def importMatlabLSPS(directory):
ABF_Files = []
MAT_Files = []
#NPZ_Files = []
for File in listdir(directory):
if fnmatch(File, '*.abf'):
ABF_Files.append(File)
for File in listdir(directory):
if fnmatch(File, '*.mat'):
MAT_Files.append(File)
#for File in listdir(directory):
# if fnmatch(File, '*.npz'):
# NPZ_Files.append(File)
Raw_Recording = importABF(ABF_Files[0])
for File in ABF_Files[1:]:
Raw_Recording = addRun(File, Raw_Recording)
if not np.size(MAT_Files) == 0:
Parameters = loadMatlab_LSPS_Parameters(MAT_Files[0])
Images = loadMatlab_LSPS_Image(MAT_Files[0])
for File in MAT_Files[1:]:
tempParam = loadMatlab_LSPS_Parameters(File)
for key in Parameters['Random_Stimulations'].keys():
Parameters['Random_Stimulations'][(key)] = np.dstack((Parameters['Random_Stimulations'][key], tempParam['Random_Stimulations'][key]))
tempImage = loadMatlab_LSPS_Image(File)
Images = np.dstack((Images, tempImage))
# Reorder the recordings based on random stimulation order
Raw_Recording = reorderMatlabLSPS(Raw_Recording, Parameters)
return Raw_Recording, Parameters, Images
def Execute_Experiment(a, Pins, Parameters, FG):
a.pinMode(Pins['DigiData_Start'], 'output')
Parameters = Site_Coordinates(Parameters)
Parameters = Random_Sites(Parameters)
time.sleep(1)
for i in range(Parameters['Num_Sites']):
# Set Galvos
a.analogWrite(20,Parameters['Random_Stimulations']['Galvo_X'][i])
a.analogWrite(21,Parameters['Random_Stimulations']['Galvo_Y'][i])
time.sleep(0.1)
# DigiData Start
a.digitalWrite(Pins['DigiData_Start'], 1)
time.sleep(0.1)
a.digitalWrite(Pins['DigiData_Start'], 0)
# Wait until recording finishes
temp = int(a.digitalRead(Pins['DigiData_DOut']))
while temp == 0:
temp = int(a.digitalRead(Pins['DigiData_DOut']))
time.sleep(0.3)
# Reset Galvos
a.analogWrite(20,0)
a.analogWrite(21,0)
# Capture DIC Image
Image = FG.capture()
time.sleep(1)
# Import Recording Data
ABF_Files = []
for file in listdir('C:/Users/RMBradley/Desktop/pClamp Recordings'):
if fnmatch(file, '*.abf'):
ABF_Files.append(file)
Raw_Data = importABF(str('C:/Users/RMBradley/Desktop/pClamp Recordings/'+ ABF_Files[-1]))
# Save Data
print 'Saving data...'
stdout.flush()
filename = ABF_Files[-1].replace('.abf', '')
np.savez(str('C:/Users/RMBradley/Desktop/pClamp Recordings/'+ filename),Parameters=Parameters, Image=Image, Raw_Data=Raw_Data)
