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 closeEvent(self, event):
BaseProcess_noPriorWindow.closeEvent(self, event)
#self.ui.close()
#event.accept()
self.dialogWin.close()
return
def closeEvent(self, event):
BaseProcess_noPriorWindow.closeEvent(self, event)
event.accept()
return
def closeEvent(self, event):
self.clearPlots()
BaseProcess_noPriorWindow.closeEvent(self, event)
return
def closeEvent(self, event):
BaseProcess_noPriorWindow.closeEvent(self, event)
self.linescanPlot.close()
def __init__(self):
BaseProcess_noPriorWindow.__init__(self)
self.linescanPlot = None
def closeEvent(self, event):
self.unlink_frames(self.current_red, self.current_green)
BaseProcess_noPriorWindow.closeEvent(self, event)
def closeEvent(self, event):
if self.initiated:
self.closeAll()
BaseProcess_noPriorWindow.closeEvent(self, event)
def closeEvent(self, event):
BaseProcess_noPriorWindow.closeEvent(self, event)
def __init__(self):
BaseProcess_noPriorWindow.__init__(self)
