-	time.sleep(.1)
-	
-api.imcontrol.movePositioner(positionerName, "Z", posZinit, True, True)
diff --git a/scripts/convertTimeseriesToStack.py b/scripts/convertTimeseriesToStack.py
deleted file mode 100644
index e81db46..0000000
--- a/scripts/convertTimeseriesToStack.py
+++ /dev/null
@@ -1,60 +0,0 @@
-import numpy as np
-import os
-import tifffile as tif
-
-import scipy.ndimage as ndi
-import matplotlib.pyplot as plt
-
-
-for i in range(1,100):
-    # Directory containing the image files
-    directory = 'C:\\Users\\user\\Documents\\ImSwitchConfig\\recordings\\2023_07_11-03-54-59_PM\\t'+str(i)
-    
-    # Initialize empty dictionaries for each laser
-    laser1_images = []
-    laser2_images = []
-    led_images = []
-    
-    os.chdir(directory)
-    
-    # Read image files and store them in the corresponding dictionary
-    for filename in sorted(os.listdir(directory), key=os.path.getmtime):
-        if filename.endswith('.tif'):
-            if 'Laser1' in filename:
-                image_index = int(filename.split('_i_')[1].split('_Z_')[0])
-                image_path = os.path.join(directory, filename)
-                image = tif.imread(image_path)
-                laser1_images.append(image)
-                plt.imshow(image), plt.show()
-            elif 'Laser2' in filename:
-                image_index = int(filename.split('_i_')[1].split('_Z_')[0])
-                image_path = os.path.join(directory, filename)
-                image = tif.imread(image_path)
-                laser2_images.append(image)
-            elif 'LED' in filename:
-                image_index = int(filename.split('_i_')[1].split('_Z_')[0])
-                image_path = os.path.join(directory, filename)
-                image = tif.imread(image_path)
-                led_images.append(image)
-    
-    #%%
-    # Measure the variation of each image stack
-    resultList = []
-    index=0
-    for imageList in (laser1_images, laser2_images, led_images):
-        variation=[]
-        for image in imageList:
-            imagearraygf = ndi.filters.gaussian_filter(image, 3)
-    
-            # 3 compute focus metric
-            focusValue = np.mean(ndi.filters.laplace(imagearraygf))
-            variation.append(focusValue)
-            
-        plt.plot(variation), plt.show()
-        inFocusImage = imageList[np.argmax(variation)]
-        resultList.append(inFocusImage)
-        tif.imsave("C:\\Users\\user\\Documents\\ImSwitchConfig\\recordings\\2023_07_11-03-54-59_PM\\"+"result_"+str(index)+".tif", inFocusImage, append=True)
-        plt.imshow(inFocusImage), plt.show()
-        index+=1
-        
-# %% align data
\ No newline at end of file
diff --git a/scripts/detectDifferences.py b/scripts/detectDifferences.py
deleted file mode 100644
index 3cba49a..0000000
--- a/scripts/detectDifferences.py
+++ /dev/null
@@ -1,34 +0,0 @@
-import numpy as np
-import time
-from skimage.metrics import structural_similarity as ssim
-import cv2
-
-mainWindow.setCurrentModule('imcontrol')
-
-laserName = "635 Laser"
-ledName = "488 Laser"
-laserName = "LED"
-
-iiter = 1
-
-def compute_ssim(imageA, imageB):
-    # Ensure the images are the same size
-    assert imageA.shape == imageB.shape, "Images must have the same dimensions."
-
-    # Compute SSIM between two images
-    return ssim(imageA, imageB)
-
-mImage1 = api.imcontrol.snapImage(True, False)
-
-
-		
-while True:
-	#laser = api.imcontrol.setLaserActive(laserName, True)
-	time.sleep(2)
-	
-	mImage2 = api.imcontrol.snapImage(True, False)
-	print(np.mean(mImage2-mImage1))
-	similarity_index = compute_ssim(mImage1, mImage2)
-	print("SSIM:", similarity_index)
-
-	#mImage1 = np.copy(mImage2)
diff --git a/scripts/example_UC2.py b/scripts/example_UC2.py
deleted file mode 100644
index 3fa67e0..0000000
--- a/scripts/example_UC2.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-laserName = api.imcontrol.getLaserNames()
-positioner = api.imcontrol.getPositionerNames()
-
-#api.imcontrol.setLaserActive(laserName, True)
-N_images = 40
-dz = 1
-axis = "Z"
-api.imcontrol.movePositioner(positioner[0], axis, -N_images*dz/2)
-
-for i_pos in range(N_images):
-	api.imcontrol.movePositioner(positioner[0], axis, dz)
-	time.sleep(1)
-	api.imcontrol.snapImage() 
-	
-api.imcontrol.movePositioner(positioner[0], axis, -N_images*dz/2)
-
-
-
-'''
-values_405 = np.array([0, 0, 0, 0, 5, 10, 25, 50, 100, 200])
-lasername_405 = api.imcontrol.getLaserNames()[0]
-
-# Start Recording
-api.imcontrol.startRecording()
-for i in values_405:
-	# Set Laser Value
-	api.imcontrol.changeScanPower(lasername_405, i)
-	# Run Scan
-	api.imcontrol.runScan()
-	# Wait for finish
-	waitForScanningToEnd = getWaitForSignal(api.imcontrol.signals().scanEnded)
-	waitForScanningToEnd()
-	
-api.imcontrol.stopRecording()'''
\ No newline at end of file
diff --git a/scripts/example_Uc2_multicolour.py b/scripts/example_Uc2_multicolour.py
deleted file mode 100644
index 5450f96..0000000
--- a/scripts/example_Uc2_multicolour.py
+++ /dev/null
@@ -1,67 +0,0 @@
-import numpy as np
-import time
-
-def snap_zstack(N_images=50, dz=10):
-	axis = "Z"
-	api.imcontrol.movePositioner(positioner[0], axis, -(N_images*dz)//2)
-	time.sleep(5)
-	for i_pos in range(N_images):
-		api.imcontrol.movePositioner(positioner[0], axis, dz)
-		time.sleep(1)
-		api.imcontrol.snapImage() 
-	time.sleep(1)
-	api.imcontrol.movePositioner(positioner[0], axis, -(N_images*dz)//2)
-	time.sleep(5)
-	
-mainWindow.setCurrentModule('imcontrol')
-
-laserName = api.imcontrol.getLaserNames()
-positioner = api.imcontrol.getPositionerNames()
-
-laser_488 = '488 Laser'
-laser_635 = '635 Laser' 
-
-
-# snap GFP
-api.imcontrol.setLaserActive(laser_635, False)
-time.sleep(.3)
-api.imcontrol.setLaserActive(laser_488, True)
-time.sleep(.3)
-
-snap_zstack()
-#api.imcontrol.snapImage() 
-
-# snap AF647
-api.imcontrol.setLaserActive(laser_488, False)
-time.sleep(.3)
-api.imcontrol.setLaserActive(laser_635, True)
-time.sleep(.3)
-
-#api.imcontrol.snapImage() 
-snap_zstack()
-
-# turn off lasers
-api.imcontrol.setLaserActive(laser_488, False)
-api.imcontrol.setLaserActive(laser_635, False)
-
-
-
-
-'''
-
-values_405 = np.array([0, 0, 0, 0, 5, 10, 25, 50, 100, 200])
-lasername_405 = api.imcontrol.getLaserNames()[0]
-
-# Start Recording
-api.imcontrol.startRecording()
-for i in values_405:
-	# Set Laser Value
-	api.imcontrol.changeScanPower(lasername_405, i)
-	# Run Scan
-	api.imcontrol.runScan()
-	# Wait for finish
-	waitForScanningToEnd = getWaitForSignal(api.imcontrol.signals().scanEnded)
-	waitForScanningToEnd()
-	
-api.imcontrol.stopRecording()
-'''
\ No newline at end of file
diff --git a/scripts/example_import.py b/scripts/example_import.py
deleted file mode 100644
index 3067c8f..0000000
--- a/scripts/example_import.py
+++ /dev/null
@@ -1,26 +0,0 @@
-"""
-This script demonstrates how one can import another script and use its
-functionality. The imported script is specified by its file path relative
-to the main script (which in this case is this file).
-"""
-
-
-imported = importScript('example_imported.py')
-imported.printMessage()
-
-
-# Copyright (C) 2020, 2021 TestaLab
-# This file is part of ImSwitch.
-#
-# ImSwitch is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# ImSwitch is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <https://www.gnu.org/licenses/>.
diff --git a/scripts/example_imported.py b/scripts/example_imported.py
deleted file mode 100644
index f7584e2..0000000
--- a/scripts/example_imported.py
+++ /dev/null
@@ -1,25 +0,0 @@
-"""
-This script is not intended to be run by itself; it is intended to be imported
-by example_import.py
-"""
-
-
-def printMessage():
-    print('Running code from another file!')
-
-
-# Copyright (C) 2020, 2021 TestaLab
-# This file is part of ImSwitch.
-#
-# ImSwitch is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# ImSwitch is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <https://www.gnu.org/licenses/>.
diff --git a/scripts/example_record.py b/scripts/example_record.py
deleted file mode 100644
index 2ebd9b0..0000000
--- a/scripts/example_record.py
+++ /dev/null
@@ -1,46 +0,0 @@
-"""
-This script demonstrates some basic functions for recording, changing what
-module is displayed, and waiting for signals to be emitted. Note that the
-recording does not stop automatically if the script is terminated before it
-finishes.
-"""
-
-
-import time
-
-print('Starting recording in "until stop" mode...')
-api.imcontrol.setRecModeUntilStop()
-api.imcontrol.startRecording()
-
-print('Recording started. Showing hardware control tab for a few seconds before stopping.')
-time.sleep(3)
-mainWindow.setCurrentModule('imcontrol')
-time.sleep(5)
-
-print('Going back to scripting tab.')
-mainWindow.setCurrentModule('imscripting')
-time.sleep(2)
-
-print('Stopping recording...')
-waitForRecordingToEnd = getWaitForSignal(api.imcontrol.signals().recordingEnded)
-api.imcontrol.stopRecording()  # It's important to call this after getWaitForSignal!
-waitForRecordingToEnd()
-
-print('Recording stopped.')
-
-
-# Copyright (C) 2020, 2021 TestaLab
-# This file is part of ImSwitch.
-#
-# ImSwitch is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# ImSwitch is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <https://www.gnu.org/licenses/>.
diff --git a/scripts/execFunctionExample.py b/scripts/execFunctionExample.py
deleted file mode 100644
index a611ade..0000000
--- a/scripts/execFunctionExample.py
+++ /dev/null
@@ -1 +0,0 @@
-api.imcontrol.executeFunction('self._master.positionersManager["ESP32Stage"].move("ESP32Stage","X",1)')
\ No newline at end of file
diff --git a/scripts/flatfield..py b/scripts/flatfield..py
deleted file mode 100644
index feed3ca..0000000
--- a/scripts/flatfield..py
+++ /dev/null
@@ -1,24 +0,0 @@
-#%%
-import numpy as np
-import tifffile as tif
-import NanoImagingPack as nip
-import napari
-mImage = tif.imread('/Users/bene/Dropbox/2023_02_23-02-35-26_PM Manuel_Composite_Niceresult.tif')
-
-
-#tif.imwrite("test.tif", )
-# %%
-#flatfield
-mImage = mImage/np.expand_dims(np.expand_dims(np.mean(mImage, (2,3)),-1),-1)
-mImage /= np.expand_dims(nip.gaussf(np.mean(mImage, 0),25),0)
-                             
-#%%        
-viewer = napari.view_image(
-        nip.gaussf(mImage,1),
-        channel_axis=1,
-        name=["membrane", "nuclei"],
-        colormap=["green", "magenta"],
-        contrast_limits=[[0, 5], [0, 5]],
-        scale=[3,1,1]
-        )
-# %%
diff --git a/scripts/histoScan.py b/scripts/histoScan.py
deleted file mode 100644
index 22fdaeb..0000000
--- a/scripts/histoScan.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-# x,y,z
-initPos = api.imcontrol.getPositionerPositions()["ESP32Stage"]
-initPos = (initPos["X"],initPos["Y"],initPos["Z"])
-nPixels = (3072,2048)
-pixelSize = 0.225
-overlap = 0.8
-posZ = initPos[-1]
-positionerName = api.imcontrol.getPositionerNames()[0]
-print(api.imcontrol.getPositionerPositions())
-
-nX = 10
-nY = 10
-
-positionList = []
-for iy in range(nY):
-	for ix in range(nX):
-
-		posX = ix * pixelSize*nPixels[0]*overlap+initPos[0]
-		posY = iy * pixelSize*nPixels[1]*overlap+initPos[1]
-		api.imcontrol.movePositioner(positionerName, "XY", (posX, posY), True, True)
-		print(str(posX)+"-"+str(posY))
-		time.sleep(.2)
-		api.imcontrol.snapImageToPath(str((posX,posY)))
-		positionList.append((posX, posY, posZ))
-
-
-posX = initPos[0]
-posY = initPos[1]
-api.imcontrol.movePositioner(positionerName, "XY", (posX, posY), True, True)
-
-np.save("positions", positionList)
-		
-				
\ No newline at end of file
diff --git a/scripts/histoscan.py b/scripts/histoscan.py
deleted file mode 100644
index 22fdaeb..0000000
--- a/scripts/histoscan.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-# x,y,z
-initPos = api.imcontrol.getPositionerPositions()["ESP32Stage"]
-initPos = (initPos["X"],initPos["Y"],initPos["Z"])
-nPixels = (3072,2048)
-pixelSize = 0.225
-overlap = 0.8
-posZ = initPos[-1]
-positionerName = api.imcontrol.getPositionerNames()[0]
-print(api.imcontrol.getPositionerPositions())
-
-nX = 10
-nY = 10
-
-positionList = []
-for iy in range(nY):
-	for ix in range(nX):
-
-		posX = ix * pixelSize*nPixels[0]*overlap+initPos[0]
-		posY = iy * pixelSize*nPixels[1]*overlap+initPos[1]
-		api.imcontrol.movePositioner(positionerName, "XY", (posX, posY), True, True)
-		print(str(posX)+"-"+str(posY))
-		time.sleep(.2)
-		api.imcontrol.snapImageToPath(str((posX,posY)))
-		positionList.append((posX, posY, posZ))
-
-
-posX = initPos[0]
-posY = initPos[1]
-api.imcontrol.movePositioner(positionerName, "XY", (posX, posY), True, True)
-
-np.save("positions", positionList)
-		
-				
\ No newline at end of file
diff --git a/scripts/inidividualLEDs.py b/scripts/inidividualLEDs.py
deleted file mode 100644
index 0b38d48..0000000
--- a/scripts/inidividualLEDs.py
+++ /dev/null
@@ -1,7 +0,0 @@
-mPattern = list(({"id":1,"r":0, "g":1, "b":0},
-			{"id":2, "r":0, "g":1, "b":0},
-			{"id":3, "r":0, "g":1, "b":0},
-			{"id":4, "r":0, "g":1, "b":0},
-			{"id":5, "r":0, "g":1, "b":0}))
-for i in range(20):
-	api.imcontrol.setSpecial(mPattern, 255, True)
\ No newline at end of file
diff --git a/scripts/loadtimeseries.py b/scripts/loadtimeseries.py
deleted file mode 100644
index 9a2c1cd..0000000
--- a/scripts/loadtimeseries.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import os
-import tifffile
-
-# Define the path to the top-level directory containing the subfolders
-dir_path = r'C:\Users\user\Documents\ImSwitchConfig\recordings\2023_04_24-09-12-25_PM'
-dir_path = r'C:\Users\user\Documents\ImSwitchConfig\recordings\2023_04_26-11-28-10_AM'
-dir_path = r'C:\Users\user\Documents\ImSwitchConfig\recordings\2023_04_26-12-22-57_PM'
-dir_path = r'C:\Users\user\Documents\ImSwitchConfig\recordings\2023_04_26-12-34-01_PM'
-
-# Loop through each subfolder in sequence and load all TIF images
-for i in range(60):  # assuming 10 subfolders numbered 0-9
-    sub_dir = os.path.join(dir_path, "t"+str(i+1))  # get the path to the current subfolder
-    for file_name in os.listdir(sub_dir):  # loop through all files in the subfolder
-        if file_name.endswith('.tif'):  # check if the file is a TIF image
-            file_path = os.path.join(sub_dir, file_name)  # get the full path to the TIF image
-            tif_data = tifffile.imread(file_path)  # load the TIF image data
-            # do something with the TIF data, e.g. print its shape
-            print(f'TIF image {file_name} has shape {tif_data.shape}')
-            tifffile.imwrite(dir_path+"stack.tif",tif_data, append=True)
\ No newline at end of file
diff --git a/scripts/manualcontrol_z.py b/scripts/manualcontrol_z.py
deleted file mode 100644
index 0a87696..0000000
--- a/scripts/manualcontrol_z.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import pygame
-from pygame.locals import *
-
-pygame.init()
-screen = pygame.display.set_mode((400,300))
-
-positioner = api.imcontrol.getPositionerNames()
-
-axis = "Z"
-
-while True:
-	for event in pygame.event.get():
-		if event.type == KEYDOWN:
-			if event.key == pygame.K_DOWN:
-				print("Down")
-				api.imcontrol.movePositioner(positioner[0], axis, 20)
-
-			if event.key == pygame.K_UP:
-				print("Up")
-				api.imcontrol.movePositioner(positioner[0], axis, -20)
-				
-			if event.key == pygame.K_RIGHT:
-				api.imcontrol.movePositioner(positioner[0], axis, 100)
-				
-			if event.key == pygame.K_LEFT:
-				api.imcontrol.movePositioner(positioner[0], axis, -100)
-				
-			if event.type == pygame.QUIT:
-				pygame.quit()
-				exit()
diff --git a/scripts/position_reproducibilitytest.py b/scripts/position_reproducibilitytest.py
deleted file mode 100644
index 64584cf..0000000
--- a/scripts/position_reproducibilitytest.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-dx = 10000
-dy = 10000
-
-positionerName = api.imcontrol.getPositionerNames()[0]
-cX = api.imcontrol.getPositionerPositions()[positionerName]['X']
-cY = api.imcontrol.getPositionerPositions()[positionerName]['Y']
-
-api.imcontrol.setPositionerSpeed(positionerName, 'X', 20000)
-api.imcontrol.setPositionerSpeed(positionerName, 'Y', 20000)
-iiter=0
-for i in range(5):
-	# pos 1 
-	api.imcontrol.movePositioner(positionerName, "X", cX, True,True)
-	api.imcontrol.movePositioner(positionerName, "Y", cY, True,True)
-	api.imcontrol.snapImageToPath("_1_"+str(iiter))
-	# pos 2
-	api.imcontrol.movePositioner(positionerName, "X", cX+dx, True,True)
-	api.imcontrol.movePositioner(positionerName, "Y", cY, True,True)
-	api.imcontrol.snapImageToPath("_2_"+str(iiter))
-	# pos 3
-	api.imcontrol.movePositioner(positionerName, "X", cX+dx, True,True)
-	api.imcontrol.movePositioner(positionerName, "Y", cY+dy, True,True)
-	api.imcontrol.snapImageToPath("_3_"+str(iiter))
-	# pos 4 
-	api.imcontrol.movePositioner(positionerName, "X", cX, True,True)
-	api.imcontrol.movePositioner(positionerName, "Y", cY+dy, True,True)
-	api.imcontrol.snapImageToPath("_4_"+str(iiter))
-	time.sleep(1)
\ No newline at end of file
diff --git a/scripts/readtimelapseimages.py b/scripts/readtimelapseimages.py
deleted file mode 100644
index 6929aeb..0000000
--- a/scripts/readtimelapseimages.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Fri Feb 17 10:44:29 2023
-
-@author: UC2
-"""
-import os
-import numpy as np
-import tifffile as tif
-import cv2
-import glob, os
-mPath = '.\\ImSwitch\\ImSwitch\\recordings\\2023-02-21\\'
-mPath = 'C:\\Users\\UC2\\Documents\\ImSwitchConfig\\recordings\\2023_03_06-10-39-29_AM\\'
-
-mFolders = sorted(glob.glob(mPath+"*"), key=os.path.getmtime)
-mAllfiles = []
-
-for iFolder in mFolders:
-	for file in glob.glob(iFolder+"\*.tif"):
-		print(iFolder)
-		tif.imwrite(os.path.join(mPath,"file.tif"), cv2.resize(tif.imread(file), dsize=None, fx=.25, fy=.25), append=True)
-        
diff --git a/scripts/realtimePosUpdate.py b/scripts/realtimePosUpdate.py
deleted file mode 100644
index 6b0c946..0000000
--- a/scripts/realtimePosUpdate.py
+++ /dev/null
@@ -1,11 +0,0 @@
-import numpy as np
-import time
-
-positionerName = api.imcontrol.getPositionerNames()[0]
-api.imcontrol.movePositioner(positionerName, "X", 10000, False, False)
-time.sleep(0.05)
-t0 = time.time()
-for _ in range (10):
-	print(api.imcontrol.getPositionerPositions(1))
-	print(time.time()-t0)
-	t0 = time.time()
diff --git a/scripts/reconstructholo.py b/scripts/reconstructholo.py
deleted file mode 100644
index 215b9ad..0000000
--- a/scripts/reconstructholo.py
+++ /dev/null
@@ -1,24 +0,0 @@
-#%%
-import numpy as np
-import NanoImagingPack as nip
-import matplotlib.pyplot as plt
-import tifffile as tif
-#%%
-
-mImage = tif.imread('C://Users//T490//Documents//ImSwitch//imswitch//ImSwitch//recordings//2024-03-04//13h39m36s_snap_WidefieldCamera.tiff')
-
-mImageFT = nip.ft(mImage)
-
-plt.imshow(np.log(1+np.abs(mImageFT))), plt.show()
-
-
-mCenter = (454,2242)
-mSize = 300
-mImageFTCrop = nip.extract(mImageFT, (mSize,mSize), mCenter, checkComplex=False)
-mHolo = nip.ift(mImageFTCrop)
-
-plt.figure(1);plt.imshow(np.abs(mHolo)); plt.show()
-plt.figure(2);plt.imshow(np.angle(mHolo)); plt.show()
-
-
-plt.imshow(np.log(1+np.abs(mImageFTCrop))), plt.show()
\ No newline at end of file
diff --git a/scripts/setlaser.py b/scripts/setlaser.py
deleted file mode 100644
index 26e46a3..0000000
--- a/scripts/setlaser.py
+++ /dev/null
@@ -1,4 +0,0 @@
-
-laserName=api.imcontrol.getLaserNames()[0]
-print(laserName)
-api.imcontrol.setLaserActive(laserName, True)
\ No newline at end of file
diff --git a/scripts/simseries.py b/scripts/simseries.py
deleted file mode 100644
index 81c4946..0000000
--- a/scripts/simseries.py
+++ /dev/null
@@ -1,8 +0,0 @@
-mainWindow.setCurrentModule('imcontrol')
-import time
-for i in range(10):
-	print(i)
-	time.sleep(1)
-	api.imcontrol.updateDisplayImageImageFastAPISIM(i%8, "192.168.137.154", "8000")
-	time.sleep(.1)
-	api.imcontrol.snapImage() 
\ No newline at end of file
diff --git a/scripts/takeimages.py b/scripts/takeimages.py
deleted file mode 100644
index 9deb7d1..0000000
--- a/scripts/takeimages.py
+++ /dev/null
@@ -1,6 +0,0 @@
-mainWindow.setCurrentModule('imcontrol')
-import time
-time.sleep(1)
-for i in range(200):
-	api.imcontrol.snapImage() 
-	print(i)
\ No newline at end of file
diff --git a/scripts/testAbsolutePosition.py b/scripts/testAbsolutePosition.py
deleted file mode 100644
index acf48d7..0000000
--- a/scripts/testAbsolutePosition.py
+++ /dev/null
@@ -1,23 +0,0 @@
-mainWindow.setCurrentModule('imcontrol')
-
-positionerName = api.imcontrol.getPositionerNames()[0]
-positionsStart = api.imcontrol.getPositionerPositions()
-posZstart = positionsStart["ESP32Stage"]["Z"]
-print(posZstart)
-
-# 
-dz = 20
-tPause = 20
-for i in range(5):
-
-	api.imcontrol.movePositioner(positionerName, "Z", posZstart + 100, True, True)
-	positions = api.imcontrol.getPositionerPositions()
-	posZinit = positions["ESP32Stage"]["Z"]
-	print(posZinit)
-
-	api.imcontrol.movePositioner(positionerName, "Z", posZstart -100, True, True)	
-	positions = api.imcontrol.getPositionerPositions()
-	posZinit = positions["ESP32Stage"]["Z"]
-	print(posZinit)
-
-api.imcontrol.movePositioner(positionerName, "Z", posZstart, True, True)	
diff --git a/scripts/testnotebook.ipynb b/scripts/testnotebook.ipynb
deleted file mode 100644
index f1af2da..0000000
--- a/scripts/testnotebook.ipynb
+++ /dev/null
@@ -1,157 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "source": [
-    "import numpy as np\n",
-    "import NanoImagingPack as nip\n",
-    "import matplotlib.pyplot as plt\n",
-    "import tifffile as tif"
-   ],
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "No module named 'javabridge'\n",
-      "Problem setting classpath. Switching to conventional viewer by setting __DEFAULTS__['IMG_VIEWER'] = 'NIP_VIEW' \n"
-     ]
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "source": [
-    "mImage = tif.imread('C://Users//T490//Documents//ImSwitch//imswitch//ImSwitch//recordings//2024-03-01//16h10m49s_snap_WidefieldCamera.tiff')\n",
-    "\n",
-    ""
-   ],
-   "outputs": [],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "source": [
-    "mImage"
-   ],
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "array([[32, 26, 31, ..., 15, 17, 17],\n",
-       "       [49, 42, 43, ..., 30, 25, 22],\n",
-       "       [54, 48, 54, ..., 39, 43, 45],\n",
-       "       ...,\n",
-       "       [30, 31, 32, ..., 37, 34, 28],\n",
-       "       [23, 23, 22, ..., 42, 39, 36],\n",
-       "       [13, 13, 14, ..., 17, 19, 20]], dtype=uint8)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 3
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "source": [
-    "mImage = tif.imread('C://Users//T490//Documents//ImSwitch//imswitch//ImSwitch//recordings//2024-03-01//16h10m49s_snap_WidefieldCamera.tiff')\n",
-    "mImageFT = nip.ft(mImage)\n",
-    "mCenter = (470,1571)\n",
-    "mSize = 500\n",
-    "mImageFTCrop = nip.extract(mImageFT, (mSize,mSize), mCenter, checkComplex=False)\n",
-    "mHolo = nip.ift(mImageFTCrop)\n",
-    "\n",
-    "plt.figure(1);plt.imshow(np.abs(mHolo)); plt.show()\n",
-    "plt.figure(2);plt.imshow(np.angle(mHolo)); plt.show()\n",
-    "\n",
-    "\n",
-    "plt.imshow(np.log(1+np.abs(mImageFTCrop))), plt.show()"
-   ],
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "(<matplotlib.image.AxesImage at 0x216e6178310>, None)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 4
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "source": [
-    "import napari "
-   ],
-   "outputs": [],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "source": [
-    "viewer = napari.Viewer()"
-   ],
-   "outputs": [],
-   "metadata": {}
-  }
- ],
- "nbformat": 4,
- "nbformat_minor": 2,
- "metadata": {
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": 3
-  }
- }
-}
\ No newline at end of file
diff --git a/scripts/timelapse_autofocus_test.py b/scripts/timelapse_autofocus_test.py
deleted file mode 100644
index c3205ab..0000000
--- a/scripts/timelapse_autofocus_test.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import numpy as np
-import time
-import numpy as np
-import scipy.ndimage as ndi
-
-mainWindow.setCurrentModule('imcontrol')
-
-ledName = "LED"
-laserNameB = "488 Laser"
-
-laserNameR = "635 Laser"
-
-iiter = 0
-tperiode=0.1 #minuten
-isautofocus=False
-
-
-def cropCenter(marray, crop_size=512):
-	center_x, center_y = marray.shape[1] // 2, marray.shape[0] // 2
-
-	# Calculate the starting and ending indices for cropping
-	x_start = center_x - crop_size // 2
-	x_end = x_start + crop_size
-	y_start = center_y - crop_size // 2
-	y_end = y_start + crop_size
-
-	# Crop the center region
-	return marray[y_start:y_end, x_start:x_end]
-
-allfocusvals = []
-while True:
-	print(iiter)
-	api.imcontrol.setLaserActive(laserNameB, True)
-	time.sleep(.3)
-	mImage = api.imcontrol.snapImage(True, False)
-	api.imcontrol.setLaserActive(laserNameB, False)
-	
-	# 2 Gaussian filter the image, to remove noise
-	mImage = cropCenter(mImage, crop_size=1024)
-	# img_norm = img-np.min(img)
-	# img_norm = img_norm/np.mean(img_norm)
-	imagearraygf = ndi.filters.gaussian_filter(mImage, 3)
-
-	# 3 compute focus metric
-	focusquality = np.mean(ndi.filters.laplace(imagearraygf))
-	allfocusvals.append(focusquality)
-	
-	print(focusquality)
-			
-	time.sleep(tperiode*60)
-	iiter +=1
-	if iiter >120:
-		break
-	
diff --git a/scripts/timelapse_led.py b/scripts/timelapse_led.py
deleted file mode 100644
index 088d777..0000000
--- a/scripts/timelapse_led.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-ledName = "LED"
-laserNameB = "488 Laser"
-
-laserNameR = "635 Laser"
-
-iiter = 0
-tperiode=0.5 #minuten
-isautofocus=False
-
-
-while True:
-	print(iiter)
-	api.imcontrol.setLaserActive(laserNameB, True)
-	time.sleep(.3)
-	api.imcontrol.snapImage()
-	api.imcontrol.setLaserActive(laserNameB, False)
-	time.sleep(1)
-	api.imcontrol.setLaserActive(laserNameR, True)
-	time.sleep(.3)
-	api.imcontrol.snapImage()
-	api.imcontrol.setLaserActive(laserNameR, False)
-		
-	time.sleep(tperiode*60)
-	iiter +=1
-	if iiter >120:
-		break
-	
diff --git a/scripts/uc2_move_positoinlist.py b/scripts/uc2_move_positoinlist.py
deleted file mode 100644
index e4ca76b..0000000
--- a/scripts/uc2_move_positoinlist.py
+++ /dev/null
@@ -1,112 +0,0 @@
-import numpy as np
-import time
-import threading
-import os
-import cv2
-import tifffile as tif
-#mainWindow.setCurrentModule('imcontrol')
-
-api.imcontrol.enalbeMotors(None, False)
-# x,y,z
-#positions = [(54000, 6500, -200),
-#				(54000, 7250, -200),
-#				(55000, 7250, -200),
-#				(55000, 6500, -200),
-#				(59750, 6500, 0),
-#				(59750, 4600, 0),
-#				(60500, 4600, 0),
-#				(60500, 3600, 0),
-#				(62500, 3600, 0),
-#				(62500, 5600, 0),
-#				(63000, 5600, 0)]
-
-positionerName = api.imcontrol.getPositionerNames()[0]
-print(api.imcontrol.getPositionerPositions())
-api.imcontrol.setPositionerSpeed(positionerName, "X", 20000)
-api.imcontrol.setPositionerSpeed(positionerName, "Y", 20000)
-api.imcontrol.setPositionerSpeed(positionerName, "Z", 20000)
-
-#api.imcontrol.homeAxis(positionerName, "X")
-#api.imcontrol.homeAxis(positionerName, "Y")
-#time.sleep(15)
-# move to inital position
-
-mPixelSize = 0.327 # mum
-mFrameShape = api.imcontrol.snapImage(True, False).shape
-
-xDim = mFrameShape[1]*mPixelSize
-yDim = mFrameShape[0]*mPixelSize
-mOverlap = 0.9 # 90% overlap at  the edges
-
-print(xDim)
-print(yDim)
-mPath = r"C:\\Users\\T490\\Documents\\Anabel\\Bachelorarbeit\\Ashlar\\Raster\\"
-LEDName = "LED"
-api.imcontrol.setLaserValue(LEDName, 1023)
-api.imcontrol.setLaserActive(LEDName, True)
-time.sleep(0.5)
-#a record dummy frame
-ix=iy=0
-mPos = (ix*xDim*mOverlap+58000,
- iy*yDim*mOverlap+23000)
-api.imcontrol.movePositioner(positionerName, "XY", mPos, True, True)
-mFrame = api.imcontrol.snapImage(True, False)
-
-#raster
-iiter = 0
-for ix in range(2):
-	for iy in range(3):
-		mPos = (ix*xDim*mOverlap+58000,
-		 iy*yDim*mOverlap+23000)
-		api.imcontrol.movePositioner(positionerName, "XY", mPos, True, True)
-		time.sleep(0.5)
-		# api.imcontrol.snapImageToPath(str(ix)+"_"+str(iy))
-		mFrame = api.imcontrol.snapImage(True, False)
-		tif.imsave(mPath+str(iiter)+"_("+str(int(mPos[0]))+", "+str(int(mPos[1]))+")"+".tif", mFrame)
-		iiter +=1
-
-
-#
-#def doScanning():
-	#iiter = 0
-	#while 1:
-		#iPos = 0
-		#for position in positions:
-			#print(position)
-			#posX = position[0]
-			#api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
-			# Y
-			#posY = position[1]
-			#api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
-			#Z
-			#posZ = position[2]
-			#api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
-
-			#time.sleep(1)
-
-			#api.imcontrol.snapImageToPath(str(iPos)+"_posscreening")
-			#iPos +=1
-		#time.sleep(60)
-		#iiter +=1
-		#print(iiter)
-
-#doScanning()
-
-
-#labyrinth ablaufen
-#def doScanning():
-    #iPos = 0
-    #for position in positions:
-    #    posX, posY, posZ = position
-        
-    #    api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
-    #    api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
-    #    api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
-
-    #    time.sleep(1)
-
-    #    api.imcontrol.snapImageToPath(str(iPos)+"_posscreening")
-    #    iPos += 1
-	#time.sleep(60)
-
-#doScanning()
diff --git a/scripts/uc2_timelpase_multiplexypositoins.py b/scripts/uc2_timelpase_multiplexypositoins.py
deleted file mode 100644
index 4a550d2..0000000
--- a/scripts/uc2_timelpase_multiplexypositoins.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import numpy as np
-import time
-
-mainWindow.setCurrentModule('imcontrol')
-
-zpos = 7500
-# x,y,z
-maxX = 14000
-minX = -192000
-minY = -80000
-maxY = 240000
-positions = [	(maxX,maxY,zpos),
-				(maxX,minY,zpos),
-				(minY,minY,zpos),
-				(minY,maxY,zpos)]
-				
-positionerName = api.imcontrol.getPositionerNames()[0]
-print(api.imcontrol.getPositionerPositions())
-
-# move to inital position
-# X
-position = positions[0]
-posX = position[0]
-api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
-# Y
-posY = position[1]
-api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
-#Z
-posZ = position[2]
-api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
-
-
-#
-print("Start scanning")
-
-iiter = 0
-while 1:
-	for position in positions:
-		print(position)
-		posX = position[0]
-		api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
-		# Y
-		posY = position[1]
-		api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
-		#Z
-		posZ = position[2]
-		api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
-
-		time.sleep(1)
-		
-		api.imcontrol.snapImage() 
-	time.sleep(2*60)
-	iiter +=1
-	print(iiter)
-	
\ No newline at end of file
diff --git a/temperatureController/temperature.csv b/temperatureController/temperature.csv
deleted file mode 100644
index 4c3acc9..0000000
--- a/temperatureController/temperature.csv
+++ /dev/null
@@ -1,28678 +0,0 @@
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diff --git a/uc2_configs/pindefUC2Standalon1.json b/uc2_configs/pindefUC2Standalon1.json
deleted file mode 100644
index 3f9cc60..0000000
--- a/uc2_configs/pindefUC2Standalon1.json
+++ /dev/null
@@ -1,46 +0,0 @@
-{   "motorconfig":[
-      {
-         "axis":"A",
-         "stepperid":0,
-         "dir":21,
-         "step":22,
-         "enable":13
-      },
-      {
-         "axis":"X",
-         "stepperid":1,
-         "dir":33,
-         "step":2,
-         "enable":13
-      },
-      {
-         "axis":"Y",
-         "stepperid":2,
-         "dir":16,
-         "step":27,
-         "enable":13
-      },
-      {
-         "axis":"Z",
-         "dir":14,
-         "step":12,
-         "enable":13
-      }
-   ],
-   "ledconfig":{
-      "ledArrNum":17,
-      "ledArrPin":16
-   },
-   "laserconfig":{
-      "LASER1pin":4,
-      "LASER2pin":15,
-      "LASER3pin":0
-   },
-   "stateconfig":{
-      "identifier_name":"UC2_Feather",
-      "identifier_id":"V1.2",
-      "identifier_date":"Nov  7 202212:52:14",
-      "identifier_author":"BD",
-      "IDENTIFIER_NAME":""
-   }
-}
\ No newline at end of file
diff --git a/uc2_configs/pindefUC2Standalon2.json b/uc2_configs/pindefUC2Standalon2.json
deleted file mode 100644
index 87f3a46..0000000
--- a/uc2_configs/pindefUC2Standalon2.json
+++ /dev/null
@@ -1,46 +0,0 @@
-{   "motorconfig":[
-      {
-         "axis":"A",
-         "stepperid":0,
-         "dir":21,
-         "step":22,
-         "enable":13
-      },
-      {
-         "axis":"X",
-         "stepperid":1,
-         "dir":33,
-         "step":2,
-         "enable":13
-      },
-      {
-         "axis":"Y",
-         "stepperid":2,
-         "dir":16,
-         "step":27,
-         "enable":13
-      },
-      {
-         "axis":"Z",
-         "dir":14,
-         "step":12,
-         "enable":13
-      }
-   ],
-   "ledconfig":{
-      "ledArrNum":16,
-      "ledArrPin":32
-   },
-   "laserconfig":{
-      "LASER1pin":17,
-      "LASER2pin":4,
-      "LASER3pin":15
-   },
-   "stateconfig":{
-      "identifier_name":"UC2_Feather",
-      "identifier_id":"V1.2",
-      "identifier_date":"Nov  7 202212:52:14",
-      "identifier_author":"BD",
-      "IDENTIFIER_NAME":""
-   }
-}
\ No newline at end of file
diff --git a/uc2_configs/pindefWemos.json b/uc2_configs/pindefWemos.json
deleted file mode 100644
index 581d275..0000000
--- a/uc2_configs/pindefWemos.json
+++ /dev/null
@@ -1,47 +0,0 @@
-{
-   "motorconfig":[
-      {
-         "axis":"A",
-         "stepperid":0,
-         "dir":0,
-         "step":0,
-         "enable":12
-      },
-      {
-         "axis":"X",
-         "stepperid":1,
-         "dir":16,
-         "step":26,
-         "enable":12
-      },
-      {
-         "axis":"Y",
-         "stepperid":2,
-         "dir":27,
-         "step":25,
-         "enable":12
-      },
-      {
-         "axis":"Z",
-         "dir":14,
-         "step":17,
-         "enable":12
-      }
-   ],
-   "ledconfig":{
-      "ledArrNum":25,
-      "ledArrPin":4
-   },
-   "laserconfig":{
-      "LASER1pin":19,
-      "LASER2pin":18,
-      "LASER3pin":0
-   },
-   "stateconfig":{
-      "identifier_name":"UC2_Feather",
-      "identifier_id":"V1.2",
-      "identifier_date":"Nov  7 202212:52:14",
-      "identifier_author":"BD",
-      "IDENTIFIER_NAME":""
-   }
-}
\ No newline at end of file

From dd8a50feafcb09d624deb69854939f1b8d5cf6a4 Mon Sep 17 00:00:00 2001
From: beniroquai <bene.d@gmx.de>
Date: Thu, 8 Aug 2024 11:59:23 +0200
Subject: [PATCH 3/5] Latest version

---
 .DS_Store                                     | Bin 14340 -> 12292 bytes
 flowStopController/config.json                |   3 +-
 imcontrol_setups/example_histo_daheng.json    | 213 +++++++++++++
 imcontrol_setups/example_monalisa.json        | 209 ++++++++++++
 imcontrol_setups/example_sted.json            | 255 +++++++++++++++
 imcontrol_setups/example_uc2.json             | 213 +++++++++++++
 .../example_uc2_lightsheethik.json            | 183 +++++++++++
 .../example_virtual_microscope.json           | 139 ++++++++
 imcontrol_setups/example_xiao.json            |  36 +++
 imcontrol_slm/info_glyc.json                  |  40 +++
 imcontrol_slm/info_oil.json                   |  40 +++
 imnotebook/StageCalibration.ipynb             | 301 ++++++++++++++++++
 scripts/Uc2_positionlist.py                   |  28 ++
 scripts/example_import.py                     |  25 ++
 scripts/example_imported.py                   |  25 ++
 scripts/example_record.py                     |  48 +++
 scripts/uc2_move_positoinlist.py              | 111 +++++++
 17 files changed, 1868 insertions(+), 1 deletion(-)
 create mode 100644 imcontrol_setups/example_histo_daheng.json
 create mode 100644 imcontrol_setups/example_monalisa.json
 create mode 100644 imcontrol_setups/example_sted.json
 create mode 100644 imcontrol_setups/example_uc2.json
 create mode 100644 imcontrol_setups/example_uc2_lightsheethik.json
 create mode 100644 imcontrol_setups/example_virtual_microscope.json
 create mode 100644 imcontrol_setups/example_xiao.json
 create mode 100644 imcontrol_slm/info_glyc.json
 create mode 100644 imcontrol_slm/info_oil.json
 create mode 100644 imnotebook/StageCalibration.ipynb
 create mode 100644 scripts/Uc2_positionlist.py
 create mode 100644 scripts/example_import.py
 create mode 100644 scripts/example_imported.py
 create mode 100644 scripts/example_record.py
 create mode 100644 scripts/uc2_move_positoinlist.py

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diff --git a/flowStopController/config.json b/flowStopController/config.json
index 7eac631..711c60a 100644
--- a/flowStopController/config.json
+++ b/flowStopController/config.json
@@ -8,5 +8,6 @@
     "defaultFileFormat": "JPG",
     "defaultAxisFlow": "A",
     "defaultAxisFocus": "Z",
-    "defaultDelayTimeAfterRestart": 1
+    "defaultDelayTimeAfterRestart": 1,
+    "defaultIsRecordVideo": true
 }
\ No newline at end of file
diff --git a/imcontrol_setups/example_histo_daheng.json b/imcontrol_setups/example_histo_daheng.json
new file mode 100644
index 0000000..a3e91b7
--- /dev/null
+++ b/imcontrol_setups/example_histo_daheng.json
@@ -0,0 +1,213 @@
+{
+    "positioners":{
+       "ESP32Stage":{
+          "managerName":"ESP32StageManager",
+          "managerProperties":{
+             "rs232device":"ESP32",
+             "isEnable":true,
+             "enableauto":false,
+             "stepsizeX":-0.3125,
+             "stepsizeY":-0.3125,
+             "stepsizeZ":0.3125,
+             "homeSpeedX":15000,
+             "homeSpeedY":15000,
+             "homeSpeedZ":15000,
+             "homeEndstoppolarityX":0,
+             "homeEndstoppolarityY":0,
+             "isDualaxis":true,
+             "homeDirectionX":1,
+             "backlashX":15,
+             "backlashY":40,
+             "homeDirectionY":1,
+             "homeDirectionZ":0,
+             "homeXenabled":1,
+             "homeYenabled":1,
+             "homeZenabled":0,
+             "initialSpeed":{
+                "X":25000,
+                "Y":25000,
+                "Z":25000,
+                "A":25000
+             }
+          },
+          "axes":[
+             "X",
+             "Y",
+             "Z",
+             "A"
+          ],
+          "forScanning":true,
+          "forPositioning":true
+       }
+    },
+    "rs232devices":{
+       "ESP32":{
+          "managerName":"ESP32Manager",
+          "managerProperties":{
+             "host_":"192.168.43.129",
+             "serialport":"COM3",
+             "debug":1
+          }
+       }
+    },
+    "lasers":{
+       "Laser 532":{
+          "analogChannel":null,
+          "digitalLine":null,
+          "managerName":"ESP32LEDLaserManager",
+          "managerProperties":{
+             "rs232device":"ESP32",
+             "channel_index":1
+          },
+          "wavelength":532,
+          "valueRangeMin":0,
+          "valueRangeMax":1023
+       },
+       "LED":{
+          "analogChannel":null,
+          "digitalLine":null,
+          "managerName":"ESP32LEDLaserManager",
+          "managerProperties":{
+             "rs232device":"ESP32",
+             "channel_index":2,
+             "filter_change":false,
+             "laser_despeckle_period":10,
+             "laser_despeckle_amplitude":0
+          },
+          "wavelength":488,
+          "valueRangeMin":0,
+          "valueRangeMax":1024
+       },
+       "LED Ring":{
+          "analogChannel":null,
+          "digitalLine":null,
+          "managerName":"ESP32LEDLaserManager",
+          "managerProperties":{
+             "rs232device":"ESP32",
+             "channel_index":"LED",
+             "filter_change":false,
+             "laser_despeckle_period":10,
+             "laser_despeckle_amplitude":0
+          },
+          "wavelength":635,
+          "valueRangeMin":0,
+          "valueRangeMax":1024
+       }
+    },
+    "detectors":{
+       "WidefieldCamera":{
+          "ExtPackage":"imswitch_det_webcam",
+          "analogChannel":null,
+          "digitalLine":null,
+          "managerName":"GXPIPYManager",
+          "managerProperties":{
+             "cameraListIndex":1,
+             "cameraEffPixelsize":0.45,
+             "gxipycam":{
+                "exposure":20,
+                "gain":0,
+                "blacklevel":10,
+                "image_width":1000,
+                "image_height":1000
+             }
+          },
+          "forAcquisition":true,
+          "forFocusLock":true
+       }
+    },
+    "rois":{
+       "Full chip":{
+          "x":600,
+          "y":600,
+          "w":1200,
+          "h":1200
+       }
+    },
+    "HistoScan":{
+       "PreviewCamera1":"ESP32Cam"
+    },
+    "autofocus":{
+       "camera":"WidefieldCamera",
+       "positioner":"ESP32Stage",
+       "updateFreq":10,
+       "frameCropx":780,
+       "frameCropy":400,
+       "frameCropw":500,
+       "frameCroph":100
+    },
+    "mct":{
+       "monitorIdx":2,
+       "width":1080,
+       "height":1920,
+       "wavelength":0,
+       "pixelSize":0,
+       "angleMount":0,
+       "patternsDirWin":"C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
+       "patternsDir":"/users/bene/ImSwitchConfig/imcontrol_sim/488"
+    },
+    "dpc":{
+       "wavelength":0.53,
+       "pixelsize":0.2,
+       "NA":0.3,
+       "NAi":0.3,
+       "n":1.0,
+       "rotations":[
+          0,
+          180,
+          90,
+          270
+       ]
+    },
+    "webrtc":{
+       
+    },
+    "PixelCalibration":{
+       
+    },
+    "focusLock":{
+       "camera":"WidefieldCamera",
+       "positioner":"ESP32StageManager",
+       "updateFreq":4,
+       "frameCropx":0,
+       "frameCropy":0,
+       "frameCropw":0,
+       "frameCroph":0
+    },
+    "LEDMatrixs":{
+       "ESP32 LEDMatrix":{
+          "analogChannel":null,
+          "digitalLine":null,
+          "managerName":"ESP32LEDMatrixManager",
+          "managerProperties":{
+             "rs232device":"ESP32",
+             "Nx":4,
+             "Ny":4
+          }
+       }
+    },
+    "availableWidgets":[
+       "Settings",
+       "View",
+       "Recording",
+       "Image",
+       "Laser",
+       "Positioner",
+       "Autofocus",
+       "MCT",
+       "UC2Config",
+       "ImSwitchServer",
+       "PixelCalibration",
+       "HistoScan",
+       "Hypha",
+       "LEDMatrix",
+       "Joystick",
+       "ROIScan"
+    ],
+    "nonAvailableWidgets":[
+       "STORMRecon",
+       "DPC",
+       "FocusLock",
+       "HistoScan",
+       "FocusLock"
+    ]
+ }
\ No newline at end of file
diff --git a/imcontrol_setups/example_monalisa.json b/imcontrol_setups/example_monalisa.json
new file mode 100644
index 0000000..e0c3857
--- /dev/null
+++ b/imcontrol_setups/example_monalisa.json
@@ -0,0 +1,209 @@
+{
+    "detectors": {
+        "Green": {
+            "analogChannel": null,
+            "digitalLine": 4,
+            "managerName": "HamamatsuManager",
+            "managerProperties": {
+                "cameraListIndex": 0,
+                "hamamatsu": {
+                    "readout_speed": 3,
+                    "trigger_global_exposure": 5,
+                    "trigger_active": 2,
+                    "trigger_polarity": 2,
+                    "exposure_time": 0.01,
+                    "trigger_source": 1,
+                    "subarray_hpos": 0,
+                    "subarray_vpos": 0,
+                    "subarray_hsize": 2048,
+                    "subarray_vsize": 2048
+                }
+            },
+            "forAcquisition": true
+        },
+        "Red": {
+            "analogChannel": null,
+            "digitalLine": 5,
+            "managerName": "HamamatsuManager",
+            "managerProperties": {
+                "cameraListIndex": 1,
+                "hamamatsu": {
+                    "readout_speed": 3,
+                    "trigger_global_exposure": 5,
+                    "trigger_active": 2,
+                    "trigger_polarity": 2,
+                    "exposure_time": 0.01,
+                    "trigger_source": 1,
+                    "subarray_hpos": 0,
+                    "subarray_vpos": 0,
+                    "subarray_hsize": 2048,
+                    "subarray_vsize": 2048
+                }
+            },
+            "forAcquisition": true
+        }
+    },
+    "lasers": {
+        "488 (OFF)": {
+            "analogChannel": null,
+            "digitalLine": 3,
+            "managerName": "CoboltLaserManager",
+            "managerProperties": {
+                "digitalDriver": "cobolt.cobolt0601.Cobolt0601_f2",
+                "digitalPorts": [
+                    "COM12"
+                ]
+            },
+            "wavelength": 488,
+            "valueRangeMin": 0,
+            "valueRangeMax": 200
+        },
+        "488 (EXC)": {
+            "analogChannel": null,
+            "digitalLine": 1,
+            "managerName": "CoboltLaserManager",
+            "managerProperties": {
+                "digitalDriver": "cobolt.cobolt0601.Cobolt0601_f2",
+                "digitalPorts": [
+                    "COM4"
+                ]
+            },
+            "wavelength": 488,
+            "valueRangeMin": 0,
+            "valueRangeMax": 200
+        },
+        "405 (ON)": {
+            "analogChannel": null,
+            "digitalLine": 2,
+            "managerName": "CoboltLaserManager",
+            "managerProperties": {
+                "digitalDriver": "cobolt.cobolt0601.Cobolt0601_f2",
+                "digitalPorts": [
+                    "COM11"
+                ]
+            },
+            "wavelength": 405,
+            "valueRangeMin": 0,
+            "valueRangeMax": 200
+        },
+        "592 (EXC)": {
+            "analogChannel": 3,
+            "digitalLine": 0,
+            "managerName": "NidaqLaserManager",
+            "managerProperties": {},
+            "wavelength": 592,
+            "valueRangeMin": 0,
+            "valueRangeMax": 1
+        },
+        "592 (OFF)": {
+            "analogChannel": null,
+            "digitalLine": 6,
+            "managerName": "NidaqLaserManager",
+            "managerProperties": {},
+            "wavelength": 592,
+            "valueRangeMin": null,
+            "valueRangeMax": null
+        }
+    },
+    "positioners": {
+        "X": {
+            "analogChannel": 0,
+            "digitalLine": null,
+            "managerName": "NidaqPositionerManager",
+            "managerProperties": {
+                "conversionFactor": 1.75,
+                "minVolt": 0,
+                "maxVolt": 10
+            },
+            "axes": ["X"],
+            "forScanning": true,
+            "forPositioning": true
+        },
+        "Y": {
+            "analogChannel": 1,
+            "digitalLine": null,
+            "managerName": "NidaqPositionerManager",
+            "managerProperties": {
+                "conversionFactor": 1.75,
+                "minVolt": 0,
+                "maxVolt": 10
+            },
+            "axes": ["Y"],
+            "forScanning": true,
+            "forPositioning": true
+        },
+        "Z": {
+            "analogChannel": 2,
+            "digitalLine": null,
+            "managerName": "NidaqPositionerManager",
+            "managerProperties": {
+                "conversionFactor": 1.75,
+                "minVolt": 0,
+                "maxVolt": 10
+            },
+            "axes": ["Z"],
+            "forScanning": true,
+            "forPositioning": true
+        }
+    },
+    "scan": {
+        "scanDesigner": "BetaScanDesigner",
+        "scanDesignerParams": {
+            "return_time": 0.01
+        },
+        "TTLCycleDesigner": "BetaTTLCycleDesigner",
+        "TTLCycleDesignerParams": {},
+        "sampleRate": 100000
+    },
+    "nidaq": {
+        "timerCounterChannel": null,
+        "startTrigger": false
+    },
+    "rois": {
+        "Imaging_green": {
+            "x": 283,
+            "y": 1011,
+            "w": 564,
+            "h": 564
+        },
+        "FastROI_green": {
+            "x": 580,
+            "y": 1163,
+            "w": 16,
+            "h": 249
+        },
+        "WideField_green": {
+            "x": 549,
+            "y": 1260,
+            "w": 90,
+            "h": 90
+        },
+        "ROI_test": {
+            "x": 706,
+            "y": 570,
+            "w": 839,
+            "h": 839
+        },
+        "test": {
+            "x": 543,
+            "y": 1086,
+            "w": 520,
+            "h": 520
+        }
+    },
+    "availableWidgets": [
+        "Settings",
+        "View",
+        "Recording",
+        "Image",
+        "Laser",
+        "Positioner",
+        "Scan",
+        "AlignXY",
+        "AlignAverage",
+        "AlignmentLine",
+        "BeadRec",
+        "FFT",
+        "ULenses"
+    ]
+}
diff --git a/imcontrol_setups/example_sted.json b/imcontrol_setups/example_sted.json
new file mode 100644
index 0000000..0b70973
--- /dev/null
+++ b/imcontrol_setups/example_sted.json
@@ -0,0 +1,255 @@
+{
+  "detectors": {
+    "APDred": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "APDManager",
+      "managerProperties": {
+        "ctrInputLine": 0,
+        "terminal": "PFI0",
+        "cameraListIndex": null
+      },
+      "forAcquisition": true
+    },
+    "APDgreen": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "APDManager",
+      "managerProperties": {
+        "ctrInputLine": 1,
+        "terminal": "PFI12",
+        "cameraListIndex": null
+      },
+      "forAcquisition": true
+    },
+    "WidefieldCamera": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "TISManager",
+      "managerProperties": {
+        "cameraListIndex": 1,
+        "tis": {
+          "exposure": 0,
+          "gain": 0,
+          "brightness": 0,
+          "image_width": 2448,
+          "image_height": 2048
+        }
+      },
+      "forAcquisition": true
+    },
+    "FocusLockCamera": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "TISManager",
+      "managerProperties": {
+        "cameraListIndex": 0,
+        "tis": {
+          "exposure": 0,
+          "gain": 0,
+          "brightness": 0,
+          "image_width": 1280,
+          "image_height": 1024
+        }
+      },
+      "forFocusLock": true
+    }
+  },
+  "lasers": {
+    "561": {
+      "analogChannel": null,
+      "digitalLine": 1,
+      "managerName": "NidaqLaserManager",
+      "managerProperties": {
+      },
+      "wavelength": 561,
+      "valueRangeMin": 0,
+      "valueRangeMax": 1,
+      "valueRangeStep": 1
+    },
+    "640": {
+      "analogChannel": null,
+      "digitalLine": 2,
+      "managerName": "NidaqLaserManager",
+      "managerProperties": {
+      },
+      "wavelength": 640,
+      "valueRangeMin": 0,
+      "valueRangeMax": 1,
+      "valueRangeStep": 1
+    },
+    "561AOTF": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "AAAOTFLaserManager",
+      "managerProperties": {
+          "rs232device": "aaaotf",
+          "channel": 1
+      },
+      "wavelength": 561,
+      "valueRangeMin": 0,
+      "valueRangeMax": 1023,
+      "valueRangeStep": 1
+    },
+    "640AOTF": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "AAAOTFLaserManager",
+      "managerProperties": {
+          "rs232device": "aaaotf",
+          "channel": 2
+      },
+      "wavelength": 640,
+      "valueRangeMin": 0,
+      "valueRangeMax": 1023,
+      "valueRangeStep": 1
+    },
+    "775AOM": {
+      "analogChannel": 3,
+      "digitalLine": 4,
+      "managerName": "NidaqLaserManager",
+      "managerProperties": {
+      },
+      "wavelength": 775,
+      "valueRangeMin": 0,
+      "valueRangeMax": 10,
+      "valueRangeStep": 1
+    }
+  },
+  "positioners": {
+    "ND-GalvoX": {
+      "analogChannel": 0,
+      "digitalLine": null,
+      "managerName": "NidaqPositionerManager",
+      "managerProperties": {
+        "conversionFactor": 17.44,
+        "minVolt": -10,
+        "maxVolt": 10,
+        "vel_max": 1e-1,
+        "acc_max": 1e-4
+      },
+      "axes": ["X"],
+      "forScanning": true
+    },
+    "ND-GalvoY": {
+      "analogChannel": 1,
+      "digitalLine": null,
+      "managerName": "NidaqPositionerManager",
+      "managerProperties": {
+        "conversionFactor": 16.63,
+        "minVolt": -10,
+        "maxVolt": 10,
+        "vel_max": 1e-1,
+        "acc_max": 1e-4
+      },
+      "axes": ["Y"],
+      "forScanning": true
+    },
+    "ND-PiezoZ": {
+      "analogChannel": 2,
+      "digitalLine": null,
+      "managerName": "NidaqPositionerManager",
+      "managerProperties": {
+        "conversionFactor": 1.0,
+        "minVolt": 0,
+        "maxVolt": 10,
+        "vel_max": 1000.0,
+        "acc_max": 1000.0
+      },
+      "axes": ["Z"],
+      "forScanning": true
+    },
+    "PiezoZ": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "PiezoconceptZManager",
+      "managerProperties": {
+        "rs232device": "pczpiezo"
+      },
+      "axes": ["Z"],
+      "forPositioning": true
+    }
+  },
+  "rs232devices": {
+    "aaaotf": {
+      "managerName": "RS232Manager",
+      "managerProperties": {
+        "port": "ASRL4::INSTR",
+        "encoding": "ascii",
+        "recv_termination": "\n",
+        "send_termination": "\r \n",
+        "baudrate": 57600,
+        "bytesize": 8,
+        "parity": "none",
+        "stopbits": 1,
+        "rtscts": "false",
+        "dsrdtr": "false",
+        "xonxoff": "false"
+      }
+    },
+    "pczpiezo": {
+      "managerName": "RS232Manager",
+      "managerProperties": {
+        "port": "ASRL5::INSTR",
+        "encoding": "ascii",
+        "recv_termination": "\n",
+        "send_termination": "\n",
+        "baudrate": 115200,
+        "bytesize": 8,
+        "parity": "none",
+        "stopbits": 1,
+        "rtscts": "false",
+        "dsrdtr": "false",
+        "xonxoff": "false"
+      }
+    }
+  },
+  "rois": {
+    "Full chip": {
+      "x": 0,
+      "y": 0,
+      "w": 2448,
+      "h": 2048
+    }
+  },
+  "availableWidgets": [
+    "Settings",
+    "View",
+    "Recording",
+    "Image",
+    "Laser",
+    "Positioner",
+    "Scan",
+    "FocusLock",
+    "SLM",
+    "FFT"
+  ],
+  "scanDefaults": {
+    "defaultScanFile": null
+  },
+  "scan": {
+    "scanDesigner": "GalvoScanDesigner",
+    "scanDesignerParams": {},
+    "TTLCycleDesigner": "PointScanTTLCycleDesigner",
+    "TTLCycleDesignerParams": {},
+    "sampleRate": 100000
+  },
+  "slm": {
+    "monitorIdx": 2,
+    "width": 792,
+    "height": 600,
+    "wavelength": 775,
+    "pixelSize": 0.02,
+    "angleMount": 0.15,
+    "correctionPatternsDir": "E:\\PhD\\SLM\\defcorrpatt\\"
+  },
+  "focusLock": {
+    "camera": "FocusLockCamera",
+    "positioner": "PiezoZ",
+    "updateFreq": 10,
+    "frameCropx": 780,
+    "frameCropy": 400,
+    "frameCropw": 500,
+    "frameCroph": 100
+  }
+}
diff --git a/imcontrol_setups/example_uc2.json b/imcontrol_setups/example_uc2.json
new file mode 100644
index 0000000..de80c4c
--- /dev/null
+++ b/imcontrol_setups/example_uc2.json
@@ -0,0 +1,213 @@
+{
+  "positioners":{
+     "ESP32Stage":{
+        "managerName":"ESP32StageManager",
+        "managerProperties":{
+           "rs232device":"ESP32",
+           "isEnable":true,
+           "enableauto":false,
+           "stepsizeX":-0.3125,
+           "stepsizeY":-0.3125,
+           "stepsizeZ":0.3125,
+           "homeSpeedX":15000,
+           "homeSpeedY":15000,
+           "homeSpeedZ":15000,
+           "homeEndstoppolarityX":0,
+           "homeEndstoppolarityY":0,
+           "isDualaxis":true,
+           "homeDirectionX":1,
+           "backlashX":15,
+           "backlashY":40,
+           "homeDirectionY":1,
+           "homeDirectionZ":0,
+           "homeXenabled":1,
+           "homeYenabled":1,
+           "homeZenabled":0,
+           "initialSpeed":{
+              "X":25000,
+              "Y":25000,
+              "Z":25000,
+              "A":25000
+           }
+        },
+        "axes":[
+           "X",
+           "Y",
+           "Z",
+           "A"
+        ],
+        "forScanning":true,
+        "forPositioning":true
+     }
+  },
+  "rs232devices":{
+     "ESP32":{
+        "managerName":"ESP32Manager",
+        "managerProperties":{
+           "host_":"192.168.43.129",
+           "serialport":"COM3",
+           "debug":1
+        }
+     }
+  },
+  "lasers":{
+     "Laser 532":{
+        "analogChannel":null,
+        "digitalLine":null,
+        "managerName":"ESP32LEDLaserManager",
+        "managerProperties":{
+           "rs232device":"ESP32",
+           "channel_index":1
+        },
+        "wavelength":532,
+        "valueRangeMin":0,
+        "valueRangeMax":1023
+     },
+     "LED":{
+        "analogChannel":null,
+        "digitalLine":null,
+        "managerName":"ESP32LEDLaserManager",
+        "managerProperties":{
+           "rs232device":"ESP32",
+           "channel_index":2,
+           "filter_change":false,
+           "laser_despeckle_period":10,
+           "laser_despeckle_amplitude":0
+        },
+        "wavelength":488,
+        "valueRangeMin":0,
+        "valueRangeMax":1024
+     },
+     "LED Ring":{
+        "analogChannel":null,
+        "digitalLine":null,
+        "managerName":"ESP32LEDLaserManager",
+        "managerProperties":{
+           "rs232device":"ESP32",
+           "channel_index":"LED",
+           "filter_change":false,
+           "laser_despeckle_period":10,
+           "laser_despeckle_amplitude":0
+        },
+        "wavelength":635,
+        "valueRangeMin":0,
+        "valueRangeMax":1024
+     }
+  },
+  "detectors":{
+     "WidefieldCamera":{
+        "ExtPackage":"imswitch_det_webcam",
+        "analogChannel":null,
+        "digitalLine":null,
+        "managerName":"GXPIPYManager",
+        "managerProperties":{
+           "cameraListIndex":1,
+           "cameraEffPixelsize":0.45,
+           "gxipycam":{
+              "exposure":20,
+              "gain":0,
+              "blacklevel":10,
+              "image_width":1000,
+              "image_height":1000
+           }
+        },
+        "forAcquisition":true,
+        "forFocusLock":true
+     }
+  },
+  "rois":{
+     "Full chip":{
+        "x":600,
+        "y":600,
+        "w":1200,
+        "h":1200
+     }
+  },
+  "HistoScan":{
+     "PreviewCamera1":"ESP32Cam"
+  },
+  "autofocus":{
+     "camera":"WidefieldCamera",
+     "positioner":"ESP32Stage",
+     "updateFreq":10,
+     "frameCropx":780,
+     "frameCropy":400,
+     "frameCropw":500,
+     "frameCroph":100
+  },
+  "mct":{
+     "monitorIdx":2,
+     "width":1080,
+     "height":1920,
+     "wavelength":0,
+     "pixelSize":0,
+     "angleMount":0,
+     "patternsDirWin":"C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
+     "patternsDir":"/users/bene/ImSwitchConfig/imcontrol_sim/488"
+  },
+  "dpc":{
+     "wavelength":0.53,
+     "pixelsize":0.2,
+     "NA":0.3,
+     "NAi":0.3,
+     "n":1.0,
+     "rotations":[
+        0,
+        180,
+        90,
+        270
+     ]
+  },
+  "webrtc":{
+     
+  },
+  "PixelCalibration":{
+     
+  },
+  "focusLock":{
+     "camera":"WidefieldCamera",
+     "positioner":"ESP32StageManager",
+     "updateFreq":4,
+     "frameCropx":0,
+     "frameCropy":0,
+     "frameCropw":0,
+     "frameCroph":0
+  },
+  "LEDMatrixs":{
+     "ESP32 LEDMatrix":{
+        "analogChannel":null,
+        "digitalLine":null,
+        "managerName":"ESP32LEDMatrixManager",
+        "managerProperties":{
+           "rs232device":"ESP32",
+           "Nx":4,
+           "Ny":4
+        }
+     }
+  },
+  "availableWidgets":[
+     "Settings",
+     "View",
+     "Recording",
+     "Image",
+     "Laser",
+     "Positioner",
+     "Autofocus",
+     "MCT",
+     "UC2Config",
+     "ImSwitchServer",
+     "PixelCalibration",
+     "HistoScan",
+     "Hypha",
+     "LEDMatrix",
+     "Joystick",
+     "ROIScan"
+  ],
+  "nonAvailableWidgets":[
+     "STORMRecon",
+     "DPC",
+     "FocusLock",
+     "HistoScan",
+     "FocusLock"
+  ]
+}
\ No newline at end of file
diff --git a/imcontrol_setups/example_uc2_lightsheethik.json b/imcontrol_setups/example_uc2_lightsheethik.json
new file mode 100644
index 0000000..177197e
--- /dev/null
+++ b/imcontrol_setups/example_uc2_lightsheethik.json
@@ -0,0 +1,183 @@
+{
+  "positioners": {
+    "ESP32Stage": {
+      "managerName": "ESP32StageManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "enableauto": 0,
+        "isEnable": 1,
+        "homeXenabled": true, 
+        "homeStepsX":10000, 
+        "homeOnStartX": true,
+        "homeEndposReleaseX":5000,
+        "homeYenabled": true, 
+        "homeStepsY":10000, 
+        "homeOnStartY": true,
+        "homeEndposReleaseY":5000,
+        "homeAenabled": true, 
+        "homeStepsA":10000, 
+        "homeOnStarta": true,
+        "homeEndposReleaseA":5000,
+        "stepsizeX": -0.3125,
+        "stepsizeY": -0.3125,
+        "stepsizeZ": 0.3125
+      },
+      "axes": [
+        "X",
+        "Y",
+        "Z",
+        "A"
+      ],
+      "forScanning": true,
+      "forPositioning": true
+    }
+  },
+  "rs232devices": {
+    "ESP32": {
+      "managerName": "ESP32Manager",
+      "managerProperties": {
+        "host_": "192.168.43.129",
+        "serialport_": "COM3",
+        "serialport": "COM3",
+        "baudrate":500000, 
+        "debug":1
+       }
+    }
+  },
+  "lasers": {
+    "488 Laser": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32LEDLaserManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "channel_index":1,
+        "filter_change": false,
+        "laser_despeckle_period": 10,
+        "laser_despeckle_amplitude": 0
+      },
+      "wavelength": 488,
+      "valueRangeMin": 0,
+      "valueRangeMax": 512
+    },
+    "LED Matrix": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32LEDLaserManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "channel_index": "LED",
+        "filter_change": false,
+        "filter_axis": 3,
+        "filter_position": 32000,
+        "filter_position_init": -0
+      },
+      "wavelength": 635,
+      "valueRangeMin": 0,
+      "valueRangeMax": 255
+    }
+  },
+  "detectors": {
+    "WidefieldCamera": {
+        "analogChannel": null,
+        "digitalLine": null,
+        "managerName": "HikCamManager",
+        "managerProperties": {
+            "isRGB": 0,
+            "cameraListIndex": 0,
+            "cameraEffPixelsize": 0.2257,
+            "hikcam": {
+                "exposure": 0,
+                "gain": 0,
+                "blacklevel": 100,
+                "image_width": 1000,
+                "image_height": 1000
+            }
+        },
+        "forAcquisition": true,
+        "forFocusLock": true
+    }
+    },
+  "rois": {
+    "Full chip": {
+      "x": 600,
+      "y": 600,
+      "w": 1200,
+      "h": 1200
+    }
+  },
+  "LEDMatrixs": {
+    "ESP32 LEDMatrix": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32LEDMatrixManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "Nx": 4,
+        "Ny": 4
+      },
+      "wavelength": 488,
+      "valueRangeMin": 0,
+      "valueRangeMax": 32768
+    }
+  },
+  "autofocus": {
+    "camera": "WidefieldCamera",
+    "positioner": "ESP32Stage",
+    "updateFreq": 10,
+    "frameCropx": 780,
+    "frameCropy": 400,
+    "frameCropw": 500,
+    "frameCroph": 100
+  },
+  "uc2Config": {
+    "defaultConfig": "pindefWemos.json",
+    "defaultConfig2": "pindefUC2Standalon2.json",
+    "defaultConfig1": "pindefUC2Standalon.json"
+  },
+  "mct": {
+    "monitorIdx": 2,
+    "width": 1080,
+    "height": 1920,
+    "wavelength": 0,
+    "pixelSize": 0,
+    "angleMount": 0,
+    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
+    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
+  },
+  "dpc": {
+    "wavelength": 0.53,
+    "pixelsize": 0.2,
+    "NA":0.3,
+    "NAi": 0.3,
+    "n": 1.0,
+    "rotations": [0, 180, 90, 270]
+  },
+  "webrtc":{},
+  "PixelCalibration": {},
+  "availableWidgets": [
+    "Settings",
+    "Positioner",
+    "View",
+    "Recording",
+    "Image",
+    "Laser",
+    "UC2Config",
+    "LEDMatrix",
+    "Lightsheet", 
+    "Hypha"
+    ],
+  "nonAvailableWidgets":[
+    "STORMRecon",
+    "LEDMatrix",
+    "Joystick",    
+    "HistoScan", 
+    "ROIScan",
+    "MCT",
+    "ImSwitchServer",
+    "PixelCalibration",
+    "Hypha",
+    "FocusLock",
+    "HistoScan", 
+    "FocusLock"]
+}
diff --git a/imcontrol_setups/example_virtual_microscope.json b/imcontrol_setups/example_virtual_microscope.json
new file mode 100644
index 0000000..91a0271
--- /dev/null
+++ b/imcontrol_setups/example_virtual_microscope.json
@@ -0,0 +1,139 @@
+{
+    "positioners": {
+        "VirtualStage": {
+          "managerNameGRBL": "GRBLStageManager",
+          "managerName": "VirtualStageManager",
+          "managerProperties": {
+            "rs232device": "VirtualMicroscope",
+            "isEnable": true, 
+            "enableauto": false,
+            "isDualaxis": 0,
+            "stepsizeX": 1,
+            "stepsizeY": 1,
+            "stepsizeZ": 1,
+            "stepsizeA": 1,
+            "homeSpeedX": 15000,
+            "homeSpeedY": 15000,
+            "homeSpeedZ": 15000,
+            "homeSpeedA": 15000,
+            "homeDirectionX": 1,
+            "homeDirectionY": 1,
+            "homeDirectionZ": -1,
+            "initialSpeed": {"X": 15000, "Y":  15000,"Z": 15000, "A": 15000}
+          },
+          "axes": [
+            "X",
+            "Y",
+            "Z", 
+            "A"
+          ],
+          "forScanning": true,
+          "forPositioning": true
+        }
+      },
+    "rs232devices": {
+    "VirtualMicroscope": {
+      "managerName": "VirtualMicroscopeManager",
+      "managerProperties": {
+      }
+    }
+  },
+ "lasers": {
+    "LED": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "VirtualLaserManager",
+      "managerProperties": {
+        "rs232device": "VirtualMicroscope",
+        "channel_index": 1
+      },
+      "wavelength": 635,
+      "valueRangeMin": 0,
+      "valueRangeMax": 1023
+    }
+  },
+  "detectors": {
+    "WidefieldCamera": {
+        "analogChannel": null,
+        "digitalLine": null,
+        "managerName": "VirtualCameraManager",
+        "managerProperties": {
+            "isRGB": 0,
+            "cameraListIndex": 0,
+            "cameraEffPixelsize": 0.2257,
+            "virtcam": {
+                "exposure": 0,
+                "gain": 0,
+                "blacklevel": 100,
+                "image_width": 1000,
+                "image_height": 1000
+            }
+        },
+        "forAcquisition": true,
+        "forFocusLock": true
+    }
+    },
+  "rois": {
+    "Full chip": {
+      "x": 600,
+      "y": 600,
+      "w": 1200,
+      "h": 1200
+    }
+  },
+  "fovLock": {
+    "camera": "WidefieldCamera",
+    "positioner": "VirtualStage",
+    "updateFreq": 1, 
+    "piKp":1, 
+    "piKi":1
+    },
+    "sim": {
+      "monitorIdx": 2,
+      "width": 1080,
+      "height": 1920,
+      "wavelength": 0,
+      "pixelSize": 0,
+      "angleMount": 0,
+      "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
+      "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
+    },
+    "dpc": {
+      "wavelength": 0.53,
+      "pixelsize": 0.2,
+      "NA": 0.3,
+      "NAi": 0.3,
+      "n": 1.0,
+      "rotations": [0, 180, 90, 270]
+    },
+  "PixelCalibration": {},
+  "availableWidgets": [
+    "Settings",
+    "View",
+    "Recording",
+    "Image",
+    "Laser",
+    "Positioner",
+    "Autofocus",
+    "MCT",
+    "ROIScan",
+    "HistoScan",
+    "Hypha" 
+  ],
+  "nonAvailableWidgets":[
+    "FocusLock",
+    "SIM", 
+    "DPC",
+    "FOVLock",
+    "Temperature", 
+    "HistoScan",
+    "PixelCalibration", 
+    "Lightsheet", 
+    "WebRTC", 
+    "Flatfield", 
+    "STORMRecon",
+    "DPC",    
+    "ImSwitchServer",
+    "PixelCalibration",
+    "FocusLock"]
+}
\ No newline at end of file
diff --git a/imcontrol_setups/example_xiao.json b/imcontrol_setups/example_xiao.json
new file mode 100644
index 0000000..d531c6b
--- /dev/null
+++ b/imcontrol_setups/example_xiao.json
@@ -0,0 +1,36 @@
+{
+  "detectors": {
+    "WidefieldCamera": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32CamManager",
+      "managerProperties": {
+        "cameraListIndex": 1,
+        "cameraHost": "192.168.4.1",
+        "cameraPort": "80",
+        "esp32cam": {
+          "exposure": 0,
+          "gain": 0,
+          "blacklevel": 100,
+          "image_width": 1000,
+          "image_height": 1000
+        }
+      },
+      "forAcquisition": true
+    }
+  },
+    "rois": {
+      "Full chip": {
+        "x": 600,
+        "y": 600,
+        "w": 1200,
+        "h": 1200
+      }
+    },
+    "availableWidgets": [
+      "Settings",
+      "View",
+      "Recording",
+      "Image"
+    ]
+  }
\ No newline at end of file
diff --git a/imcontrol_slm/info_glyc.json b/imcontrol_slm/info_glyc.json
new file mode 100644
index 0000000..418aebd
--- /dev/null
+++ b/imcontrol_slm/info_glyc.json
@@ -0,0 +1,40 @@
+{
+    "general": {
+        "radius": 80.0,
+        "sigma": 65.0,
+        "rotationAngle": 0.0,
+        "tiltAngle": 0.15
+    },
+    "position": {
+        "left": {
+            "xcenter": 268,
+            "ycenter": 244
+        },
+        "right": {
+            "xcenter": 224,
+            "ycenter": 236
+        }
+    },
+    "aber": {
+        "left": {
+            "tilt": 0.5,
+            "tip": 0.2,
+            "defocus": 0.3,
+            "spherical": 0.2,
+            "verticalComa": 0.1,
+            "horizontalComa": -0.15,
+            "verticalAstigmatism": 0.0,
+            "obliqueAstigmatism": 0.0
+        },
+        "right": {
+            "tilt": 0.0,
+            "tip": 0.0,
+            "defocus": 0.1,
+            "spherical": 0.2,
+            "verticalComa": 0.1,
+            "horizontalComa": 0.0,
+            "verticalAstigmatism": -0.2,
+            "obliqueAstigmatism": 0.1
+        }
+    }
+}
\ No newline at end of file
diff --git a/imcontrol_slm/info_oil.json b/imcontrol_slm/info_oil.json
new file mode 100644
index 0000000..e931de2
--- /dev/null
+++ b/imcontrol_slm/info_oil.json
@@ -0,0 +1,40 @@
+{
+    "general": {
+        "radius": 100.0,
+        "sigma": 65.0,
+        "rotationAngle": 0.0,
+        "tiltAngle": 0.15
+    },
+    "position": {
+        "left": {
+            "xcenter": 200,
+            "ycenter": 200
+        },
+        "right": {
+            "xcenter": 200,
+            "ycenter": 200
+        }
+    },
+    "aber": {
+        "left": {
+            "tilt": 0.0,
+            "tip": 0.0,
+            "defocus": 0.0,
+            "spherical": 0.0,
+            "verticalComa": 0.0,
+            "horizontalComa": 0.0,
+            "verticalAstigmatism": 0.0,
+            "obliqueAstigmatism": 0.0
+        },
+        "right": {
+            "tilt": 0.0,
+            "tip": 0.0,
+            "defocus": 0.0,
+            "spherical": 0.0,
+            "verticalComa": 0.0,
+            "horizontalComa": 0.0,
+            "verticalAstigmatism": 0.0,
+            "obliqueAstigmatism": 0.0
+        }
+    }
+}
\ No newline at end of file
diff --git a/imnotebook/StageCalibration.ipynb b/imnotebook/StageCalibration.ipynb
new file mode 100644
index 0000000..7896f1d
--- /dev/null
+++ b/imnotebook/StageCalibration.ipynb
@@ -0,0 +1,301 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d904bcd2-d4e1-4fd3-8cdb-e31244918276",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#!pip install imswitchclient\n",
+    "import imswitchclient.ImSwitchClient as imc \n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import time\n",
+    "import cv2\n",
+    "from skimage.registration import phase_cross_correlation\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "537fe71e-541c-4fa5-bc62-395a46235db6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
+      "  warnings.warn(\n",
+      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
+      "  warnings.warn(\n",
+      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
+      "  warnings.warn(\n",
+      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
+      "  warnings.warn(\n",
+      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
+      "  warnings.warn(\n",
+      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
+      "  warnings.warn(\n",
+      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
+      "  warnings.warn(\n",
+      "/Users/bene/mambaforge/envs/imswitch/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host '0.0.0.0'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "# Initialize the client\n",
+    "client = imc.ImSwitchClient()\n",
+    "\n",
+    "# Retrieve the first positioner's name and current position\n",
+    "positioner_names = client.positionersManager.getAllDeviceNames()\n",
+    "positioner_name = positioner_names[0]\n",
+    "currentPositions = client.positionersManager.getPositionerPositions()[positioner_name]\n",
+    "initialPosition = (currentPositions[\"X\"], currentPositions[\"Y\"])\n",
+    "\n",
+    "# turn on illumination\n",
+    "mLaserName = client.lasersManager.getLaserNames()[0]\n",
+    "client.lasersManager.setLaserActive(mLaserName, True)\n",
+    "client.lasersManager.setLaserValue(mLaserName, 1023)\n",
+    "\n",
+    "positionList = [(0,0,0), \n",
+    "                (0,200, 0),\n",
+    "                (0,0,0), \n",
+    "                (100,0,0),\n",
+    "                (0,0,0)]\n",
+    "\n",
+    "                \n",
+    "mStack = []\n",
+    "mPositions = []\n",
+    "#for ix in range(10):\n",
+    "#    for iy in range(10):\n",
+    "for iIndex, iPosition in enumerate(positionList):\n",
+    "        mTime = time.time()\n",
+    "        # Define and move to a new position\n",
+    "        newPosition = (initialPosition[0] + iPosition[0], initialPosition[1] + iPosition[1])\n",
+    "        client.positionersManager.movePositioner(positioner_name, \"X\", newPosition[0], is_absolute=True, is_blocking=True)\n",
+    "        client.positionersManager.movePositioner(positioner_name, \"Y\", newPosition[1], is_absolute=True, is_blocking=True)\n",
+    "        \n",
+    "        # Acquire and display an image\n",
+    "        #time.sleep(2)  # Allow time for the move\n",
+    "        lastFrame = client.recordingManager.snapNumpyToFastAPI()\n",
+    "        mStack.append(lastFrame)\n",
+    "        currentPositions = client.positionersManager.getPositionerPositions()[positioner_name]\n",
+    "        currentPositionsXY = (currentPositions[\"X\"], currentPositions[\"Y\"])\n",
+    "        mPositions.append(currentPositionsXY)\n",
+    "        if 1:\n",
+    "            plt.imshow(lastFrame)\n",
+    "            plt.show()\n",
+    "        print(time.time()-mTime)\n",
+    "# Return the positioner to its initial position\n",
+    "client.positionersManager.movePositioner(positioner_name, \"X\", initialPosition[0], is_absolute=True, is_blocking=True)\n",
+    "client.positionersManager.movePositioner(positioner_name, \"Y\", initialPosition[1], is_absolute=True, is_blocking=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "e8d0eba2-228e-4e7e-aa5c-087d61bede6e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Image layer 'Image' at 0x12227a7c0>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import napari\n",
+    "mViewer = napari.Viewer()\n",
+    "mViewer.add_image(np.array(mStack))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cff024d9-3cec-4b57-be44-8908ab6282fe",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f6377334-dd57-495b-a765-94012af8aef7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "7d44027d-d37d-454a-851e-d962a910f944",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# we assume we have a structured sample in focus\n",
+    "# the sample is moved around and the deltas are measured\n",
+    "# everything has to be inside a thread\n",
+    "# process the slices and compute their relative distances in pixels\n",
+    "# compute shift between images relative to zeroth image\n",
+    "allShiftsComputed = []\n",
+    "rescalingFac = 1 # in case the images are too big we should scale them down! \n",
+    "for iImage in range(len(mStack)):\n",
+    "    image1 = mStack[0]# cv2.cvtColor(mStack[0], cv2.COLOR_BGR2GRAY)\n",
+    "    image2 = mStack[iImage] #cv2.cvtColor(mStack[iImage], cv2.COLOR_BGR2GRAY)\n",
+    "    \n",
+    "    # downscaling will reduce accuracy, but will speed up computation\n",
+    "    image1 = cv2.resize(image1, dsize=None, dst=None, fx=1/rescalingFac, fy=1/rescalingFac)\n",
+    "    image2 = cv2.resize(image2, dsize=None, dst=None, fx=1/rescalingFac, fy=1/rescalingFac)\n",
+    "\n",
+    "    # produces coordinates that can be used to align two imags with the shift function, axis = y,x and image2 on image1\n",
+    "    shift, error, diffphase = phase_cross_correlation(image2, image1)\n",
+    "    shift *=rescalingFac\n",
+    "    allShiftsComputed.append((shift[1],shift[0]))\n",
+    "\n",
+    "import matplotlib.pyplot as plt \n",
+    "# computed positions\n",
+    "x, y = np.array(allShiftsComputed).T\n",
+    "plt.plot(x,y, 'r')\n",
+    "# positions sent to the microscope\n",
+    "xm, ym, z = np.array(positionList).T\n",
+    "plt.plot(xm,ym, 'b')\n",
+    "plt.legend((\"computed\", \"real\"))\n",
+    "\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "4a08985b-73c7-44ec-8ac7-fe6e563ce8b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'xyScanStepsAbsolute' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[28], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# compute averrage shifts according to scan grid \u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m# compare measured shift with shift given by the array of random coordinats\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m allShiftsPlanned \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(\u001b[43mxyScanStepsAbsolute\u001b[49m)\n\u001b[1;32m      4\u001b[0m allShiftsPlanned \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmin(allShiftsPlanned,\u001b[38;5;241m0\u001b[39m)\n\u001b[1;32m      5\u001b[0m allShiftsComputed \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(allShiftsComputed)\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'xyScanStepsAbsolute' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# random code \n",
+    "\n",
+    "\n",
+    "\n",
+    "s\n",
+    "# compute averrage shifts according to scan grid \n",
+    "# compare measured shift with shift given by the array of random coordinats\n",
+    "allShiftsPlanned = np.array(xyScanStepsAbsolute)\n",
+    "allShiftsPlanned -= np.min(allShiftsPlanned,0)\n",
+    "allShiftsComputed = np.array(allShiftsComputed)\n",
+    "\n",
+    "# compute differencs\n",
+    "nShiftX = (self.xScanMax-self.xScanMin)//self.xScanStep\n",
+    "nShiftY = (self.yScanMax-self.yScanMin)//self.yScanStep\n",
+    "\n",
+    "# determine the axis and swap if necessary (e.g. swap axis (y,x))\n",
+    "dReal = np.abs(allShiftsPlanned-np.roll(allShiftsPlanned,-1,0))\n",
+    "dMeasured = np.abs(allShiftsComputed-np.roll(allShiftsComputed,-1,0))\n",
+    "xAxisReal = np.argmin(np.mean(dReal,0))\n",
+    "xAxisMeasured = np.argmin(np.mean(dMeasured,0))\n",
+    "if xAxisReal != xAxisMeasured:\n",
+    "    xAxisMeasured = np.transposes(xAxisMeasured, (1,0))\n",
+    "\n",
+    "# stepsize => real motion / stepsize \n",
+    "stepSizeStage = (dMeasured*self.pixelSize)/dReal\n",
+    "stepSizeStage[stepSizeStage == np.inf] = 0\n",
+    "stepSizeStage = np.nan_to_num(stepSizeStage, nan=0.)\n",
+    "stepSizeStage = stepSizeStage[np.where(stepSizeStage>0)]\n",
+    "stepSizeStageDim = np.mean(stepSizeStage)\n",
+    "stepSizeStageVar = np.var(stepSizeStage)\n",
+    "\n",
+    "self._logger.debug(\"Stage pixel size: \"+str(stepSizeStageDim)+\"nm/step\")\n",
+    "self._widget.setInformationLabel(\"Stage pixel size: \"+str(stepSizeStageDim)+\" nm/step\")\n",
+    "\n",
+    "# Set in setup info\n",
+    "name=\"test\"\n",
+    "self._setupInfo.setPositionerPreset(name, self.makePreset())\n",
+    "configfiletools.saveSetupInfo(configfiletools.loadOptions()[0], self._setupInfo)\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "80cb7873-24f0-41ca-9a89-c7ac075f0eaa",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 0, 0), (0, 100, 0), (0, 0, 0), (100, 0, 0), (0, 0, 0)]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "positionList"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "66e04de8-746b-4a06-a5e4-0eac04cda6cf",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/scripts/Uc2_positionlist.py b/scripts/Uc2_positionlist.py
new file mode 100644
index 0000000..5ace227
--- /dev/null
+++ b/scripts/Uc2_positionlist.py
@@ -0,0 +1,28 @@
+import numpy as np
+import time
+import threading
+mainWindow.setCurrentModule('imcontrol')
+
+api.imcontrol.enalbeMotors(None, False)
+# x,y,z
+positions = [(0, 0, 0),
+			(0, 10, 0),
+			(0, 100, 0),
+			(10, 100, 0),
+			(100, 0, 0)]
+
+positionerName = api.imcontrol.getPositionerNames()[0]
+print(api.imcontrol.getPositionerPositions())
+
+for position in positions:
+	# X
+	posX = position[0]
+	api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
+	# Y
+	posY = position[1]
+	api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
+	#Z
+	posZ = position[2]
+	api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
+
+	api.imcontrol.snapImageToPath(str(position)+"_posscreening")
diff --git a/scripts/example_import.py b/scripts/example_import.py
new file mode 100644
index 0000000..7ac9b62
--- /dev/null
+++ b/scripts/example_import.py
@@ -0,0 +1,25 @@
+"""
+This script demonstrates how one can import another script and use its
+functionality. The imported script is specified by its file path relative
+to the main script (which in this case is this file).
+"""
+
+imported = importScript('example_imported.py')
+imported.printMessage()
+
+
+# Copyright (C) 2020-2023 ImSwitch developers
+# This file is part of ImSwitch.
+#
+# ImSwitch is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# ImSwitch is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program.  If not, see <https://www.gnu.org/licenses/>.
diff --git a/scripts/example_imported.py b/scripts/example_imported.py
new file mode 100644
index 0000000..7b282cf
--- /dev/null
+++ b/scripts/example_imported.py
@@ -0,0 +1,25 @@
+"""
+This script is not intended to be run by itself; it is intended to be imported
+by example_import.py
+"""
+
+
+def printMessage():
+    getLogger().info('Running code from another file!')
+
+
+# Copyright (C) 2020-2023 ImSwitch developers
+# This file is part of ImSwitch.
+#
+# ImSwitch is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# ImSwitch is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program.  If not, see <https://www.gnu.org/licenses/>.
diff --git a/scripts/example_record.py b/scripts/example_record.py
new file mode 100644
index 0000000..dc79d64
--- /dev/null
+++ b/scripts/example_record.py
@@ -0,0 +1,48 @@
+"""
+This script demonstrates some basic functions for recording, changing what
+module is displayed, and waiting for signals to be emitted. Note that the
+recording does not stop automatically if the script is terminated before it
+finishes.
+
+NOTE: This script will only work if the recording widget is enabled in your
+current hardware control setup.
+"""
+
+import time
+
+getLogger().info('Starting recording in "until stop" mode...')
+api.imcontrol.setRecModeUntilStop()
+api.imcontrol.startRecording()
+
+getLogger().info('Recording started. Showing hardware control tab for a few seconds before stopping.')
+time.sleep(3)
+mainWindow.setCurrentModule('imcontrol')
+time.sleep(5)
+
+getLogger().info('Going back to scripting tab.')
+mainWindow.setCurrentModule('imscripting')
+time.sleep(2)
+
+getLogger().info('Stopping recording...')
+waitForRecordingToEnd = getWaitForSignal(api.imcontrol.signals().recordingEnded)
+api.imcontrol.stopRecording()  # It's important to call this after getWaitForSignal!
+waitForRecordingToEnd()
+
+getLogger().info('Recording stopped.')
+
+
+# Copyright (C) 2020-2023 ImSwitch developers
+# This file is part of ImSwitch.
+#
+# ImSwitch is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# ImSwitch is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program.  If not, see <https://www.gnu.org/licenses/>.
diff --git a/scripts/uc2_move_positoinlist.py b/scripts/uc2_move_positoinlist.py
new file mode 100644
index 0000000..8f655da
--- /dev/null
+++ b/scripts/uc2_move_positoinlist.py
@@ -0,0 +1,111 @@
+import numpy as np
+import time
+import threading
+import os
+import cv2
+import tifffile as tif
+#mainWindow.setCurrentModule('imcontrol')
+
+api.imcontrol.enalbeMotors(None, False)
+# x,y,z
+positions = [(54000, 6500, -200),
+				(54000, 7250, -200),
+				(55000, 7250, -200),
+				(55000, 6500, -200),
+				(59750, 6500, 0),
+				(59750, 4600, 0),
+				(60500, 4600, 0),
+				(60500, 3600, 0),
+				(62500, 3600, 0),
+				(62500, 5600, 0),
+				(63000, 5600, 0)]
+
+positionerName = api.imcontrol.getPositionerNames()[0]
+print(api.imcontrol.getPositionerPositions())
+api.imcontrol.setPositionerSpeed(positionerName, "X", 20000)
+api.imcontrol.setPositionerSpeed(positionerName, "Y", 20000)
+api.imcontrol.setPositionerSpeed(positionerName, "Z", 20000)
+
+#api.imcontrol.homeAxis(positionerName, "X")
+#api.imcontrol.homeAxis(positionerName, "Y")
+#time.sleep(15)
+# move to inital position
+
+mPixelSize = 0.327 # mum
+mFrameShape = api.imcontrol.snapImage(True, False).shape
+
+xDim = mFrameShape[1]*mPixelSize
+yDim = mFrameShape[0]*mPixelSize
+mOverlap = 0.9 # 90% overlap at  the edges
+
+print(xDim)
+print(yDim)
+mPath = r"C:\\Users\\T490\\Documents\\Anabel\\Bachelorarbeit\\Bilder\\"
+LEDName = "LED"
+api.imcontrol.setLaserValue(LEDName, 1023)
+api.imcontrol.setLaserActive(LEDName, True)
+time.sleep(0.5)
+#a record dummy frame
+ix=iy=0
+mPos = (ix*xDim*mOverlap+58000,
+ iy*yDim*mOverlap+23000)
+api.imcontrol.movePositioner(positionerName, "XY", mPos, True, True)
+mFrame = api.imcontrol.snapImage(True, False)
+
+#raster
+iiter = 0
+for ix in range(2):
+	for iy in range(2):
+		mPos = (ix*xDim*mOverlap+58000,
+		 iy*yDim*mOverlap+23000)
+		
+		api.imcontrol.movePositioner(positionerName, "XY", mPos, True, True)
+		time.sleep(0.5)
+		# api.imcontrol.snapImageToPath(str(ix)+"_"+str(iy))
+		mFrame = api.imcontrol.snapImage(True, False)
+		tif.imsave(mPath+str(iiter)+"_("+str(int(mPos[0]))+", "+str(int(mPos[1]))+")"+".tif", mFrame)
+		iiter +=1
+#
+#def doScanning():
+	#iiter = 0
+	#while 1:
+		#iPos = 0
+		#for position in positions:
+			#print(position)
+			#posX = position[0]
+			#api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
+			# Y
+			#posY = position[1]
+			#api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
+			#Z
+			#posZ = position[2]
+			#api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
+
+			#time.sleep(1)
+
+			#api.imcontrol.snapImageToPath(str(iPos)+"_posscreening")
+			#iPos +=1
+		#time.sleep(60)
+		#iiter +=1
+		#print(iiter)
+
+#doScanning()
+
+
+#labyrinth ablaufen
+#def doScanning():
+    #iPos = 0
+    #for position in positions:
+    #    posX, posY, posZ = position
+        
+    #    api.imcontrol.movePositioner(positionerName, "X", posX, True, True)
+    #    api.imcontrol.movePositioner(positionerName, "Y", posY, True, True)
+    #    api.imcontrol.movePositioner(positionerName, "Z", posZ, True, True)
+
+    #    time.sleep(1)
+
+    #    api.imcontrol.snapImageToPath(str(iPos)+"_posscreening")
+    #    iPos += 1
+	#time.sleep(60)
+
+#doScanning()

From d1293b68374c3d5dccea418c0da26705866173c3 Mon Sep 17 00:00:00 2001
From: beniroquai <bene.d@gmx.de>
Date: Sat, 8 Feb 2025 21:11:37 +0100
Subject: [PATCH 4/5] adding FRAME config

---
 config/imcontrol_options.json       |   2 +-
 flowStopController/config.json      |  22 ++--
 imcontrol_setups/uc2_hik.json       |  64 +++++++++
 imcontrol_setups/uc2_hik_histo.json | 197 ++++++++++++++++++++++++++++
 4 files changed, 273 insertions(+), 12 deletions(-)
 create mode 100644 imcontrol_setups/uc2_hik.json
 create mode 100644 imcontrol_setups/uc2_hik_histo.json

diff --git a/config/imcontrol_options.json b/config/imcontrol_options.json
index ee296ca..ee1d126 100644
--- a/config/imcontrol_options.json
+++ b/config/imcontrol_options.json
@@ -1,5 +1,5 @@
 {
-    "setupFileName": "example_uc2_hik_flowstop.json",
+    "setupFileName": "uc2_hik_histo.json",
     "recording": {
         "outputFolder": "./ImSwitch/ImSwitch/recordings",
         "includeDateInOutputFolder": true
diff --git a/flowStopController/config.json b/flowStopController/config.json
index 711c60a..9a7c10e 100644
--- a/flowStopController/config.json
+++ b/flowStopController/config.json
@@ -1,13 +1,13 @@
 {
-    "wasRunning": false,
-    "defaultFlowRate": 100,
-    "defaultNumberOfFrames": -1,
-    "defaultExperimentName": "FlowStopExperiment",
-    "defaultFrameRate": 1,
-    "defaultSavePath": "./",
-    "defaultFileFormat": "JPG",
-    "defaultAxisFlow": "A",
-    "defaultAxisFocus": "Z",
-    "defaultDelayTimeAfterRestart": 1,
-    "defaultIsRecordVideo": true
+    "wasRunning": true,
+    "flowRate": 100,
+    "numberOfFrames": -1,
+    "experimentName": "FlowStopExperiment",
+    "frameRate": 1,
+    "savePath": "./",
+    "fileFormat": "JPG",
+    "axisFlow": "X",
+    "axisFocus": "Z",
+    "delayTimeAfterRestart": 1,
+    "isRecordVideo": true
 }
\ No newline at end of file
diff --git a/imcontrol_setups/uc2_hik.json b/imcontrol_setups/uc2_hik.json
new file mode 100644
index 0000000..3487f71
--- /dev/null
+++ b/imcontrol_setups/uc2_hik.json
@@ -0,0 +1,64 @@
+{
+  "detectors": {
+    "WidefieldCamera": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "HikCamManager",
+      "managerProperties": {
+        "isRGB": 0,
+        "cameraListIndex": 0,
+        "cameraEffPixelsize": 0.2257,
+        "mocktype": "OffAxisHolo",
+        "hikcam": {
+          "exposure": 0,
+          "gain": 0,
+          "blacklevel": 100,
+          "image_width": 1000,
+          "image_height": 1000
+        }
+      },
+      "forAcquisition": true,
+      "forFocusLock": true
+    }
+  },
+  "webrtc": {},
+  "PixelCalibration": {},
+  "focusLock": {
+    "camera": "WidefieldCamera",
+    "positioner": "ESP32StageManager",
+    "updateFreq": 4,
+    "frameCropx": 0,
+    "frameCropy": 0,
+    "frameCropw": 0,
+    "frameCroph": 0
+  },
+  "availableWidgets": [
+    "Settings",
+    "View",
+    "Recording"
+],
+"nonAvailableWidgets": [
+    "Laser",
+      "Positioner",x
+      "Autofocus",
+      "MCT",
+      "UC2Config",
+      "PixelCalibration",
+      "HistoScan",
+      "ROIScan",
+    "Joystick",
+    "Image",
+    "Flatfield",
+    "Histogramm",
+    "STORMRecon",
+    "imswitch_arkitekt_next",
+    "DPC",
+    "Holo",
+    "FFT",
+    "Hypha",
+    "FocusLock",
+    "HistoScan",
+    "FocusLock",
+    "FOVLock"
+  ]
+}
diff --git a/imcontrol_setups/uc2_hik_histo.json b/imcontrol_setups/uc2_hik_histo.json
new file mode 100644
index 0000000..02ba8ad
--- /dev/null
+++ b/imcontrol_setups/uc2_hik_histo.json
@@ -0,0 +1,197 @@
+{
+  "positioners": {
+    "ESP32Stage": {
+      "managerName": "ESP32StageManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "isEnable": true,
+        "enableauto": false,
+        "stepsizeXDocu": "200*32 per revolution at 1.27 pitch",
+        "stepsizeX": 0.198,
+        "stepsizeY": 0.198,
+        "stepsizeZ": 0.1563,
+        "homeSpeedX": 15000,
+        "homeSpeedY": 15000,
+        "homeSpeedZ": 15000,
+        "isDualaxis": false,
+        "homeDirectionX": -1,
+        "homeEndstoppolarityX": 0,
+        "backlashXOld": 15,
+        "backlashYOld": 40,
+        "backlashX": 0,
+        "backlashY": 0,
+        "homeEndstoppolarityY": 0,
+        "homeDirectionY": -1,
+        "homeDirectionZ": 0,
+        "homeXenabled": 1,
+        "homeYenabled": 1,
+        "homeZenabled": 0,
+        "homeOnStartX":0,
+        "homeOnStartY":0,
+        "initialSpeed": {
+          "X": 15000,
+          "Y": 15000,
+          "Z": 15000
+        }
+      },
+      "axes": [
+        "X",
+        "Y",
+        "Z"
+      ],
+      "forScanning": true,
+      "forPositioning": true
+    }
+  },
+  "rs232devices": {
+    "ESP32": {
+      "managerName": "ESP32Manager",
+      "managerProperties": {
+        "host_": "192.168.43.129",
+        "serialport": "COM3",
+        "baudrate":115200,
+        "debug": true
+      }
+    }
+  },
+  "lasers": {
+    "LEDRing": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32LEDLaserManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "channel_index": 1
+      },
+      "wavelength": 635,
+      "valueRangeMin": 0,
+      "valueRangeMax": 1023
+    },
+    "LED":{
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32LEDLaserManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "channel_index": 2
+      },
+      "wavelength": 635,
+      "valueRangeMin": 0,
+      "valueRangeMax": 1023
+    }
+  },
+  "detectors": {
+    "WidefieldCamera": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "HikCamManager",
+      "managerProperties": {
+        "isRGB": 0,
+        "cameraListIndex": 0,
+        "cameraEffPixelsize": 0.333,
+        "mocktype": "OffAxisHolo",
+        "hikcam": {
+          "exposure": 0,
+          "gain": 0,
+          "blacklevel": 100,
+          "image_width": 1000,
+          "image_height": 1000
+        }
+      },
+      "forAcquisition": true,
+      "forFocusLock": true
+    }
+  },
+  "HistoScan": {
+    "PreviewCamera1": "Observer"
+  },
+  "autofocus": {
+    "camera": "WidefieldCamera",
+    "positioner": "ESP32Stage",
+    "updateFreq": 10,
+    "frameCropx": 780,
+    "frameCropy": 400,
+    "frameCropw": 500,
+    "frameCroph": 100
+  },
+  "mct": {
+    "monitorIdx": 2,
+    "width": 1080,
+    "height": 1920,
+    "wavelength": 0,
+    "pixelSize": 0,
+    "angleMount": 0,
+    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
+    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
+  },
+  "dpc": {
+    "wavelength": 0.53,
+    "pixelsize": 0.2,
+    "NA": 0.3,
+    "NAi": 0.3,
+    "n": 1.0,
+    "rotations": [
+      0,
+      180,
+      90,
+      270
+    ]
+  },
+  "webrtc": {},
+  "PixelCalibration": {},
+  "focusLock": {
+    "camera": "WidefieldCamera",
+    "positioner": "ESP32StageManager",
+    "updateFreq": 4,
+    "frameCropx": 0,
+    "frameCropy": 0,
+    "frameCropw": 0,
+    "frameCroph": 0
+  },
+  "LEDMatrixs": {
+    "ESP32 LEDMatrix": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32LEDMatrixManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "Nx": 4,
+        "Ny": 4,
+        "wavelength": 488,
+        "valueRangeMin": 0,
+        "valueRangeMax": 32768
+      }
+    }
+  },
+  "availableWidgets": [
+    "Settings",
+    "View",
+    "Recording",
+    "Laser",
+    "Positioner",
+    "Autofocus",
+    "MCT",
+    "UC2Config",
+    "PixelCalibration",
+    "HistoScan",
+    "ROIScan",
+    "Histogramm",
+    "imswitch_arkitekt_next", 
+    "Workflow"
+  ],
+  "nonAvailableWidgets": [
+    "Joystick",
+    "Image",
+    "Flatfield",
+    "Histogramm",
+    "STORMRecon",
+    "DPC",
+    "Holo",
+    "FFT",
+    "Hypha",
+    "FocusLock",
+    "HistoScan",
+    "FocusLock",
+    "FOVLock"
+  ]
+}

From 09b1f76a9d2ff5a428f60df2598409cb9287f168 Mon Sep 17 00:00:00 2001
From: beniroquai <bene.d@gmx.de>
Date: Fri, 14 Feb 2025 20:01:02 +0100
Subject: [PATCH 5/5] hardware-specific changes w.r.t. socket

---
 config/imcontrol_options.json       |   2 +-
 imcontrol_setups/FRAME.json         | 214 ++++++++++++++++++++++++++++
 imcontrol_setups/uc2_hik_histo.json |   6 +-
 3 files changed, 218 insertions(+), 4 deletions(-)
 create mode 100644 imcontrol_setups/FRAME.json

diff --git a/config/imcontrol_options.json b/config/imcontrol_options.json
index ee1d126..71a816e 100644
--- a/config/imcontrol_options.json
+++ b/config/imcontrol_options.json
@@ -1,5 +1,5 @@
 {
-    "setupFileName": "uc2_hik_histo.json",
+    "setupFileName": "FRAME.json",
     "recording": {
         "outputFolder": "./ImSwitch/ImSwitch/recordings",
         "includeDateInOutputFolder": true
diff --git a/imcontrol_setups/FRAME.json b/imcontrol_setups/FRAME.json
new file mode 100644
index 0000000..c2ae3d8
--- /dev/null
+++ b/imcontrol_setups/FRAME.json
@@ -0,0 +1,214 @@
+{
+  "positioners": {
+    "ESP32Stage": {
+      "managerName": "ESP32StageManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "isEnable": true,
+        "enableauto": false,
+        "stepsizeXDocu": "200*16 per revolution at 1.27 pitch",
+        "stepsizeX": 0.396,
+        "stepsizeY": 0.396,
+        "stepsizeZ": 0.1563,        
+        "homeSpeedX": 10000,
+        "homeSpeedY": 10000,
+        "homeSpeedZ": 10000,
+        "isDualaxis": false,
+        "backlashXOld": 15,
+        "backlashYOld": 40,
+        "backlashX": 0,
+        "backlashY": 0,
+        "homeEndstoppolarityX": 1,
+        "homeEndstoppolarityY": 1,
+        "homeDirectionX": -1,
+        "homeDirectionY": -1,
+        "homeDirectionZ": 0,
+        "homeXenabled": 1,
+        "homeYenabled": 1,
+        "homeZenabled": 0,
+        "homeOnStartX":0,
+        "homeOnStartY":0,
+        "initialSpeed": {
+          "X": 15000,
+          "Y": 15000,
+          "Z": 15000
+        }
+      },
+      "axes": [
+        "X",
+        "Y",
+        "Z"
+      ],
+      "forScanning": true,
+      "forPositioning": true
+    }
+  },
+  "rs232devices": {
+    "ESP32": {
+      "managerName": "ESP32Manager",
+      "managerProperties": {
+        "host_": "192.168.43.129",
+        "serialport": "COM3",
+        "baudrate":115200,
+        "debug": true
+      }
+    }
+  },
+  "lasers": {
+    "LEDRing": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32LEDLaserManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "channel_index": 2
+      },
+      "wavelength": 635,
+      "valueRangeMin": 0,
+      "valueRangeMax": 1023
+    },
+    "LED": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32LEDLaserManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "channel_index": 1
+      },
+      "wavelength": 1024,
+      "valueRangeMin": 0,
+      "valueRangeMax": 1023
+    }
+  },
+  "detectors": {
+    "WidefieldCamera": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "HikCamManager",
+      "managerProperties": {
+        "isRGB": 0,
+        "cameraListIndex": 0,
+        "cameraEffPixelsize": 0.2257,
+        "mocktype": "OffAxisHolo",
+        "hikcam": {
+          "exposure": 0,
+          "gain": 0,
+          "blacklevel": 100,
+          "image_width": 1000,
+          "image_height": 1000
+        }
+      },
+      "forAcquisition": true,
+      "forFocusLock": true
+    }, 
+      "Preview": {
+        "analogChannel": null,
+        "digitalLine": null,
+        "managerName": "OpenCVCamManager",
+        "managerProperties": {
+          "cameraListIndex": 0,
+          "cameraListIndexWIN": 0,
+          "isRGB": true,
+          "opencvcam": {
+            "exposure": 0,
+            "gain": 0,
+            "blacklevel": 100,
+            "image_width": 1000,
+            "image_height": 1000,
+            "pixel_format": "Mono12"
+          }
+        },
+        "forAcquisition": false
+      }
+  },
+  "HistoScan": {
+    "PreviewCamera1": "Preview"
+  },
+  "autofocus": {
+    "camera": "WidefieldCamera",
+    "positioner": "ESP32Stage",
+    "updateFreq": 10,
+    "frameCropx": 780,
+    "frameCropy": 400,
+    "frameCropw": 500,
+    "frameCroph": 100
+  },
+  "mct": {
+    "monitorIdx": 2,
+    "width": 1080,
+    "height": 1920,
+    "wavelength": 0,
+    "pixelSize": 0,
+    "angleMount": 0,
+    "patternsDirWin": "C:\\Users\\wanghaoran\\Documents\\ImSwitchConfig\\imcontrol_slm\\488\\",
+    "patternsDir": "/users/bene/ImSwitchConfig/imcontrol_sim/488"
+  },
+  "dpc": {
+    "wavelength": 0.53,
+    "pixelsize": 0.2,
+    "NA": 0.3,
+    "NAi": 0.3,
+    "n": 1.0,
+    "rotations": [
+      0,
+      180,
+      90,
+      270
+    ]
+  },
+  "webrtc": {},
+  "PixelCalibration": {},
+  "focusLock": {
+    "camera": "WidefieldCamera",
+    "positioner": "ESP32StageManager",
+    "updateFreq": 4,
+    "frameCropx": 0,
+    "frameCropy": 0,
+    "frameCropw": 0,
+    "frameCroph": 0
+  },
+  "LEDMatrixs": {
+    "ESP32 LEDMatrix": {
+      "analogChannel": null,
+      "digitalLine": null,
+      "managerName": "ESP32LEDMatrixManager",
+      "managerProperties": {
+        "rs232device": "ESP32",
+        "Nx": 4,
+        "Ny": 4,
+        "wavelength": 488,
+        "valueRangeMin": 0,
+        "valueRangeMax": 32768
+      }
+    }
+  },
+  "availableWidgets": [
+    "Settings",
+    "View",
+    "Recording",
+    "Image",
+    "Laser",
+    "Positioner",
+    "Autofocus",
+    "MCT",
+    "UC2Config",
+    "PixelCalibration",
+    "HistoScan",
+    "Joystick",
+    "Flatfield",
+    "Histogramm",
+    "ROIScan"
+  ],
+  "nonAvailableWidgets": [
+    "STORMRecon",
+    "imswitch_arkitekt_next",
+    "DPC",
+    "Holo",
+    "FFT",
+    "Hypha",
+    "FocusLock",
+    "HistoScan",
+    "FocusLock",
+    "FOVLock"
+  ]
+}
diff --git a/imcontrol_setups/uc2_hik_histo.json b/imcontrol_setups/uc2_hik_histo.json
index 02ba8ad..9857836 100644
--- a/imcontrol_setups/uc2_hik_histo.json
+++ b/imcontrol_setups/uc2_hik_histo.json
@@ -175,14 +175,14 @@
     "PixelCalibration",
     "HistoScan",
     "ROIScan",
-    "Histogramm",
-    "imswitch_arkitekt_next", 
+    "Timelapse",
     "Workflow"
   ],
   "nonAvailableWidgets": [
     "Joystick",
     "Image",
-    "Flatfield",
+    "Flatfield",   
+ "imswitch_arkitekt_next", 
     "Histogramm",
     "STORMRecon",
     "DPC",