def __init__(self): if g.settings[ 'neuroLab'] is None or 'eppAmpByQuanta_N' not in g.settings[ 'neuroLab']: s = dict() s['meppAmp_mean'] = 10 s['meppAmp_sigma'] = 0.1 s['meppAmp_N'] = 500 s['meppsPerInterval'] = 10 s['meppsPerInterval_N'] = 500 s['meppIntervals_time'] = 1 s['meppIntervals_N'] = 500 s['eppQuanta_mean'] = 10 s['eppQuanta_N'] = 500 s['eppAmp_mean'] = 10 s['eppAmp_sigma'] = 0.1 s['eppAmp_N'] = 500 s['eppAmpByQuanta_mean'] = 10 s['eppAmpByQuanta_quanta'] = 1 s['eppAmpByQuanta_sigma'] = 0.1 s['eppAmpByQuanta_N'] = 500 g.settings['neuroLab'] = s BaseProcess_noPriorWindow.__init__(self) self.sampleMax = 1000000 self.exportPath = ''
def __init__(self): if g.settings['fft_Chunker'] is None or 'closeplots' not in g.settings[ 'fft_Chunker']: s = dict() # s['timestep'] = 1 # s['chunkSize'] = 128 # s['plot'] = True s['chunkSize'] = 128 s['timestep'] = 1 s['numFrames'] = None s['numChunks'] = None s['baseline_start'] = 0 s['baseline_stop'] = 2 s['puff1_start'] = 0 s['puff1_stop'] = 0 s['puff2_start'] = 0 s['puff2_stop'] = 0 s['puff3_start'] = 0 s['puff3_stop'] = 0 s['puff4_start'] = 0 s['puff4_stop'] = 0 s['filepath'] = None s['run'] = None s['plot'] = True s['closeplots'] = None g.settings['fft_Chunker'] = s BaseProcess_noPriorWindow.__init__(self)
def __init__(self): if g.settings['synapse'] is None: s = dict() s['version'] = 'synapse3D' g.settings['synapse'] = s BaseProcess_noPriorWindow.__init__(self)
def __init__(self): if g.settings['volumeSlider'] is None or 'inputChoice' not in g.settings['volumeSlider']: s = dict() s['inputChoice'] = 'Current Window' s['keepOriginalWindow'] = False g.settings['volumeSlider'] = s BaseProcess_noPriorWindow.__init__(self)
def __init__(self): if g.settings['puffMapper'] is None or 'yExpand' not in g.settings['puffMapper']: s = dict() s['nFrames'] = 1000 s['startFrame'] = 0 s['sortedByMax'] = False s['xBin'] = 0 s['yExpand'] = 0 g.settings['puffMapper'] = s BaseProcess_noPriorWindow.__init__(self)
def __init__(self): if g.settings[ 'scaledAverageSubtract'] is None or 'averageSize' not in g.settings[ 'scaledAverageSubtract']: s = dict() s['windowSize'] = 50 s['averageSize'] = 100 g.settings['scaledAverageSubtract'] = s self.current_ROI = None BaseProcess_noPriorWindow.__init__(self)
def __init__(self): BaseProcess_noPriorWindow.__init__(self) self.currentWin = None self.currentROI = None self.displayStarted = False self.data = None self.img = None self.startScale = -3 self.endScale = 50 self.n = 50 self.frame = 0 self.ROIwindowExists = False self.ROI_ID = 0
def __init__(self): if g.settings['on_the_fly'] is None or 'updateAnalyzerRate' not in g.settings['on_the_fly']: s = dict() s['sliceNumber'] = 0 s['batchSize'] = 10 s['updateRate'] = 2 #seconds s['updateAnalyzerRate'] = 120 #seconds s['nSteps'] = 1 s['displaySlice'] = 0 s['shift_factor'] = 1 s['theta'] = 45 s['triangle_scan'] = False s['interpolate'] = False s['trim_last_frame'] = False s['nChannels'] = 1 g.settings['on_the_fly'] = s BaseProcess_noPriorWindow.__init__(self)
def __init__(self): if g.settings['volumeSlider'] is None or 'overlay' not in g.settings[ 'volumeSlider']: s = dict() s['inputChoice'] = 'Current Window' s['keepOriginalWindow'] = False s['slicesPerVolume'] = 1 s['slicesDeletedPerVolume'] = 0 s['slicesDeletedPerMovie'] = 0 s['baselineValue'] = 0 s['f0Start'] = 0 s['f0End'] = 0 s['multiplicationFactor'] = 100 s['currentDataType'] = 0 s['newDataType'] = 0 s['theta'] = 45 s['shiftFactor'] = 1 s['trimLastFrame'] = False s['inputArrayOrder'] = 4 s['displayArrayOrder'] = 16 s['f0VolStart'] = 0 s['f0VolEnd'] = 0 s['IMS_fname'] = 'IMS_export.ims' s['IMS_subsamp'] = '((1, 1, 1), (1, 2, 2))' s['IMS_chunks'] = '((16, 128, 128), (64, 64, 64))' s['IMS_compression'] = 'gzip' s['IMS_thumbsize'] = '256' s['IMS_dx'] = 0.1 s['IMS_dz'] = 0.25 s['IMS_Unit'] = 'um' s['IMS_GammaCorrection'] = 1 s['IMS_ColorRange'] = '0 255' s['IMS_LSMEmissionWavelength'] = 0 s['IMS_LSMExcitationWavelength'] = 0 s['preProcess'] = False s['overlayStart'] = 1 s['overlay'] = False g.settings['volumeSlider'] = s BaseProcess_noPriorWindow.__init__(self)
def __init__(self): if g.settings[ 'dipoleAnalysis'] is None or 'step2minClusterArea' not in g.settings[ 'dipoleAnalysis']: s = dict() s['resultsFolder1'] = None s['resultsFolder2'] = None s['resultsFolder3'] = None s['dipoleWindow'] = None s['twoColorWindow'] = None s['twoColorWindow_crop'] = None s['step1Gaussian'] = False s['step1Threshold'] = False s['step1GuassianValue'] = 150 s['step1ThresholdValue'] = 0.025 s['step2GuassianValue'] = 20 s['step2ThresholdValue'] = 0.02 s['step2minClusterArea'] = 2200 g.settings['dipoleAnalysis'] = s BaseProcess_noPriorWindow.__init__(self)
def __init__(self, window, channel): BaseProcess_noPriorWindow.__init__(self) #set current window self.win = window #set linescan width self.width = 1 #set integration selection self.integrationSelection = 'mean' #add ROI self.drawROI() #set colour channel at start self.channelSelection = channel #create colour dict self.colourChannelDict = {'R': 0, 'G': 1, 'B': 2} #get linedata #self.getLineData() self.getROIdata() #set plot line style self.setStyle() #initialize plot self.initalizePlot() #set connections self.setUpdateConnections()
def __init__(self): BaseProcess_noPriorWindow.__init__(self) self.current_red = None self.current_green = None
def __init__(self): BaseProcess_noPriorWindow.__init__(self) self.packageList = [] self.listDisplay = ListWindow() self.condaENV = (os.environ['CONDA_DEFAULT_ENV']) return
def __init__(self): BaseProcess_noPriorWindow.__init__(self) self.linescanPlot = None
def __init__(self): BaseProcess_noPriorWindow.__init__(self)