Reset global variables..
Circular Buffer Size is: 1000000
Ambient Temperature [C] = 25.9138
Start pulse train for BG Aquisition..
Now refreshing the background image stored in the framegrabber
STATE: 3
Starting time: 1.03269e+008
Use analog input: pci/ai4,pci/ai5
Samplerate per channel: 500000
Buffersize in byte: 1000000
Rising Edge, Continuous Sampling
N_callback: 125
Callbacks per frame: 2
Callback registered
Configure tasks for online measurement..
Timing: start directly
Freq: 2000
Duty cycle: 0.5
Reset global variables: i0, i1, samplesThisRun
Start the Fragegrabber ..
Start the NI-DAQ Card..
Stop after time: 0
Stop after nr. of cells: 10000
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Ran for 1050 frames Cell Events: 33 mean_circ: 0.945038
Ran for 1550 frames Cell Events: 50 mean_circ: 0.943191
Ran for 2050 frames Cell Events: 65 mean_circ: 0.933284
Ran for 3050 frames Cell Events: 91 mean_circ: 0.933697
Ran for 4050 frames Cell Events: 126 mean_circ: 0.934983
Ran for 5050 frames Cell Events: 155 mean_circ: 0.939579
Ran for 5550 frames Cell Events: 168 mean_circ: 0.938779
Ran for 6550 frames Cell Events: 178 mean_circ: 0.936984
Ran for 7050 frames Cell Events: 192 mean_circ: 0.937972
Ran for 7550 frames Cell Events: 201 mean_circ: 0.939341
Ran for 8050 frames Cell Events: 210 mean_circ: 0.940039
Ran for 8550 frames Cell Events: 223 mean_circ: 0.939777
Ran for 9050 frames Cell Events: 240 mean_circ: 0.939934
Ran for 9550 frames Cell Events: 253 mean_circ: 0.940167
Ran for 11050 frames Cell Events: 313 mean_circ: 0.941245
Ran for 11550 frames Cell Events: 323 mean_circ: 0.941718
Ran for 12550 frames Cell Events: 354 mean_circ: 0.942574
Ran for 13550 frames Cell Events: 382 mean_circ: 0.941903
Ran for 14050 frames Cell Events: 389 mean_circ: 0.94137
Ran for 15050 frames Cell Events: 438 mean_circ: 0.940372
Ran for 16050 frames Cell Events: 482 mean_circ: 0.940382
Ran for 16550 frames Cell Events: 488 mean_circ: 0.940613
Ran for 17050 frames Cell Events: 502 mean_circ: 0.94096
Ran for 18050 frames Cell Events: 538 mean_circ: 0.940611
Ran for 18550 frames Cell Events: 548 mean_circ: 0.94041
Ran for 19550 frames Cell Events: 591 mean_circ: 0.94087
Ran for 20050 frames Cell Events: 605 mean_circ: 0.940495
Ran for 21050 frames Cell Events: 632 mean_circ: 0.940681
Ran for 21550 frames Cell Events: 642 mean_circ: 0.941073
Ran for 22050 frames Cell Events: 660 mean_circ: 0.941161
Ran for 22550 frames Cell Events: 682 mean_circ: 0.941177
Ran for 23550 frames Cell Events: 733 mean_circ: 0.941431
Ran for 24050 frames Cell Events: 752 mean_circ: 0.941557
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Ran for 39550 frames Cell Events: 1226 mean_circ: 0.941143
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Ran for 40550 frames Cell Events: 1259 mean_circ: 0.941346
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Ran for 43050 frames Cell Events: 1329 mean_circ: 0.941522
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Ran for 45550 frames Cell Events: 1415 mean_circ: 0.941387
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Ran for 48550 frames Cell Events: 1508 mean_circ: 0.941436
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Ran for 56550 frames Cell Events: 1772 mean_circ: 0.941406
Ran for 57550 frames Cell Events: 1802 mean_circ: 0.941425
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Ran for 59050 frames Cell Events: 1842 mean_circ: 0.9414
Ran for 59550 frames Cell Events: 1855 mean_circ: 0.941363
Ran for 61550 frames Cell Events: 1962 mean_circ: 0.941172
Ran for 63050 frames Cell Events: 2036 mean_circ: 0.9413
Ran for 63550 frames Cell Events: 2057 mean_circ: 0.941274
Ran for 64050 frames Cell Events: 2070 mean_circ: 0.941233
Ran for 65050 frames Cell Events: 2109 mean_circ: 0.94115
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Ran for 71550 frames Cell Events: 2396 mean_circ: 0.941463
Ran for 73050 frames Cell Events: 2453 mean_circ: 0.941242
Ran for 74050 frames Cell Events: 2518 mean_circ: 0.94116
Ran for 74550 frames Cell Events: 2537 mean_circ: 0.941176
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Ran for 78550 frames Cell Events: 2753 mean_circ: 0.940899
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Ran for 82550 frames Cell Events: 3054 mean_circ: 0.940626
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Ran for 83550 frames Cell Events: 3128 mean_circ: 0.94046
Ran for 84550 frames Cell Events: 3217 mean_circ: 0.94031
Ran for 86550 frames Cell Events: 3263 mean_circ: 0.940097
Ran for 87050 frames Cell Events: 3276 mean_circ: 0.940037
Ran for 87550 frames Cell Events: 3296 mean_circ: 0.940051
Ran for 88550 frames Cell Events: 3324 mean_circ: 0.940124
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Ran for 90050 frames Cell Events: 3382 mean_circ: 0.940039
Ran for 90550 frames Cell Events: 3401 mean_circ: 0.940057
Ran for 91050 frames Cell Events: 3416 mean_circ: 0.940019
Ran for 93050 frames Cell Events: 3487 mean_circ: 0.939975
Ran for 94050 frames Cell Events: 3513 mean_circ: 0.940022
Ran for 94550 frames Cell Events: 3532 mean_circ: 0.940078
Ran for 95550 frames Cell Events: 3568 mean_circ: 0.940065
Ran for 97050 frames Cell Events: 3609 mean_circ: 0.940073
Ran for 98050 frames Cell Events: 3632 mean_circ: 0.94008
Ran for 98550 frames Cell Events: 3655 mean_circ: 0.940079
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Ran for 99550 frames Cell Events: 3703 mean_circ: 0.940021
Ran for 100050 frames Cell Events: 3727 mean_circ: 0.94005
Ran for 100550 frames Cell Events: 3749 mean_circ: 0.9401
Ran for 101050 frames Cell Events: 3760 mean_circ: 0.939984
Ran for 101550 frames Cell Events: 3776 mean_circ: 0.939999
Ran for 102550 frames Cell Events: 3806 mean_circ: 0.940064
Ran for 103050 frames Cell Events: 3839 mean_circ: 0.940011
Ran for 103550 frames Cell Events: 3855 mean_circ: 0.940162
Ran for 104050 frames Cell Events: 3878 mean_circ: 0.940147
Ran for 104550 frames Cell Events: 3890 mean_circ: 0.940138
Ran for 106550 frames Cell Events: 3981 mean_circ: 0.939996
Ran for 107050 frames Cell Events: 3992 mean_circ: 0.940067
Ran for 107550 frames Cell Events: 4016 mean_circ: 0.940125
Ran for 109050 frames Cell Events: 4077 mean_circ: 0.939957
Ran for 109550 frames Cell Events: 4098 mean_circ: 0.939962
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Ran for 111050 frames Cell Events: 4149 mean_circ: 0.939842
Ran for 112050 frames Cell Events: 4175 mean_circ: 0.93989
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Ran for 113050 frames Cell Events: 4206 mean_circ: 0.939911
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Ran for 119050 frames Cell Events: 4444 mean_circ: 0.939715
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Ran for 122050 frames Cell Events: 4545 mean_circ: 0.939728
Ran for 123050 frames Cell Events: 4568 mean_circ: 0.939766
Ran for 123550 frames Cell Events: 4587 mean_circ: 0.93976
Ran for 124050 frames Cell Events: 4609 mean_circ: 0.939706
Ran for 126050 frames Cell Events: 4689 mean_circ: 0.939644
Ran for 126550 frames Cell Events: 4701 mean_circ: 0.939717
Ran for 127050 frames Cell Events: 4715 mean_circ: 0.939766
Ran for 127550 frames Cell Events: 4729 mean_circ: 0.939742
Ran for 128050 frames Cell Events: 4751 mean_circ: 0.939756
Ran for 128550 frames Cell Events: 4770 mean_circ: 0.939773
Ran for 130050 frames Cell Events: 4819 mean_circ: 0.939881
Ran for 130550 frames Cell Events: 4836 mean_circ: 0.939908
Ran for 131050 frames Cell Events: 4851 mean_circ: 0.939931
Ran for 131550 frames Cell Events: 4863 mean_circ: 0.939981
Ran for 132050 frames Cell Events: 4878 mean_circ: 0.939962
Ran for 132550 frames Cell Events: 4892 mean_circ: 0.939994
Ran for 133050 frames Cell Events: 4914 mean_circ: 0.940001
Ran for 133550 frames Cell Events: 4924 mean_circ: 0.939901
Ran for 134050 frames Cell Events: 4946 mean_circ: 0.939919
Ran for 134550 frames Cell Events: 4955 mean_circ: 0.939923
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Ran for 141050 frames Cell Events: 5194 mean_circ: 0.940116
Ran for 141550 frames Cell Events: 5214 mean_circ: 0.940082
Ran for 143050 frames Cell Events: 5276 mean_circ: 0.94011
Ran for 143550 frames Cell Events: 5298 mean_circ: 0.940147
Ran for 144050 frames Cell Events: 5318 mean_circ: 0.940094
Ran for 144550 frames Cell Events: 5338 mean_circ: 0.940139
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Ran for 145550 frames Cell Events: 5373 mean_circ: 0.940156
Ran for 146050 frames Cell Events: 5392 mean_circ: 0.940117
Ran for 146550 frames Cell Events: 5405 mean_circ: 0.940127
Ran for 147550 frames Cell Events: 5446 mean_circ: 0.940185
Ran for 148050 frames Cell Events: 5472 mean_circ: 0.940186
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Ran for 149050 frames Cell Events: 5498 mean_circ: 0.940213
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Ran for 151550 frames Cell Events: 5583 mean_circ: 0.940281
Ran for 152050 frames Cell Events: 5596 mean_circ: 0.940252
Ran for 152550 frames Cell Events: 5611 mean_circ: 0.940285
Ran for 153050 frames Cell Events: 5631 mean_circ: 0.940334
Ran for 153550 frames Cell Events: 5643 mean_circ: 0.940311
Ran for 154050 frames Cell Events: 5655 mean_circ: 0.940295
Ran for 154550 frames Cell Events: 5670 mean_circ: 0.940253
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Ran for 157050 frames Cell Events: 5777 mean_circ: 0.940332
Ran for 157550 frames Cell Events: 5794 mean_circ: 0.940352
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Ran for 158550 frames Cell Events: 5828 mean_circ: 0.940307
Ran for 159550 frames Cell Events: 5865 mean_circ: 0.940364
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Ran for 161550 frames Cell Events: 5932 mean_circ: 0.940398
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Ran for 163550 frames Cell Events: 6003 mean_circ: 0.940498
Ran for 164050 frames Cell Events: 6032 mean_circ: 0.940529
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Ran for 168050 frames Cell Events: 6183 mean_circ: 0.940467
Ran for 169050 frames Cell Events: 6216 mean_circ: 0.940481
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Ran for 171050 frames Cell Events: 6297 mean_circ: 0.940475
Ran for 171550 frames Cell Events: 6317 mean_circ: 0.940461
Ran for 172050 frames Cell Events: 6331 mean_circ: 0.940416
Ran for 173050 frames Cell Events: 6370 mean_circ: 0.940467
Ran for 173550 frames Cell Events: 6380 mean_circ: 0.940441
Ran for 174050 frames Cell Events: 6393 mean_circ: 0.940429
Ran for 174550 frames Cell Events: 6410 mean_circ: 0.940413
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Ran for 176550 frames Cell Events: 6492 mean_circ: 0.940455
Ran for 177050 frames Cell Events: 6503 mean_circ: 0.94047
Ran for 177550 frames Cell Events: 6528 mean_circ: 0.94046
Ran for 178050 frames Cell Events: 6542 mean_circ: 0.94046
Ran for 178550 frames Cell Events: 6551 mean_circ: 0.940441
Ran for 179050 frames Cell Events: 6562 mean_circ: 0.940455
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Ran for 182550 frames Cell Events: 6733 mean_circ: 0.940443
Ran for 184050 frames Cell Events: 6783 mean_circ: 0.940469
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Ran for 202050 frames Cell Events: 7445 mean_circ: 0.940268
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Ran for 204550 frames Cell Events: 7533 mean_circ: 0.940355
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Ran for 207050 frames Cell Events: 7613 mean_circ: 0.940408
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Ran for 208550 frames Cell Events: 7673 mean_circ: 0.940462
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