Use the tab-control below to browse all logs present in this DC resource.

cfg-#1
[experiment]
date = 2020-07-30
event count = 18568
run index = 1
sample = 200730_TG_RhoA_Colon_CD45_CD31_Epcam_2
time = 13:16:25

[fluorescence]
bit depth = 16
channel 1 name = 525/50
channel 2 name = 593/46
channel 3 name = 700/75
channel count = 3
channels installed = 3
laser 1 lambda = 488.000000000000
laser 1 power = 1.500000000000
laser 2 lambda = 561.000000000000
laser 2 power = 15.000000000000
laser 3 lambda = 640.000000000000
laser 3 power = 15.000000000000
laser count = 3
lasers installed = 3
sample rate = 625000.000000000000
samples per event = 353
signal max = 1.000000000000
signal min = -1.000000000000
trace median = 5

[imaging]
flash device = LED (ZMD L1)
flash duration = 2.000000000000
frame rate = 1600.000000000000
pixel size = 0.338999986649
roi position x = 557.000000000000
roi position y = 456.000000000000
roi size x = 250
roi size y = 80

[online_contour]
bin area min = 10
bin kernel = 5
bin threshold = -6
image blur = 0
no absdiff = True

[online_filter]
area_ratio max = 1.049999952316
area_ratio min = 1.000000000000
area_ratio soft limit = True
area_um max = 1500.000000000000
area_um min = 10.000000000000
area_um soft limit = False
aspect max = 2.000000000000
aspect min = 1.000000000000
aspect soft limit = True
deform max = 0.200000002980
deform min = 0.000000000000
deform soft limit = True
size_x max = 80
size_x min = 1
size_x soft limit = False
size_y max = 80
size_y min = 1
size_y soft limit = False

[setup]
channel width = 20.000000000000
chip region = channel
flow rate = 0.059999998659
flow rate sample = 0.014999999665
flow rate sheath = 0.045000001788
identifier = ZMDD-AcC-0be020-edfbdb
medium = CellCarrierB
module composition = AcCellerator,FluorescenceModule
software version = ShapeIn 2.0.8
temperature = 24.700000762939



cfg-#2
[experiment]
date = 2020-07-30
event count = 75709
run index = 2
sample = 200730_TG_RhoA_Colon_CD45_CD31_Epcam_2
time = 13:30:55

[fluorescence]
bit depth = 16
channel 1 name = 525/50
channel 2 name = 593/46
channel 3 name = 700/75
channel count = 3
channels installed = 3
laser 1 lambda = 488.000000000000
laser 1 power = 1.500000000000
laser 2 lambda = 561.000000000000
laser 2 power = 15.000000000000
laser 3 lambda = 640.000000000000
laser 3 power = 15.000000000000
laser count = 3
lasers installed = 3
sample rate = 625000.000000000000
samples per event = 353
signal max = 1.000000000000
signal min = -1.000000000000
trace median = 5

[imaging]
flash device = LED (ZMD L1)
flash duration = 2.000000000000
frame rate = 1600.000000000000
pixel size = 0.338999986649
roi position x = 557.000000000000
roi position y = 456.000000000000
roi size x = 250
roi size y = 80

[online_contour]
bin area min = 10
bin kernel = 5
bin threshold = -6
image blur = 0
no absdiff = True

[online_filter]
area_ratio max = 1.049999952316
area_ratio min = 1.000000000000
area_ratio soft limit = True
area_um max = 1500.000000000000
area_um min = 10.000000000000
area_um soft limit = False
aspect max = 2.000000000000
aspect min = 1.000000000000
aspect soft limit = True
deform max = 0.200000002980
deform min = 0.000000000000
deform soft limit = True
size_x max = 80
size_x min = 1
size_x soft limit = False
size_y max = 80
size_y min = 1
size_y soft limit = False

[setup]
channel width = 20.000000000000
chip region = channel
flow rate = 0.059999998659
flow rate sample = 0.014999999665
flow rate sheath = 0.045000001788
identifier = ZMDD-AcC-0be020-edfbdb
medium = CellCarrierB
module composition = AcCellerator,FluorescenceModule
software version = ShapeIn 2.0.8
temperature = 25.000000000000



dckit-history
[
  {
    "libraries": {
      "dckit": "0.14.5",
      "dclab": "0.47.0",
      "h5py": "3.7.0",
      "imageio": "2.10.3",
      "nptdms": "1.6.0",
      "numpy": "1.23.5"
    },
    "python": {
      "build": "tags/v3.8.0:fa919fd, Oct 14 2019 19:37:50",
      "implementation": "CPython",
      "version": "3.8.0"
    },
    "system": {
      "info": "Windows-10-10.0.18362-SP0",
      "machine": "AMD64",
      "name": "Windows",
      "release": "10",
      "version": "10.0.18362"
    },
    "task": {
      "name": "update metadata",
      "new": {
        "experiment:sample": "KO_S2_tumour"
      },
      "old": {
        "experiment:sample": "200730_Combined_2_RhoA_CD45_CD31_Epcam"
      }
    },
    "utc": {
      "date": "2023-01-18",
      "time": "21:38:57"
    }
  },
  {
    "libraries": {
      "dckit": "0.14.5",
      "dclab": "0.47.0",
      "h5py": "3.7.0",
      "imageio": "2.10.3",
      "nptdms": "1.6.0",
      "numpy": "1.23.5"
    },
    "python": {
      "build": "tags/v3.8.0:fa919fd, Oct 14 2019 19:37:50",
      "implementation": "CPython",
      "version": "3.8.0"
    },
    "system": {
      "info": "Windows-10-10.0.18362-SP0",
      "machine": "AMD64",
      "name": "Windows",
      "release": "10",
      "version": "10.0.18362"
    },
    "task": {
      "name": "update metadata",
      "new": {
        "experiment:sample": "Tumour_S8"
      },
      "old": {
        "experiment:sample": "KO_S2_tumour"
      }
    },
    "utc": {
      "date": "2023-01-18",
      "time": "22:39:56"
    }
  }
]

dclab-compress
{
  "files": [
    {
      "index": 1,
      "md5-5M": "c9386606b77294d94b6d533bc31299c7",
      "name": "Tumour_S8.rtdc"
    }
  ],
  "libraries": {
    "dclab": "0.47.2",
    "h5py": "3.7.0",
    "numpy": "1.23.5"
  },
  "python": {
    "build": "tags/v3.9.13:6de2ca5, May 17 2022 16:36:42",
    "implementation": "CPython",
    "version": "3.9.13"
  },
  "system": {
    "info": "Windows-10-10.0.18363-SP0",
    "machine": "AMD64",
    "name": "Windows",
    "release": "10",
    "version": "10.0.18363"
  },
  "utc": {
    "date": "2023-01-19",
    "time": "22:31:49"
  }
}

dclab-compress-warnings
WrongConfigurationTypeWarning
 in dclab.rtdc_dataset.config line 77:
   Type of confguration key [fluorescence]: sample rate should be <class 'numbers.Integral'>, got
   <class 'numpy.float64'>!
WrongConfigurationTypeWarning
 in dclab.rtdc_dataset.config line 77:
   Type of confguration key [imaging]: roi position x should be <class 'numbers.Integral'>, got
   <class 'numpy.float64'>!
WrongConfigurationTypeWarning
 in dclab.rtdc_dataset.config line 77:
   Type of confguration key [imaging]: roi position y should be <class 'numbers.Integral'>, got
   <class 'numpy.float64'>!

dclab-join
{
  "files": [
    {
      "index": 1,
      "name": "M001_data.rtdc",
      "sha256": "a64526ccd172281ea1946d128430b7219c54fda885f68a5bc7a9de31d49e28bf"
    },
    {
      "index": 2,
      "name": "M002_data.rtdc",
      "sha256": "28439488a5ca04269a705129b6897639eb2fb3bd84c9647e5b7c4307999746e4"
    }
  ],
  "libraries": {
    "dclab": "0.27.6",
    "h5py": "2.10.0",
    "imageio": "2.8.0",
    "nptdms": "0.27.0",
    "numpy": "1.18.5"
  },
  "python": {
    "build": "tags/v3.6.8:3c6b436a57, Dec 24 2018 00:16:47",
    "implementation": "CPython",
    "version": "3.6.8"
  },
  "system": {
    "info": "Windows-10-10.0.17763-SP0",
    "machine": "AMD64",
    "name": "Windows",
    "release": "10",
    "version": "10.0.17763"
  },
  "utc": {
    "date": "2020-07-30",
    "time": "12:39:06"
  }
}

src-#1_log
[LOG] number of written datasets 0  13:16:29.459
[LOG] number of written datasets 1000  13:16:45.107
[LOG] number of written datasets 2000  13:17:05.114
[LOG] number of written datasets 3000  13:17:07.858
[LOG] number of written datasets 4000  13:17:37.604
[LOG] number of written datasets 5000  13:17:46.676
[LOG] number of written datasets 6000  13:18:00.468
[LOG] number of written datasets 7000  13:18:04.622
[LOG] number of written datasets 8000  13:18:09.222
[LOG] number of written datasets 9000  13:18:29.445
[LOG] number of written datasets 10000  13:19:20.086
[LOG] number of written datasets 11000  13:20:29.648
[LOG] number of written datasets 12000  13:20:37.646
[LOG] number of written datasets 13000  13:20:39.295
[LOG] number of written datasets 14000  13:21:26.990
[LOG] number of written datasets 15000  13:21:56.836
[LOG] number of written datasets 16000  13:21:59.668
[LOG] number of written datasets 17000  13:22:01.205
[LOG] number of written datasets 18000  13:22:12.807

src-#2_log
[LOG] number of written datasets 0  13:30:59.587
[LOG] number of written datasets 1000  13:31:09.977
[LOG] number of written datasets 2000  13:31:21.571
[LOG] number of written datasets 3000  13:31:34.154
[LOG] number of written datasets 4000  13:31:43.231
[LOG] number of written datasets 5000  13:31:53.840
[LOG] number of written datasets 6000  13:32:04.773
[LOG] number of written datasets 7000  13:32:15.602
[LOG] number of written datasets 8000  13:32:26.432
[LOG] number of written datasets 9000  13:32:36.720
[LOG] number of written datasets 10000  13:32:47.986
[LOG] number of written datasets 11000  13:32:59.467
[LOG] number of written datasets 12000  13:33:12.154
[LOG] number of written datasets 13000  13:33:25.168
[LOG] number of written datasets 14000  13:33:36.548
[LOG] number of written datasets 15000  13:33:47.592
[LOG] number of written datasets 16000  13:33:58.535
[LOG] number of written datasets 17000  13:34:11.435
[LOG] number of written datasets 18000  13:34:25.110
[LOG] number of written datasets 19000  13:34:35.606
[LOG] number of written datasets 20000  13:34:46.982
[LOG] number of written datasets 21000  13:34:59.233
[LOG] number of written datasets 22000  13:35:10.170
[LOG] number of written datasets 23000  13:35:23.077
[LOG] number of written datasets 24000  13:35:35.657
[LOG] number of written datasets 25000  13:35:48.789
[LOG] number of written datasets 26000  13:36:01.695
[LOG] number of written datasets 27000  13:36:14.046
[LOG] number of written datasets 28000  13:36:26.298
[LOG] number of written datasets 29000  13:36:37.132
[LOG] number of written datasets 30000  13:36:46.755
[LOG] number of written datasets 31000  13:36:58.783
[LOG] number of written datasets 32000  13:37:11.800
[LOG] number of written datasets 33000  13:37:26.786
[LOG] number of written datasets 34000  13:37:35.972
[LOG] number of written datasets 35000  13:37:46.803
[LOG] number of written datasets 36000  13:38:01.347
[LOG] number of written datasets 37000  13:38:24.535
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[LOG] number of written datasets 43000  13:39:40.660
[LOG] number of written datasets 44000  13:39:56.628
[LOG] number of written datasets 45000  13:40:11.835
[LOG] number of written datasets 46000  13:40:31.195
[LOG] number of written datasets 47000  13:40:51.648
[LOG] number of written datasets 48000  13:41:09.480
[LOG] number of written datasets 49000  13:41:24.791
[LOG] number of written datasets 50000  13:41:32.227
[LOG] number of written datasets 51000  13:41:40.428
[LOG] number of written datasets 52000  13:42:00.667
[LOG] number of written datasets 53000  13:42:13.681
[LOG] number of written datasets 54000  13:42:45.197
[LOG] number of written datasets 55000  13:42:52.954
[LOG] number of written datasets 56000  13:43:03.883
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[LOG] number of written datasets 58000  13:43:39.650
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[LOG] number of written datasets 60000  13:44:37.947
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[LOG] number of written datasets 62000  13:45:36.136
[LOG] number of written datasets 63000  13:45:48.387
[LOG] number of written datasets 64000  13:46:10.047
[LOG] number of written datasets 65000  13:46:43.740
[LOG] number of written datasets 66000  13:47:03.204
[LOG] number of written datasets 67000  13:47:31.860
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[LOG] number of written datasets 69000  13:48:24.466
[LOG] number of written datasets 70000  13:49:01.115
[LOG] number of written datasets 71000  13:49:03.123
[LOG] number of written datasets 72000  13:49:04.417
[LOG] number of written datasets 73000  13:49:04.990
[LOG] number of written datasets 74000  13:49:06.038
[LOG] number of written datasets 75000  13:49:48.363