def main():
# Open a .ome.tif image from the Flexoscope.
impath = IJ.getFilePath("Choose .ome.tiff file")
channels = Opener.openUsingBioFormats(impath)
# Show image
# imp.show() # straight to channels object sames memory.
# Split channels.
channels = ChannelSplitter().split(channels)
# Process channel 1.
# subtractzproject(imp, projectionMethod="Median")
channels[1] = ImagePlus()
channels.append(ImagePlus())
channels[1] = subtractzproject(channels[0])
IJ.run(channels[0], "Enhance Contrast...", "saturated=0.3 normalize process_all use")
IJ.run(channels[0], "8-bit", "")
IJ.run(channels[1], "Square", "stack")
IJ.run(channels[1], "Enhance Contrast...", "saturated=0.3 normalize process_all use")
IJ.run(channels[1], "8-bit", "")
# Merge channels.
merge = RGBStackMerge().mergeChannels(channels, True) # boolean keep
merge.show()
def measureOneFile(nucfilepath):
#parent = os.path.dirname(nucfilepath)
#gparent = os.path.dirname(parent)
#gparentname = os.path.basename(gparent)
#ggparent = os.path.dirname(gparent)
iodefectflag = 0
op = Opener()
filetype = op.getFileType(nucfilepath)
if filetype == Opener.TIFF:
imp = op.openImage(nucfilepath)
imgtitle = imp.getTitle()
imgstats = imp.getStatistics()
intrange = imgstats.max - imgstats.min
#print imgtitle, imp.getWidth(), 'x', imp.getWidth(), 'Max - Min', intrange, 'SD', imgstats.stdDev
print imgtitle, imp.getWidth(), 'x', imp.getWidth(), 'Mean', imgstats.mean, 'SD', imgstats.stdDev
#outfilename = gparentname + imgtitle + ".csv"
#outdir = os.path.join(ggparent, 'outfiles')
#if not os.path.isdir(outdir):
#os.mkdir(outdir)
#outpath = os.path.join(ggparent, 'outfiles', outfilename)
#print outpath
#outlist = ["'" + imgtitle + "'", intrange, imgstats.stdDev]
outlist = ["'" + imgtitle + "'", imgstats.mean, imgstats.stdDev]
else:
iodefectflag = 1
filename = os.path.basename(nucfilepath)
print "****** Could not open:",filename
outlist = ["'" + filename + "'", 1.0, 1.0]
return outlist, nucfilepath, iodefectflag
def import_multiple_rois(roi_files):
rois = [f.getPath() for f in roi_files if f.exists() and f.getName().lower().endswith("roi")]
opener = Opener()
rm = RoiManager.getRoiManager()
if not rm.getInstance():
rm.reset()
[rm.addRoi(opener.openRoi(r)) for r in rois]
def resizeAndSave(filePaths, l):
while l.get() < min(len(filePaths), currentWrittenLayer + nTilesAtATime + 1) :
k = l.getAndIncrement()
if k < min(len(filePaths), currentWrittenLayer + nTilesAtATime):
filePath = filePaths[k]
imageName = os.path.basename(filePath)
resizedImageName = os.path.splitext(imageName)[0] + '_resized_' + factorString + os.path.splitext(imageName)[1]
imageFolderName = os.path.basename(os.path.dirname(filePath))
resizedFilePath = fc.cleanLinuxPath(os.path.join(downSampledEMFolder, imageFolderName, resizedImageName))
im = Opener().openImage(filePath)
IJ.log('Am I going to process the image: im.height = ' + str(im.height) + ' - tileHeight = ' + str(tileHeight) + ' tile number ' + str(k))
if im.height == tileHeight: # crop a few lines at the top only if it has not already been done (sometimes the pipeline gets rerun)
im = fc.crop(im,cropRoi)
im = fc.normLocalContrast(im, normLocalContrastSize, normLocalContrastSize, 3, True, True)
# IJ.run(im, 'Replace value', 'pattern=0 replacement=1') # only for final waferOverview
FileSaver(im).saveAsTiff(filePath)
if not os.path.isfile(resizedFilePath):
im = fc.resize(im, scaleFactor)
FileSaver(im).saveAsTiff(resizedFilePath)
IJ.log('Image resized to ' + resizedFilePath)
im.close()
def normalized_roi_length(roi_path, pixel_scaling, normalization_fn=None):
'''
Returns the scaled measure of the input roi performing the normalization
function if provided.
'''
opener = Opener()
roi = opener.openRoi(roi_path)
scaled_measure = roi.getLength() / pixel_scaling
if callable(normalization_fn):
return normalization_fn(scaled_measure)
return measure
def file_opener(current_title, extension):
for filename in os.listdir(dest):
i = 0
if filename.endswith(file_type):
pass
if filename != current_title:
pass
if not filename.startswith(extension) and i == 0:
O = Opener()
path = os.path.join(dest, filename)
O.open(path)
i += 1
break
def combinestacks(directory, height=5):
"""Combine all tiff stacks in a directory to a panel.
Args:
directory: Path to a directory containing a collection of .tiff files.
height: The height of the panel (integer). Defaults to 5. The width is spaces automatically.
Returns:
A combined stack of the input images.
"""
IJ.log("\nCombining stacks...")
files = [
f for f in sorted(os.listdir(directory))
if os.path.isfile(os.path.join(directory, f))
]
IJ.log("Number of files: {}".format(len(files)))
groups = chunks(files, height)
horiz = []
for group in groups:
h = [Opener().openImage(directory, imfile) for imfile in group]
h = _horcombine(h)
# h.show()
horiz.append(h)
montage = _vercombine(horiz)
montage.show()
def openjpg(imagefile, metainfo, method='IJ',
series=0):
if method == 'IJ':
# using IJ static method
imp = IJ.openImage(imagefile)
if method == 'Opener':
# Using Opener class
imp = Opener().openImage(imagefile)
if method == 'BF':
# using BioFormats library
imps = BF.openImagePlus(imagefile)
# read image data using the specified pyramid level
imp, slices, width, height, pylevel = ImageTools.getImageSeries(imps, series=series)
metainfo['Output Slices'] = slices
metainfo['Output SizeX'] = width
metainfo['Output SizeY'] = height
return imp, metainfo
def main():
# Open a .ome.tif image from the Flexoscope.
impath = IJ.getFilePath("Choose .ome.tiff file")
channels = Opener.openUsingBioFormats(impath)
cal = channels.getCalibration()
# Show image
# imp.show() # straight to channels object sames memory.
# Split channels.
channels = ChannelSplitter().split(channels)
# Process channel 1.
# subtractzproject(imp, projectionMethod="Median")
channels[0] = subtractzproject(channels[0])
IJ.run(channels[0], "8-bit", "")
# Process channel 2.
# glidingprojection(imp, startframe=1, stopframe=None, glidingFlag=True, no_frames_per_integral=3, projectionmethod="Median")
channels[1] = glidingprojection(channels[1])
IJ.run(channels[1], "8-bit", "")
# [Optional] Process channel 3, 4, etc.
# subtractzproject(channels[3], projectionMethod="Median")
# glidingprojection(channels[3], startframe=1, stopframe=None, glidingFlag=True, no_frames_per_integral=3, projectionmethod="Median")
# IJ.run(channels[3], "8-bit", "")
# Merge channels.
merge = RGBStackMerge().mergeChannels(channels, True) # boolean keep
merge.setCalibration(cal)
merge.show()
def convert32to16(fullFilePath): #overwrite the file!!!
if not os.path.isfile(fullFilePath):
bPrintLog(
'\nERROR: runOneFile() did not find file: ' + fullFilePath + '\n',
0)
return 0
elif not fullFilePath.endswith('tif'):
msg = fullFilePath + " is not a deconvoluted tif file"
bPrintLog(msg, 2)
else:
bPrintLog(
time.strftime("%H:%M:%S") +
' starting runOneFile()for overwrite: ' + fullFilePath, 1)
#open and overwrite the deconvoluted file as 16 bit
imp = Opener().openImage(fullFilePath) #deconvoluted file
if imp.getBitDepth() == 32:
imp.show()
msgStr = "Converting 32 to 16-bit..."
bPrintLog(msgStr, 3)
IJ.run("16-bit")
msgStr = "Overwriting 32-bit with 16-bit File in" + fullFilePath
bPrintLog(msgStr, 3)
IJ.run(imp, "Save", "") #save as replace without asking
imp.close()
def get_enhance_bounds(chf_fpaths, low_theshold, high_threshold):
# initialize the pixels array
pix = []
# open 100 images max (time consuming)
if len(chf_fpaths) > 100:
chf_fpaths = random.sample(chf_fpaths, 100)
# create a for loop here
counter = 1
for image_path in chf_fpaths:
# open the image
print "Getting pixels in Image " + image_path
print str(counter) + " / " + str(len(chf_fpaths))
counter += 1
imp_orig = Opener().openImage(image_path)
# get the pixel values
image_pix = list(imp_orig.getProcessor().getPixels())
imp_orig.close()
imp_orig.flush()
# select randomly 10% of the pixels (maybe memory issues)
image_pix_sel = random.sample(image_pix, int(len(image_pix) * 0.1))
pix = pix + image_pix_sel
# get the percentile values to threshold
IJ.log('Quantifying pixel values for contrast enhancement...')
low_pix = percentile(pix, low_theshold)
high_pix = percentile(pix, high_threshold)
return low_pix, high_pix
def FindThreholds(mainpath, listOfImages, quantArray):
#initialize the pixels array
pix = []
#create a for loop here
for image in listOfImages:
#open the image
IJ.log('Getting pixels in Image ' + image)
imp_orig = Opener().openImage(mainpath + image)
imp_GB = blurImage(imp_orig)
imp_orig.close()
imp_GB.hide()
#get the pixel values
pix = getPixelValues(imp_GB, pix)
imp_GB.close()
#get the percentile values to threshold
IJ.log('Quantifying thresholds...')
percs = []
for q in quantArray:
percs.append(percentile(pix, q))
return percs
def batch_profile_from_threshold(batch_parameters):
'''
Thresholds the desired channel using the threshold method specified and saves the
roi profile in the csv_output.
Rois will be set to the width in pixels specified by stroke_width.
Provide a batch parameters dict to operate on images.
WIP:
PUT A BETTER ALGO IN PLACE TO DETERMINE THE CORRECT ROI TO USE.
'''
from ij.io import Opener
from IBPlib.ij.Utils.Files import buildList
opener = Opener()
rois_folder, csvs_folder = setup_output_folders(batch_parameters.get("output_folder"))
IJ.log("Plotting profiles...")
for i, img in enumerate(batch_parameters.get("analysed_images")):
progress = "{0}/{1}".format(i+1, len(batch_parameters.get("analysed_images")))
IJ.log("\n# Progress: {0}\n".format(progress))
imp = imageloader(img)
#title = os.path.basename(os.path.splitext(img)[0])
title = os.path.basename(img)
IJ.log("\nMeasuring -> {0}".format(title))
rois_path_list = buildList(rois_folder, extension=".roi")
rois = [opener.openRoi(roi) for roi in rois_path_list if roi.find(title) > 0]
if not rois:
IJ.log("## No rois found for {0}".format(title))
if not profile_from_threshold(imp, batch_parameters.get("analysis_ch"),
rois, batch_parameters.get("stroke_width"),
batch_parameters.get("th_method"), csvs_folder):
IJ.log("Batch run canceled.")
return
IJ.log("Done ...")
IJ.log("Results stored in '{0}'".format(csvs_folder))
def main():
indir = IJ.getDirectory("input directory")
outdir = IJ.getDirectory("output directory")
files = sorted(os.listdir(indir))
IJ.log("files: {}".format(files))
montages = []
for imfile in files:
IJ.log("File: {}/{}".format(files.index(imfile)+1, len(files)))
if imfile.endswith(".tif"):
imp = Opener().openImage(indir, imfile)
montage = makemontage(imp, hsize=6, vsize=6, increment=2)
_saveimage(montage, outdir)
def main():
indir = IJ.getDirectory("input directory")
outdir = IJ.getDirectory("output directory")
files = sorted(os.listdir(indir))
# IJ.log("files: {}".format(files))
# montages = []
for imfile in files:
IJ.log("File: {}/{}".format(files.index(imfile) + 1, len(files)))
if imfile.endswith(".tif"):
imp = Opener().openImage(indir, imfile)
channels = ChannelSplitter().split(imp)
name = outdir + imfile + "_t001_c001.tif"
IJ.run(channels[0], "Image Sequence... ",
"format=TIFF save={}".format(name))
def main():
# Get the wanted input and output directories.
indir = IJ.getDirectory("input directory")
outdir = IJ.getDirectory("output directory")
# Collect all files in the import directory and sort on file name.
files = sorted(os.listdir(indir))
# Loop through all input files.
montages = []
for imfile in files:
# Some optional feedback if you're impatient.
IJ.log("File: {}/{}".format(files.index(imfile) + 1, len(files)))
# Make montage of every .tiff file and save as .tiff in the output directory.
if imfile.endswith(".tif"):
imp = Opener().openImage(indir, imfile)
montage = makemontage(imp, hsize=6, vsize=6, increment=2)
saveimage(montage, outdir)
def iter_rois_fwhm(roi_path, img_path):
roi = readRois(roi_path)
img = Opener.openUsingBioFormats(img_path)
title = str(img.getShortTitle())
all_out = []
for i in roi.getIndexes():
roi.select(img, i)
x, y = getXY(img)
fwhm, r2, params = fit_curve(x, y)
all_out.append({
"fwhm": fwhm,
"r2": r2,
"roi_id": i,
"ch_n": 2,
"img_name": title,
"ch_name": "NaV1.6",
})
roi.close()
img.close()
return all_out
def convert32to16(fullFilePath): #overwrite the file!!!
if not os.path.isfile(fullFilePath):
bPrintLog('\nERROR: runOneFile() did not find file: ' + fullFilePath + '\n',0)
return 0
elif not fullFilePath.endswith('tif'):
msg = fullFilePath +" is not a deconvoluted tif file"
bPrintLog(msg,2)
else:
bPrintLog(time.strftime("%H:%M:%S") + ' starting runOneFile()for overwrite: ' + fullFilePath, 1)
#open and overwrite the deconvoluted file as 16 bit
imp = Opener().openImage(fullFilePath) #deconvoluted file
if imp.getBitDepth() == 32:
imp.show()
msgStr = "Converting 32 to 16-bit..."
bPrintLog(msgStr,3)
IJ.run("16-bit")
msgStr = "Overwriting 32-bit with 16-bit File in" + fullFilePath
bPrintLog(msgStr,3)
IJ.run(imp,"Save","") #save as replace without asking
imp.close()
def tethered_cell(image_path, frame_number=100, frame_rate=100.0, CCW=1):
"""
parameter setting; frame rate (frame/sec)
CCW = 1 : the motor rotation direction and the cell rotation direction on the image are same
CCW = -1: the motor rotation direction and the cell rotation direction on the image are different
"""
opener = Opener()
imp = opener.openImage(image_path)
image_slice_number = imp.getNSlices()
rm = RoiManager().getInstance()
if image_slice_number < frame_number: # too short movie
IJ.log('Number of frame of the movie is fewer than the number of frame that you selected')
return False
# create result directory
result_path = image_path + '_tethered_cell_result'
if os.path.lexists(result_path) is False:
os.mkdir(result_path)
#z projection; standard deviation, tethered cell shorws circle
IJ.run(imp, 'Subtract Background...', 'rolling=5 light stack')
IJ.run(imp, 'Median...', 'radius=2 stack')
IJ.run(imp, 'Z Project...', 'stop=500 projection=[Standard Deviation]')
zimp = IJ.getImage()
IJ.saveAs(zimp, 'bmp', os.path.join(result_path,'STD_DEV.bmp'))
# pick up tethered cell
IJ.setAutoThreshold(zimp, 'MaxEntropy dark')
IJ.run(zimp, 'Convert to Mask', '')
IJ.run('Set Measurements...', "area centroid bounding shape feret's limit redirect=None decimal=3")
IJ.run(zimp, 'Analyze Particles...', 'size=30-Infinity circularity=0.88-1.00 show=Nothing display exclude clear include')
zrt = ResultsTable.getResultsTable()
IJ.saveAs('Results', os.path.join(result_path,'RoiInfo.csv'))
#tcX and tcY are xy coordinates of tethered cell, tcdia is outer diameter of rotating tethered cell
#add ROI into stack image
for i in range(zrt.getCounter()):
tcX = zrt.getValue('X', i)
tcY = zrt.getValue('Y', i)
tcdia = zrt.getValue('Feret', i)
rm.add(imp, OvalRoi(tcX - tcdia/2.0, tcY - tcdia/2.0, tcdia + 1, tcdia + 1), i)
#calculate rotation speed by ellipse fitting
IJ.setAutoThreshold(imp, 'Li')
for roi_number in range(rm.getCount()):
t = []
XM = []
YM = []
theta = []
rotation_speed = []
area = []
imp.setRoi(rm.getRoi(roi_number))
cropped_imp = Duplicator().run(imp)
IJ.run('Set Measurements...', 'area mean center fit limit redirect=None decimal=3')
rm.select(roi_number)
rt = rm.multiMeasure(imp)
# check cell is present while analysis. Don't a cell gose anywhare?
for i in range(frame_number):
area.append(rt.getValue('Area1', i))
if 0 in area:
continue
for i in range(frame_number):
t.append((1/frame_rate)*i)
XM.append(rt.getValue('XM1', i))
YM.append(rt.getValue('YM1', i))
theta.append(rt.getValue('Angle1', i)/180.0*math.pi) # convert to radian
if i == 0:
rotation_speed.append(0)
else:
# phase treatment, theta should be -pi ~ pi
temp_rotation_speed = [theta[i] - theta[i-1],
theta[i] - theta[i-1] + math.pi,
theta[i] - theta[i-1] - math.pi,
theta[i] - theta[i-1] + 2*math.pi,
theta[i] - theta[i-1] - 2*math.pi]
temp_rotation_speed = sorted(temp_rotation_speed, key = lambda x :abs(x) )[0]
rotation_speed.append(CCW*temp_rotation_speed/(2.0*math.pi)*frame_rate)
# write csv
# earch columns indicate 1:index, 2:time(sec), 3:X-coordinate of center of mass(pixel), 4:Y-coordinate of center of mass (pixel), 5:Angle(Radian), 6:Rotation Speed(Hz)
with open(os.path.join(result_path,'Roi' + str(roi_number) + '.csv'), 'w') as f:
writer = csv.writer(f)
writer.writerow(['Index', 'time(s)', 'X', 'Y', 'Angle(rad)', 'Rotation Speed(Hz)'])
for i in range(len(t)):
writer.writerow([i, t[i], XM[i], YM[i], theta[i], rotation_speed[i]])
# plot x-y, t-x, t-y, t-rotation speed, save plot as bmp
plotRotation(roi_number, result_path, t, XM, YM, rotation_speed)
IJ.saveAs(cropped_imp, 'tiff', os.path.join(result_path,'Roi' + str(roi_number) + '.tiff'))
rt.reset()
# get analysis date and time
dt = datetime.datetime.today()
dtstr = dt.strftime('%Y-%m-%d %H:%M:%S')
# wtite analysis setting
with open(os.path.join(result_path,'analysis_setting.csv'), 'w') as f:
writer = csv.writer(f)
writer.writerow(['Analysis Date','frame number','frame rate','CCW direction', 'Method','Auto threshold', 'Subtruct Background', 'Median filter'])
writer.writerow([dtstr, frame_number, frame_rate, CCW, 'Ellipse', 'Li', '5.0', '2'])
# save roi
if rm.getCount() != 0:
rm.runCommand('Save', os.path.join(result_path, 'Roi.zip'))
zimp.close()
imp.close()
rm.close()
zrt.reset()
def runOneFile(fullFilePath):
global gFileType
global fileIndex
if not os.path.isfile(fullFilePath):
bPrintLog('\nERROR: runOneFile() did not find file: ' + fullFilePath + '\n',0)
return 0
bPrintLog(time.strftime("%H:%M:%S") + ' starting runOneFile(): ' + fullFilePath, 1)
bPrintLog('inputfile is:' + fullFilePath, 1)
enclosingPath = os.path.dirname(fullFilePath)
head, tail = os.path.split(enclosingPath) #tail is name of enclosing folder
enclosingPath += '/'
# make output folders
destFolder = enclosingPath + tail + '_short/'
if not os.path.isdir(destFolder):
os.makedirs(destFolder)
# open
if gFileType=='tif':
# open .tif image
imp = Opener().openImage(fullFilePath)
else:
# open .lsm
cmdStr = 'open=%s autoscale color_mode=Default view=Hyperstack stack_order=XYCZT' % (fullFilePath,)
IJ.run('Bio-Formats Importer', cmdStr)
lsmpath, lsmfilename = os.path.split(fullFilePath)
lsWindow = lsmfilename
imp = WindowManager.getImage(lsWindow)
# get parameters of image
(width, height, nChannels, nSlices, nFrames) = imp.getDimensions()
bitDepth = imp.getBitDepth()
infoStr = imp.getProperty("Info") #get all .tif tags
#print 'original infoStr:', infoStr
if not infoStr:
infoStr = ''
infoStr += 'ShortenNames_Version=' + str(gShortenVersion) + '\n'
infoStr += 'ShortenNames_Time=' + time.strftime("%Y%m%d") + '_' + time.strftime("%H%M%S") + '\n'
msgStr = 'w:' + str(width) + ' h:' + str(height) + ' slices:' + str(nSlices) \
+ ' channels:' + str(nChannels) + ' frames:' + str(nFrames) + ' bitDepth:' + str(bitDepth)
bPrintLog(msgStr, 1)
path, filename = os.path.split(fullFilePath)
shortName, fileExtension = os.path.splitext(filename)
#output file name
outFile = destFolder + tail + '_' + str(fileIndex) + '.tif'
fileIndex += 1
bPrintLog('output file is:' + outFile, 1)
# put original name in header
infoStr += 'ShortenNames_OriginalFile=' + fullFilePath + '\n'
# put scanimage header back in
imp.setProperty("Info", infoStr);
#save
bSaveStack(imp, outFile)
#
# close original window
imp.changes = 0
imp.close()
def runOneFile(fullFilePath):
global gFileType
global gNumChannels
global gAlignBatchVersion
if not os.path.isfile(fullFilePath):
bPrintLog('\nERROR: runOneFile() did not find file: ' + fullFilePath + '\n',0)
return 0
bPrintLog(time.strftime("%H:%M:%S") + ' starting runOneFile(): ' + fullFilePath, 1)
enclosingPath = os.path.dirname(fullFilePath)
head, tail = os.path.split(enclosingPath)
enclosingPath += '/'
#make output folders
destFolder = enclosingPath + tail + '_channels/'
if not os.path.isdir(destFolder):
os.makedirs(destFolder)
destMaxFolder = destFolder + 'max/'
if not os.path.isdir(destMaxFolder):
os.makedirs(destMaxFolder)
if gDoAlign:
destAlignmentFolder = destFolder + 'alignment/'
if not os.path.isdir(destAlignmentFolder):
os.makedirs(destAlignmentFolder)
if gSave8bit:
eightBitFolder = destFolder + 'channels8/'
if not os.path.isdir(eightBitFolder):
os.makedirs(eightBitFolder)
eightBitMaxFolder = eightBitFolder + 'max/'
if not os.path.isdir(eightBitMaxFolder):
os.makedirs(eightBitMaxFolder)
if gFileType=='tif':
# open .tif image
imp = Opener().openImage(fullFilePath)
else:
# open .lsm
cmdStr = 'open=%s autoscale color_mode=Default view=Hyperstack stack_order=XYCZT' % (fullFilePath,)
IJ.run('Bio-Formats Importer', cmdStr)
lsmpath, lsmfilename = os.path.split(fullFilePath)
lsWindow = lsmfilename
imp = WindowManager.getImage(lsWindow)
# get parameters of image
(width, height, nChannels, nSlices, nFrames) = imp.getDimensions()
bitDepth = imp.getBitDepth()
infoStr = imp.getProperty("Info") #get all .tif tags
if not infoStr:
infoStr = ''
infoStr += 'bAlignBatch_Version=' + str(gAlignBatchVersion) + '\n'
infoStr += 'bAlignBatch_Time=' + time.strftime("%Y%m%d") + '_' + time.strftime("%H%M%S") + '\n'
msgStr = 'w:' + str(width) + ' h:' + str(height) + ' slices:' + str(nSlices) \
+ ' channels:' + str(nChannels) + ' frames:' + str(nFrames) + ' bitDepth:' + str(bitDepth)
bPrintLog(msgStr, 1)
path, filename = os.path.split(fullFilePath)
shortName, fileExtension = os.path.splitext(filename)
#
# look for num channels in ScanImage infoStr
if gGetNumChanFromScanImage:
for line in infoStr.split('\n'):
#scanimage.SI4.channelsSave = [1;2]
scanimage4 = find(line, 'scanimage.SI4.channelsSave =') == 0
#state.acq.numberOfChannelsSave=2
scanimage3 = find(line, 'state.acq.numberOfChannelsSave=') == 0
if scanimage3:
#print 'line:', line
equalIdx = find(line, '=')
line2 = line[equalIdx+1:]
if gGetNumChanFromScanImage:
gNumChannels = int(line2)
bPrintLog('over-riding gNumChannels with: ' + str(gNumChannels), 2)
if scanimage4:
#print ' we have a scanimage 4 file ... now i need to exptract the number of channel'
#print 'line:', line
equalIdx = find(line, '=')
line2 = line[equalIdx+1:]
for delim in ';[]':
line2 = line2.replace(delim, ' ')
if gGetNumChanFromScanImage:
gNumChannels = len(line2.split())
bPrintLog('over-riding gNumChannels with: ' + str(gNumChannels), 2)
# show
imp.show()
# split channels if necc. and grab the original window names
if gNumChannels == 1:
origImpWinStr = imp.getTitle() #use this when only one channel
origImpWin = WindowManager.getWindow(origImpWinStr) #returns java.awt.Window
if gNumChannels == 2:
winTitle = imp.getTitle()
bPrintLog('Deinterleaving 2 channels...', 1)
IJ.run('Deinterleave', 'how=2 keep') #makes ' #1' and ' #2', with ' #2' frontmost
origCh1WinStr = winTitle + ' #1'
origCh2WinStr = winTitle + ' #2'
origCh1Imp = WindowManager.getImage(origCh1WinStr)
origCh2Imp = WindowManager.getImage(origCh2WinStr)
origCh1File = destFolder + shortName + '_ch1.tif'
origCh2File = destFolder + shortName + '_ch2.tif'
# work on a copy, mostly for alignment with cropping
copy = Duplicator().run(imp)
#copy.copyAttributes(imp) #don't copy attributes, it copies the name (which we do not want)
copy.show()
#
# crop (on copy)
if gDoCrop:
bPrintLog('making cropping rectangle (left,top,width,height) ',1)
bPrintLog(str(gCropLeft) + ' ' + str(gCropTop) + ' ' +str(gCropWidth) + ' ' +str(gCropHeight), 2)
roi = Roi(gCropLeft, gCropTop, gCropWidth, gCropHeight) #left,top,width,height
copy.setRoi(roi)
time.sleep(0.5) # otherwise, crop SOMETIMES failes. WHAT THE F**K FIJI DEVELOPERS, REALLY, WHAT THE F**K
#bPrintLog('cropping', 1)
IJ.run('Crop')
infoStr += 'bCropping=' + str(gCropLeft) + ',' + str(gCropTop) + ',' + str(gCropWidth) + ',' + str(gCropHeight) + '\n'
#
# remove calibration ( on original)
if gRemoveCalibration:
cal = imp.getCalibration()
calCoeff = cal.getCoefficients()
if calCoeff:
msgStr = 'Calibration is y=a+bx' + ' a=' + str(calCoeff[0]) + ' b=' + str(calCoeff[1])
bPrintLog(msgStr, 1)
#remove calibration
bPrintLog('\tRemoving Calibration', 2)
imp.setCalibration(None)
#without these, 8-bit conversion goes to all 0 !!! what the f**k !!!
#bPrintLog('calling imp.resetStack() and imp.resetDisplayRange()', 2)
imp.resetStack()
imp.resetDisplayRange()
#get and print out min/max
origMin = StackStatistics(imp).min
origMax = StackStatistics(imp).max
msgStr = '\torig min=' + str(origMin) + ' max=' + str(origMax)
bPrintLog(msgStr, 2)
# 20150723, 'shift everybody over by linear calibration intercept calCoeff[0] - (magic number)
if 1:
# [1] was this
#msgStr = 'Subtracting original min '+str(origMin) + ' from stack.'
#bPrintLog(msgStr, 2)
#subArgVal = 'value=%s stack' % (origMin,)
#IJ.run('Subtract...', subArgVal)
# [2] now this
#msgStr = 'Adding calCoeff[0] '+str(calCoeff[0]) + ' from stack.'
#bPrintLog(msgStr, 2)
#addArgVal = 'value=%s stack' % (int(calCoeff[0]),)
#IJ.run('Add...', addArgVal)
# [3] subtract a magic number 2^15-2^7 = 32768 - 128
magicNumber = gLinearShift #2^15 - 128
msgStr = 'Subtracting a magic number (linear shift) '+str(magicNumber) + ' from stack.'
bPrintLog(msgStr, 2)
infoStr += 'bLinearShift=' + str(gLinearShift) + '\n'
subArgVal = 'value=%s stack' % (gLinearShift,)
IJ.run(imp, 'Subtract...', subArgVal)
# 20150701, set any pixel <0 to 0
if 0:
ip = imp.getProcessor() # returns a reference
pixels = ip.getPixels() # returns a reference
msgStr = '\tSet all pixels <0 to 0. This was added 20150701 ...'
bPrintLog(msgStr, 2)
pixels = map(lambda x: 0 if x<0 else x, pixels)
bPrintLog('\t\t... done', 2)
#get and print out min/max
newMin = StackStatistics(imp).min
newMax = StackStatistics(imp).max
msgStr = '\tnew min=' + str(newMin) + ' max=' + str(newMax)
bPrintLog(msgStr, 2)
#append calibration to info string
infoStr += 'bCalibCoeff_a = ' + str(calCoeff[0]) + '\n'
infoStr += 'bCalibCoeff_b = ' + str(calCoeff[1]) + '\n'
infoStr += 'bNewMin = ' + str(newMin) + '\n'
infoStr += 'bNewMax = ' + str(newMax) + '\n'
#
# set up
if gNumChannels == 1:
impWinStr = copy.getTitle() #use this when only one channel
impWin = WindowManager.getWindow(impWinStr) #returns java.awt.Window
if gNumChannels == 2:
winTitle = copy.getTitle()
bPrintLog('Deinterleaving 2 channels...', 1)
IJ.run('Deinterleave', 'how=2 keep') #makes ' #1' and ' #2', with ' #2' frontmost
ch1WinStr = winTitle + ' #1'
ch2WinStr = winTitle + ' #2'
ch1Imp = WindowManager.getImage(ch1WinStr)
ch2Imp = WindowManager.getImage(ch2WinStr)
ch1File = destFolder + shortName + '_ch1.tif'
ch2File = destFolder + shortName + '_ch2.tif'
#
# alignment
if gDoAlign and gNumChannels == 1 and copy.getNSlices()>1:
infoStr += 'AlignOnChannel=1' + '\n'
#snap to middle slice
if gAlignOnMiddleSlice:
middleSlice = int(math.floor(copy.getNSlices() / 2)) #int() is necc., python is f*****g picky
else:
middleSlice = gAlignOnThisSlice
copy.setSlice(middleSlice)
transformationFile = destAlignmentFolder + shortName + '.txt'
bPrintLog('MultiStackReg aligning:' + impWinStr, 1)
stackRegParams = 'stack_1=[%s] action_1=Align file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body] save' %(impWin,transformationFile)
IJ.run('MultiStackReg', stackRegParams)
infoStr += 'AlignOnSlice=' + str(middleSlice) + '\n'
#20150723, we just aligned on a cropped copy, apply alignment to original imp
origImpTitle = imp.getTitle()
stackRegParams = 'stack_1=[%s] action_1=[Load Transformation File] file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body]' %(origImpTitle,transformationFile)
IJ.run('MultiStackReg', stackRegParams)
if gDoAlign and gNumChannels == 2 and ch1Imp.getNSlices()>1 and ch2Imp.getNSlices()>1:
#apply to gAlignThisChannel
alignThisWindow = ''
applyAlignmentToThisWindow = ''
if gAlignThisChannel == 1:
infoStr += 'AlignOnChannel=1' + '\n'
transformationFile = destAlignmentFolder + shortName + '_ch1.txt'
alignThisWindow = ch1WinStr
applyAlignmentToThisWindow = ch2WinStr
else:
infoStr += 'AlignOnChannel=2' + '\n'
transformationFile = destAlignmentFolder + shortName + '_ch2.txt'
alignThisWindow = ch2WinStr
applyAlignmentToThisWindow = ch1WinStr
alignThisImp = WindowManager.getImage(alignThisWindow)
#snap to middle slice
if gAlignOnMiddleSlice:
middleSlice = int(math.floor(alignThisImp.getNSlices() / 2)) #int() is necc., python is f*****g picky
else:
middleSlice = gAlignOnThisSlice
alignThisImp.setSlice(middleSlice)
infoStr += 'bAlignOnSlice=' + str(middleSlice) + '\n'
bPrintLog('MultiStackReg aligning:' + alignThisWindow, 1)
stackRegParams = 'stack_1=[%s] action_1=Align file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body] save' %(alignThisWindow,transformationFile)
IJ.run('MultiStackReg', stackRegParams)
# 20150723, we just aligned on a copy, apply alignment to both channels of original
# ch1
bPrintLog('MultiStackReg applying alignment to:' + origCh1WinStr, 1)
stackRegParams = 'stack_1=[%s] action_1=[Load Transformation File] file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body]' %(origCh1WinStr,transformationFile)
IJ.run('MultiStackReg', stackRegParams)
# ch2
bPrintLog('MultiStackReg applying alignment to:' + origCh2WinStr, 1)
stackRegParams = 'stack_1=[%s] action_1=[Load Transformation File] file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body]' %(origCh2WinStr,transformationFile)
IJ.run('MultiStackReg', stackRegParams)
#apply alignment to other window
#bPrintLog('MultiStackReg applying alignment to:' + applyAlignmentToThisWindow, 1)
#applyAlignThisImp = WindowManager.getImage(applyAlignmentToThisWindow)
#stackRegParams = 'stack_1=[%s] action_1=[Load Transformation File] file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body]' %(applyAlignmentToThisWindow,transformationFile)
#IJ.run('MultiStackReg', stackRegParams)
elif gDoAlign:
bPrintLog('Skipping alignment, there may be only one slice?',3)
#
# save
if gNumChannels == 1:
imp.setProperty("Info", infoStr);
impFile = destFolder + shortName + '.tif'
#bPrintLog('Saving:' + impFile, 1)
bSaveStack(imp, impFile)
#max project
bSaveZProject(imp, destMaxFolder, shortName)
if gNumChannels == 2:
#ch1
origCh1Imp.setProperty("Info", infoStr);
#bPrintLog('Saving:' + ch1File, 1)
bSaveStack(origCh1Imp, ch1File)
#max project
bSaveZProject(origCh1Imp, destMaxFolder, shortName+'_ch1')
#ch2
origCh2Imp.setProperty("Info", infoStr);
#bPrintLog('Saving:' + ch2File, 1)
bSaveStack(origCh2Imp, ch2File)
#max project
bSaveZProject(origCh2Imp, destMaxFolder, shortName+'_ch2')
#
# post convert to 8-bit and save
if gSave8bit:
if bitDepth == 16:
if gNumChannels == 1:
bPrintLog('Converting to 8-bit:' + impWinStr, 1)
IJ.selectWindow(impWinStr)
#IJ.run('resetMinAndMax()')
IJ.run("8-bit")
impFile = eightBitFolder + shortName + '.tif'
bPrintLog('Saving 8-bit:' + impFile, 2)
bSaveStack(imp, impFile)
#max project
bSaveZProject(imp, eightBitMaxFolder, shortName)
if gNumChannels == 2:
#
bPrintLog('Converting to 8-bit:' + origCh1WinStr, 1)
IJ.selectWindow(origCh1WinStr)
IJ.run("8-bit")
impFile = eightBitFolder + shortName + '_ch1.tif'
bPrintLog('Saving 8-bit:' + impFile, 2)
bSaveStack(origCh1Imp, impFile)
#max project
bSaveZProject(origCh1Imp, eightBitMaxFolder, shortName+'_ch1')
#
bPrintLog('Converting to 8-bit:' + origCh2WinStr, 1)
IJ.selectWindow(origCh2WinStr)
#IJ.run('resetMinAndMax()')
IJ.run("8-bit")
impFile = eightBitFolder + shortName + '_ch2.tif'
bPrintLog('Saving 8-bit:' + impFile, 2)
bSaveStack(origCh2Imp, impFile)
#max project
bSaveZProject(origCh2Imp, eightBitMaxFolder, shortName+'_ch2')
#
# close original window
imp.changes = 0
imp.close()
#copy
copy.changes = 0
copy.close()
#
# close ch1/ch2
if gNumChannels == 2:
#original
origCh1Imp.changes = 0
origCh1Imp.close()
origCh2Imp.changes = 0
origCh2Imp.close()
#copy
ch1Imp.changes = 0
ch1Imp.close()
ch2Imp.changes = 0
ch2Imp.close()
bPrintLog(time.strftime("%H:%M:%S") + ' finished runOneFile(): ' + fullFilePath, 1)
"analyzeCmStack": analyzeCmStack,
"rowNo": rowNo,
"colNo": colNo,
"nucMinSize": nucMinSize,
"cmMinSize": cmMinSize,
"allFileNames": allFileNames}
with open("savedSettings.json", "w+") as f:
json.dump(jsonStoreDict, f)
reList = []
for fileName in allFileNames:
match = re.match(formatString, fileName)
if match is None: continue
matchDict = match.groupdict()
matchDict['fileName'] = match.string
reList.append(matchDict)
opener = Opener()
bs = BackgroundSubtracter()
for outerPairs, group in getCombos(reList, groupBy).iteritems():
print(group)
nucIp, cmIp = openStitched(group, rowNo, colNo) if stitched else openUnstitched(group)
if nucIp is None or cmIp is None: continue
nucStack, cmStack = nucIp.getStack(), cmIp.getStack()
nucIpMedian = calcMedian(nucIp)
IJ.run(nucIp, "Subtract...", "value=" + str(nucIpMedian) + " stack")
nucIpForMeasure = nucIp.duplicate()
nucMaskIp = generateNucleusMask(nucIp, nucMethod, analyzeNucStack, nucMinSize)
cmIp, cmMaskIp = generateCardiomyocyteMask(cmIp, cmMethod, analyzeCmStack, cmMinSize, brightfield)
nucMaskIp.show()
nucIpForMeasure.show()
rm = RoiManager.getRoiManager()
rm.runCommand("Associate", "true")
def scaleandfilter(infile,outfile,scalex,scaley):
print ("infile is: "+infile)
imp = Opener().openImage(infile)
print imp
print "scalex = %f; scaley = %f" % (scalex,scaley)
# Rescale
ip = imp.getProcessor()
ip.setInterpolate(True)
sp = StackProcessor(imp.getStack(),ip);
sp2=sp.resize(int(round(ip.width * scalex)), int(round(ip.height *scaley)));
imp.setStack(imp.getTitle(),sp2);
cal = imp.getCalibration()
cal.pixelWidth /= scalex
cal.pixelHeight /= scaley
IJ.run(imp, "8-bit","")
intif=infile+".tif"
outtif=infile+"-filtered.tif"
print("saving input file as "+intif)
f=FileSaver(imp)
f.saveAsTiffStack(intif)
imp.close()
# anisotropic filtering
anisopts="-scanrange:10 -tau:2 -nsteps:2 -lambda:0.1 -ipflag:0 -anicoeff1:1 -anicoeff2:0 -anicoeff3:0"
anisopts=anisopts+" -dx:%f -dy:%f -dz:%f" % (cal.pixelWidth,cal.pixelHeight,cal.pixelDepth)
if sys.version_info > (2, 4):
#for testing
# subprocess.check_call(["cp",intif,outtif])
subprocess.check_call(["anisofilter"]+anisopts.split(' ')+[intif,outtif])
else:
os.system(" ".join(["anisofilter"]+anisopts.split(' ')+[intif,outtif]))
# Hessian (tubeness)
print("Opening output tif: "+outtif)
imp = Opener().openImage(outtif)
imp.setCalibration(cal)
print("Running tubeness on tif: "+outtif)
IJ.run(imp,"Tubeness", "sigma=1")
IJ.run(imp, "8-bit","")
# Save to PIC
print("Saving as PIC: "+outfile)
# IJ.saveAs("tiff","outtif")
IJ.run(imp,"Biorad ...", "biorad="+outfile)
def runOneFile(fullFilePath):
global gNumChannels
if not os.path.isfile(fullFilePath):
bPrintLog('\nERROR: runOneFile() did not find file: ' + fullFilePath + '\n',0)
return 0
bPrintLog(time.strftime("%H:%M:%S") + ' starting runOneFile(): ' + fullFilePath, 1)
enclosingPath = os.path.dirname(fullFilePath)
head, tail = os.path.split(enclosingPath)
enclosingPath += '/'
#make output folders
destFolder = enclosingPath + tail + '_channels/'
if not os.path.isdir(destFolder):
os.makedirs(destFolder)
destMaxFolder = destFolder + 'max/'
if not os.path.isdir(destMaxFolder):
os.makedirs(destMaxFolder)
if gDoAlign:
destAlignmentFolder = destFolder + 'alignment/'
if not os.path.isdir(destAlignmentFolder):
os.makedirs(destAlignmentFolder)
if gSave8bit:
eightBitFolder = destFolder + 'channels8/'
if not os.path.isdir(eightBitFolder):
os.makedirs(eightBitFolder)
eightBitMaxFolder = eightBitFolder + 'max/'
if not os.path.isdir(eightBitMaxFolder):
os.makedirs(eightBitMaxFolder)
# open image
imp = Opener().openImage(fullFilePath)
# get parameters of image
(width, height, nChannels, nSlices, nFrames) = imp.getDimensions()
bitDepth = imp.getBitDepth()
infoStr = imp.getProperty("Info") #get all .tif tags
if not infoStr:
infoStr = ''
msgStr = 'w:' + str(width) + ' h:' + str(height) + ' slices:' + str(nSlices) \
+ ' channels:' + str(nChannels) + ' frames:' + str(nFrames) + ' bitDepth:' + str(bitDepth)
bPrintLog(msgStr, 1)
path, filename = os.path.split(fullFilePath)
shortName, fileExtension = os.path.splitext(filename)
#this is too much work for ScanImage4
#try and guess channels if it is a scanimage file
#scanImage3 = string.find(infoStr, 'scanimage') != -1
#scanimage4 = find(infoStr, 'scanimage.SI4.channelSave = ')
#print 'scanimage4:', scanimage4
#
# look for num channels in ScanImage infoStr
if gGetNumChanFromScanImage:
for line in infoStr.split('\n'):
#scanimage.SI4.channelsSave = [1;2]
scanimage4 = find(line, 'scanimage.SI4.channelsSave =') == 0
#state.acq.numberOfChannelsSave=2
scanimage3 = find(line, 'state.acq.numberOfChannelsSave=') == 0
if scanimage3:
#print 'line:', line
equalIdx = find(line, '=')
line2 = line[equalIdx+1:]
if gGetNumChanFromScanImage:
gNumChannels = int(line2)
bPrintLog('over-riding gNumChannels with: ' + str(gNumChannels), 2)
if scanimage4:
#print ' we have a scanimage 4 file ... now i need to exptract the number of channel'
#print 'line:', line
equalIdx = find(line, '=')
line2 = line[equalIdx+1:]
for delim in ';[]':
line2 = line2.replace(delim, ' ')
if gGetNumChanFromScanImage:
gNumChannels = len(line2.split())
bPrintLog('over-riding gNumChannels with: ' + str(gNumChannels), 2)
# show
imp.show()
infoStr += 'bAlignBatch6=' + time.strftime("%Y%m%d") + '\n'
#
# crop
if gDoCrop:
bPrintLog('making cropping rectangle (left,top,width,height) ',1)
bPrintLog(str(gCropLeft) + ' ' + str(gCropTop) + ' ' +str(gCropWidth) + ' ' +str(gCropHeight), 2)
roi = Roi(gCropLeft, gCropTop, gCropWidth, gCropHeight) #left,top,width,height
imp.setRoi(roi)
#time.sleep(1)
#bPrintLog('cropping', 1)
IJ.run('Crop')
infoStr += 'cropping=' + str(gCropLeft) + ',' + str(gCropTop) + ',' + str(gCropWidth) + ',' + str(gCropHeight) + '\n'
#
# remove negative (<0) pixel values
#ip = imp.getProcessor()
#pixels = ip.getPixels() # this returns a reference (not a copy)
#for i in xrange(len(pixels)):
# if pixels[i] < 0:
# pixels[i] = 0
# or this, for each pixel 'x', if x<0 then 0 else x
#pixels = map(lambda x: 0 if x<0 else x, pixels)
#set our new values (without pixels <0) back into original (I hope this handles stacks and channels???)
#ip.setPixels(pixels)
#
# remove calibration
if gRemoveCalibration:
cal = imp.getCalibration()
calCoeff = cal.getCoefficients()
if calCoeff:
msgStr = 'Calibration is y=a+bx' + ' a=' + str(calCoeff[0]) + ' b=' + str(calCoeff[1])
bPrintLog(msgStr, 1)
#remove calibration
bPrintLog('\tRemoving Calibration', 2)
imp.setCalibration(None)
#get and print out min/max
origMin = StackStatistics(imp).min
origMax = StackStatistics(imp).max
msgStr = '\torig min=' + str(origMin) + ' max=' + str(origMax)
bPrintLog(msgStr, 2)
#msgStr = 'adding calCoeff[0]='+str(calCoeff[0]) + ' to stack.'
#bPrintLog(msgStr, 2)
#subArgVal = 'value=%s stack' % (calCoeff[0],)
#IJ.run('Add...', subArgVal)
# 20150701, 'shift everybody over by linear calibration intercept calCoeff[0]'
if 1:
# [1] was this
#msgStr = 'Subtracting original min '+str(origMin) + ' from stack.'
#bPrintLog(msgStr, 2)
#subArgVal = 'value=%s stack' % (origMin,)
#IJ.run('Subtract...', subArgVal)
# [2] now this
#msgStr = 'Adding calCoeff[0] '+str(calCoeff[0]) + ' from stack.'
#bPrintLog(msgStr, 2)
#addArgVal = 'value=%s stack' % (int(calCoeff[0]),)
#IJ.run('Add...', addArgVal)
# [3] subtract a magic number 2^15-2^7 = 32768 - 128
magicNumber = 32768 - 128
msgStr = 'Subtracting a magic number '+str(magicNumber) + ' from stack.'
bPrintLog(msgStr, 2)
subArgVal = 'value=%s stack' % (origMin,)
IJ.run('Subtract...', subArgVal)
# 20150701, set any pixel <0 to 0
if 0:
ip = imp.getProcessor() # returns a reference
pixels = ip.getPixels() # returns a reference
msgStr = '\tSet all pixels <0 to 0. This was added 20150701 ...'
bPrintLog(msgStr, 2)
pixels = map(lambda x: 0 if x<0 else x, pixels)
bPrintLog('\t\t... done', 2)
#get and print out min/max
newMin = StackStatistics(imp).min
newMax = StackStatistics(imp).max
msgStr = '\tnew min=' + str(newMin) + ' max=' + str(newMax)
bPrintLog(msgStr, 2)
#without these, 8-bit conversion goes to all 0 !!! what the f**k !!!
#bPrintLog('calling imp.resetStack() and imp.resetDisplayRange()', 2)
imp.resetStack()
imp.resetDisplayRange()
#append calibration to info string
infoStr += 'calibCoeff_a = ' + str(calCoeff[0]) + '\n'
infoStr += 'calibCoeff_b = ' + str(calCoeff[1]) + '\n'
infoStr += 'origMin = ' + str(origMin) + '\n'
infoStr += 'origMax = ' + str(origMax) + '\n'
#
# set up
if gNumChannels == 1:
impWinStr = imp.getTitle() #use this when only one channel
impWin = WindowManager.getWindow(impWinStr) #returns java.awt.Window
if gNumChannels == 2:
winTitle = imp.getTitle()
bPrintLog('Deinterleaving 2 channels...', 1)
IJ.run('Deinterleave', 'how=2 keep') #makes ' #1' and ' #2', with ' #2' frontmost
ch1WinStr = winTitle + ' #1'
ch2WinStr = winTitle + ' #2'
ch1Imp = WindowManager.getImage(ch1WinStr)
ch2Imp = WindowManager.getImage(ch2WinStr)
ch1File = destFolder + shortName + '_ch1.tif'
ch2File = destFolder + shortName + '_ch2.tif'
#
# alignment
if gDoAlign and gNumChannels == 1 and imp.getNSlices()>1:
infoStr += 'AlignOnChannel=1' + '\n'
#snap to middle slice
if gAlignOnMiddleSlice:
middleSlice = int(math.floor(imp.getNSlices() / 2)) #int() is necc., python is f*****g picky
else:
middleSlice = gAlignOnThisSlice
imp.setSlice(middleSlice)
transformationFile = destAlignmentFolder + shortName + '.txt'
bPrintLog('MultiStackReg aligning:' + impWinStr, 1)
stackRegParams = 'stack_1=[%s] action_1=Align file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body] save' %(impWin,transformationFile)
IJ.run('MultiStackReg', stackRegParams)
infoStr += 'AlignOnSlice=' + str(middleSlice) + '\n'
if gDoAlign and gNumChannels == 2 and ch1Imp.getNSlices()>1 and ch2Imp.getNSlices()>1:
#apply to gAlignThisChannel
alignThisWindow = ''
applyAlignmentToThisWindow = ''
if gAlignThisChannel == 1:
infoStr += 'AlignOnChannel=1' + '\n'
transformationFile = destAlignmentFolder + shortName + '_ch1.txt'
alignThisWindow = ch1WinStr
applyAlignmentToThisWindow = ch2WinStr
else:
infoStr += 'AlignOnChannel=2' + '\n'
transformationFile = destAlignmentFolder + shortName + '_ch2.txt'
alignThisWindow = ch2WinStr
applyAlignmentToThisWindow = ch1WinStr
alignThisImp = WindowManager.getImage(alignThisWindow)
#snap to middle slice
if gAlignOnMiddleSlice:
middleSlice = int(math.floor(alignThisImp.getNSlices() / 2)) #int() is necc., python is f*****g picky
else:
middleSlice = gAlignOnThisSlice
alignThisImp.setSlice(middleSlice)
infoStr += 'AlignOnSlice=' + str(middleSlice) + '\n'
bPrintLog('MultiStackReg aligning:' + alignThisWindow, 1)
stackRegParams = 'stack_1=[%s] action_1=Align file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body] save' %(alignThisWindow,transformationFile)
IJ.run('MultiStackReg', stackRegParams)
#apply alignment to other window
bPrintLog('MultiStackReg applying alignment to:' + applyAlignmentToThisWindow, 1)
applyAlignThisImp = WindowManager.getImage(applyAlignmentToThisWindow)
stackRegParams = 'stack_1=[%s] action_1=[Load Transformation File] file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body]' %(applyAlignmentToThisWindow,transformationFile)
IJ.run('MultiStackReg', stackRegParams)
elif gDoAlign:
bPrintLog('Skipping alignment, there may be only one slice?',3)
#
# save
if gNumChannels == 1:
imp.setProperty("Info", infoStr);
impFile = destFolder + shortName + '.tif'
#bPrintLog('Saving:' + impFile, 1)
bSaveStack(imp, impFile)
#max project
bSaveZProject(imp, destMaxFolder, shortName)
if gNumChannels == 2:
#ch1
ch1Imp.setProperty("Info", infoStr);
#bPrintLog('Saving:' + ch1File, 1)
bSaveStack(ch1Imp, ch1File)
#max project
bSaveZProject(ch1Imp, destMaxFolder, shortName+'_ch1')
#ch2
ch2Imp.setProperty("Info", infoStr);
#bPrintLog('Saving:' + ch2File, 1)
bSaveStack(ch2Imp, ch2File)
#max project
bSaveZProject(ch2Imp, destMaxFolder, shortName+'_ch2')
#
# post convert to 8-bit and save
if gSave8bit:
if bitDepth == 16:
if gNumChannels == 1:
bPrintLog('Converting to 8-bit:' + impWinStr, 1)
IJ.selectWindow(impWinStr)
#IJ.run('resetMinAndMax()')
IJ.run("8-bit")
impFile = eightBitFolder + shortName + '.tif'
bPrintLog('Saving 8-bit:' + impFile, 2)
bSaveStack(imp, impFile)
#max project
bSaveZProject(imp, eightBitMaxFolder, shortName)
if gNumChannels == 2:
#
bPrintLog('Converting to 8-bit:' + ch1WinStr, 1)
IJ.selectWindow(ch1WinStr)
#IJ.run('resetMinAndMax()')
#ch1Imp.resetStack()
#ch1Imp.resetDisplayRange()
IJ.run("8-bit")
impFile = eightBitFolder + shortName + '_ch1.tif'
bPrintLog('Saving 8-bit:' + impFile, 2)
bSaveStack(ch1Imp, impFile)
#max project
bSaveZProject(ch1Imp, eightBitMaxFolder, shortName+'_ch1')
#
bPrintLog('Converting to 8-bit:' + ch2WinStr, 1)
IJ.selectWindow(ch2WinStr)
#IJ.run('resetMinAndMax()')
IJ.run("8-bit")
impFile = eightBitFolder + shortName + '_ch2.tif'
bPrintLog('Saving 8-bit:' + impFile, 2)
bSaveStack(ch2Imp, impFile)
#max project
bSaveZProject(ch2Imp, eightBitMaxFolder, shortName+'_ch2')
#
# close original window
imp.changes = 0
imp.close()
#
# close ch1/ch2
if 1 and gNumChannels == 2:
ch1Imp.changes = 0
ch1Imp.close()
ch2Imp.changes = 0
ch2Imp.close()
bPrintLog(time.strftime("%H:%M:%S") + ' finished runOneFile(): ' + fullFilePath, 1)
rois_path_list = buildList(rois_folder, extension=".roi")
rois = [opener.openRoi(roi) for roi in rois_path_list if roi.find(title) > 0]
if not rois:
IJ.log("## No rois found for {0}".format(title))
if not profile_from_threshold(imp, batch_parameters.get("analysis_ch"),
rois, batch_parameters.get("stroke_width"),
batch_parameters.get("th_method"), csvs_folder):
IJ.log("Batch run canceled.")
return
IJ.log("Done ...")
IJ.log("Results stored in '{0}'".format(csvs_folder))
if __name__ in ("__builtin__", "__main__"):
from ij.io import Opener
opener = Opener()
roi_path = r"R:\Igor BP\Projects\Let-805\Raw Data\Microscopies\Yokogawa Spinning Disk\let-805(syb381)\L4\63x OIL\let-805 localization data\Reanalysis\rois\C2-1.tif_0.roi"
imp = imageloader(r"R:\\Igor BP\\Projects\\Let-805\\Raw Data\\Microscopies\\Yokogawa Spinning Disk\\let-805(syb381)\\L4\\63x OIL\\zprojections\\Stiched\\1.tif")
roi = opener.openRoi(roi_path)
ch = 1
rois = [roi]
output = r"C:\Users\uqibonac\Desktop\test"
th_method = "Li"
analysis_ch = 2
stroke_width = 5
print("Running ...")
print(profile_from_threshold(imp, analysis_ch, rois, stroke_width, th_method, output))
print("Run finished...")
straight_length, distance_from_stem_apical, angle,
convexfull_area)
col_name = [
"file_path", "exec_times", "roi_id", "types", "curve_length",
"straight_length", "distance_from_stem_apical", "angle", "convexfull_area"
]
csv_path = os.path.join(get_file_info()[0],
get_file_info()[1] + "_analyze.csv")
# ファイルに内容がある場合は何もせず, 内容がないときだけカラムを書き込む
with open(csv_path, "a") as f1:
with open(csv_path, "r") as f2:
s = f2.read()
if s == "":
with open(csv_path, "w") as f3:
writer = csv.writer(f3)
writer.writerow(col_name)
# 上書きモードで値を書き込む
with open(csv_path, "a") as f:
writer = csv.writer(f)
writer.writerows(for_csv_row)
# saveしたあとにoverlayに書き込んで線を青色に変える。
save_roi_set(imp=IJ.getImage())
# table上に表示する
op = Opener()
op.openTable(csv_path)
image_basenames = list(set(image_basenames))
print(image_basenames)
ImageJ()
for i in image_basenames:
print(i)
cur_images = []
for j in image_list:
m = re.search(i, j)
if m:
cur_images.append(j)
# imp_c1 = IJ.openImage(cur_images[0])
# imp_c2 = IJ.openImage(cur_images[1])
image_path = image_directory + cur_images[2]
imp_c3 = Opener.openUsingBioFormats(image_path)
imp_c3.show()
save_name = image_directory + '/Stacks/' + i + 'merged.tif'
IJ.saveAsTiff(imp_c3, save_name)
# merge_string = "c1=" + cur_images[0] + " c2=" + cur_images[1] + " create";
# IJ.run("Merge Channels...", merge_string)
IJ.run('Z Project...', 'projection=[Max Intensity] all')
IJ.run('Enhance Contrast...', 'saturated=0.05')
max_im = IJ.getImage()
save_name = image_directory + '/MaxZProj/' + i + 'MaxZProj.tif'
IJ.saveAsTiff(max_im, save_name)
IJ.run('Close All')
gc.collect()
IJ.run('Close All')
def __init__(self, filepath):
"""
Load an image or stack from filepath.
Args:
filepath (str): Full path to an image file. Can be .tif, .lsm, .czi, etc
"""
if not os.path.isfile(filepath):
bPrintLog('ERROR: bImp() did not find file: ' + filepath,0)
return 0
self.filepath = filepath
folderpath, filename = os.path.split(filepath)
self.filename = filename
self.enclosingPath = folderpath
self.enclosingfolder = os.path.split(folderpath)[1]
self.dateStr = ''
self.timeStr = ''
self.imp = None
tmpBaseName, extension = os.path.splitext(filename)
isZeiss = extension in ['.czi', '.lsm']
self.islsm = extension == '.lsm'
self.isczi = extension == '.czi'
istif = extension == '.tif'
if istif:
# scanimage3 comes in with dimensions: [512, 512, 1, 52, 1]) = [width, height, numChannels, numSlices, numFrames]
self.imp = Opener().openImage(filepath)
self.imp.show()
elif isZeiss:
#open lsm using LOCI Bio-Formats
options = ImporterOptions()
#options.setColorMode(ImporterOptions.COLOR_MODE_GRAYSCALE)
options.setId(filepath)
imps = BF.openImagePlus(options)
for imp in imps:
self.imp = imp #WindowManager.getImage(self.windowname)
imp.show()
if not self.imp:
bPrintLog('ERROR: bImp() was not able to open file: '+ filepath,0)
self.windowname = filename
#self.imp = WindowManager.getImage(self.windowname)
# numChannels is not correct for scanimage, corrected in readTiffHeader()
(width, height, numChannels, numSlices, numFrames) = self.imp.getDimensions()
self.width = width # pixelsPerLine
self.height = height # linesPerFrame
self.numChannels = numChannels
self.numSlices = numSlices
self.numFrames = numFrames
self.infoStr = self.imp.getProperty("Info") #get all tags
self.voxelx = 1
self.voxely = 1
self.voxelz = 1
#self.numChannels = 1
#self.bitsPerPixel = 8
self.zoom = 1
self.motorx = None
self.motory = None
self.motorz = None
self.scanImageVersion = ''
self.msPerLine = None
self.dwellTime = None
# read file headers (date, time, voxel size)
if isZeiss:
self.readZeissHeader(self.infoStr)
elif istif:
self.readTiffHeader(self.infoStr)
self.updateInfoStr()
self.channelWindows = []
self.channelImp = []
if self.numChannels == 1:
self.channelWindows.append(self.windowname)
self.channelImp.append(self.imp)
else:
self.deinterleave()
# create list of match objects of .tiff files in directory
regEx = re.compile('(?!ppcd_)(?P<prefix>.+).tiff?$', re.IGNORECASE)
moFileList = [] # match object File list
for fileName in listdir(path):
if regEx.match(fileName): # if matches RE, add to list
moFileList.append(regEx.match(fileName))
if moFileList == []:
IJ.showMessage("Input Exception", "No unprocessed images found in the directory you selected.")
raise IOError("No unpocessed TIFFs found in this folder.")
for image in moFileList:
print "Processing cell " + image.group() + " (" + str(moFileList.index(image)+1) + "/" + str(len(moFileList)) + ")"
IJ.log("Processing cell " + image.group() + " (" + str(moFileList.index(image)+1) + "/" + str(len(moFileList)) + ")")
imp = Opener().openImage(path + image.group()) # open Image
#if imp.getBitDepth() != 8: # converting to 8 bit if
# ImageConverter(imp).convertToGray8()
roi = imp.roi
imps = CS.split(imp)
ppc = PPC()
for aimp in imps:
ppc.setImp(aimp)
ppc.run()
if roi != None:
aimp.setRoi(roi)
for n in range(1, aimp.getImageStackSize()+1):
aimp.getImageStack().getProcessor(n).fillOutside(roi)
aimp.killRoi()
final = StackMerge.mergeChannels(imps, False)
final.copyScale(imp) # copyscale from .copyscale
moFileList = [] # match object File list
for fileName in listdir(inputDir):
if regEx.match(fileName): # if matches RE, add to list
moFileList.append(regEx.match(fileName))
print "Will process files ", moFileList
if moFileList == []:
IJ.showMessage("Input Exception", "Directory does not contain any preprocessed images.")
raise IOError("Input Exception: Directory does not contain any preprocessed images.")
if not pth.exists(saveFolder): # check if directory for analysis-files is present
makedirs(saveFolder)
for image in moFileList: # get rid of 0!
print "starting with cell " + image.group() + " " + "("+ str(moFileList.index(image)) + "/" + str(len(moFileList)) + ")"
imp = Opener().openImage(inputDir + image.group()) # open Image
# read calibration for later calculation of distances in um.
calibration = imp.getCalibration()
pxWidth = calibration.pixelWidth
print "px depth", calibration.pixelDepth
timeInterval = round(calibration.frameInterval)
#start measurement
splitCh = CS.split(imp) # split channels
#try:
ATA().segAndMeasure(splitCh[0], splitCh[1]) # perform segmentation and measurement
#else: go to next element in moFileList
# move image to "segProblem" folder
# continue
WindowManager.getImage("binProjMerged").close()
for filename in filenames: match = re.search(pattern, filename) if match is not None: #print filename, match.group(3) GRlist.append(match.group(3)) print srcDir print 'files: ', len(GRlist) GRlist = sorted(GRlist) timeseries = [] for timepoint in GRlist: thisfile = basename + '_R' + repetition + '_GR' + timepoint + '_B' + block + '_L' + location + '.lsm' print thisfile imp = Opener.openUsingBioFormats(os.path.join(srcDir, thisfile)) imp.setOpenAsHyperStack(False) timeseries.append(imp) newname = basename + '_R' + repetition + '_B' + block + '_L' + location + '.lsm' calib = timeseries[0].getCalibration() dimA = timeseries[0].getDimensions() jaimp = array(timeseries, ImagePlus) ccc = Concatenator() #allimp = ccc.concatenateHyperstacks(jaimp, newname, False) allimp = ccc.concatenate(jaimp, False) allimp.setDimensions(dimA[2], dimA[3], len(GRlist)) allimp.setCalibration(calib) allimp.setOpenAsHyperStack(True) allimp.show()
def runOneFile(fullFilePath):
global gFileType
global fileIndex
if not os.path.isfile(fullFilePath):
bPrintLog(
'\nERROR: runOneFile() did not find file: ' + fullFilePath + '\n',
0)
return 0
bPrintLog(
time.strftime("%H:%M:%S") + ' starting runOneFile(): ' + fullFilePath,
1)
bPrintLog('inputfile is:' + fullFilePath, 1)
enclosingPath = os.path.dirname(fullFilePath)
head, tail = os.path.split(
enclosingPath) #tail is name of enclosing folder
enclosingPath += '/'
# make output folders
destFolder = enclosingPath + tail + '_short/'
if not os.path.isdir(destFolder):
os.makedirs(destFolder)
# open
if gFileType == 'tif':
# open .tif image
imp = Opener().openImage(fullFilePath)
else:
# open .lsm
cmdStr = 'open=%s autoscale color_mode=Default view=Hyperstack stack_order=XYCZT' % (
fullFilePath, )
IJ.run('Bio-Formats Importer', cmdStr)
lsmpath, lsmfilename = os.path.split(fullFilePath)
lsWindow = lsmfilename
imp = WindowManager.getImage(lsWindow)
# get parameters of image
(width, height, nChannels, nSlices, nFrames) = imp.getDimensions()
bitDepth = imp.getBitDepth()
infoStr = imp.getProperty("Info") #get all .tif tags
#print 'original infoStr:', infoStr
if not infoStr:
infoStr = ''
infoStr += 'ShortenNames_Version=' + str(gShortenVersion) + '\n'
infoStr += 'ShortenNames_Time=' + time.strftime(
"%Y%m%d") + '_' + time.strftime("%H%M%S") + '\n'
msgStr = 'w:' + str(width) + ' h:' + str(height) + ' slices:' + str(nSlices) \
+ ' channels:' + str(nChannels) + ' frames:' + str(nFrames) + ' bitDepth:' + str(bitDepth)
bPrintLog(msgStr, 1)
path, filename = os.path.split(fullFilePath)
shortName, fileExtension = os.path.splitext(filename)
#output file name
outFile = destFolder + tail + '_' + str(fileIndex) + '.tif'
fileIndex += 1
bPrintLog('output file is:' + outFile, 1)
# put original name in header
infoStr += 'ShortenNames_OriginalFile=' + fullFilePath + '\n'
# put scanimage header back in
imp.setProperty("Info", infoStr)
#save
bSaveStack(imp, outFile)
#
# close original window
imp.changes = 0
imp.close()
str(MouseID) + " contains " + str(number_of_channels_in_mouse) +
" distinct channels")
# run the function for each of the channels
for channel in range(1, (number_of_channels_in_mouse + 1)):
channel_files = getChannelFiles(MouseIDFiles, channel)
# get the full path
chf_fpaths = [path.join(In_dir, x) for x in channel_files]
# get the minimum and maximum pixel value
min_pixval, max_pixval = get_enhance_bounds(
chf_fpaths, low_theshold, high_threshold)
IJ.log("Found pixel bounds " + str(min_pixval) + " and " +
str(max_pixval) + " for channel " + str(channel))
counter = 1
for chfile in chf_fpaths:
# open file
ch_img = Opener().openImage(chfile)
ch_tit = ch_img.getTitle()
# adjust contrast
ch_img.getProcessor().setMinAndMax(min_pixval, max_pixval)
# convert to 8-bit (which also applies the contrast)
ImageConverter(ch_img).convertToGray8()
# save
IJ.saveAsTiff(ch_img, path.join(Out_dir, ch_tit))
# close and flush
ch_img.close()
ch_img.flush()
print("Image " + str(counter) + " of " + str(len(chf_fpaths)) +
" processed")
counter += 1
IJ.log('Mouse ' + MouseID + ' processed')
def runOneFile(fullFilePath):
global gNumChannels
global gAlignBatchVersion
if not os.path.isfile(fullFilePath):
bPrintLog(
'\nERROR: runOneFile() did not find file: ' + fullFilePath + '\n',
0)
return 0
bPrintLog(
time.strftime("%H:%M:%S") + ' starting runOneFile(): ' + fullFilePath,
1)
enclosingPath = os.path.dirname(fullFilePath)
head, tail = os.path.split(enclosingPath)
enclosingPath += '/'
#make output folders
destFolder = enclosingPath + tail + '_channels/'
if not os.path.isdir(destFolder):
os.makedirs(destFolder)
destMaxFolder = destFolder + 'max/'
if not os.path.isdir(destMaxFolder):
os.makedirs(destMaxFolder)
if gDoAlign:
destAlignmentFolder = destFolder + 'alignment/'
if not os.path.isdir(destAlignmentFolder):
os.makedirs(destAlignmentFolder)
if gSave8bit:
eightBitFolder = destFolder + 'channels8/'
if not os.path.isdir(eightBitFolder):
os.makedirs(eightBitFolder)
eightBitMaxFolder = eightBitFolder + 'max/'
if not os.path.isdir(eightBitMaxFolder):
os.makedirs(eightBitMaxFolder)
# open image
imp = Opener().openImage(fullFilePath)
# get parameters of image
(width, height, nChannels, nSlices, nFrames) = imp.getDimensions()
bitDepth = imp.getBitDepth()
infoStr = imp.getProperty("Info") #get all .tif tags
if not infoStr:
infoStr = ''
infoStr += 'bAlignBatch_Version=' + str(gAlignBatchVersion) + '\n'
infoStr += 'bAlignBatch_Time=' + time.strftime(
"%Y%m%d") + '_' + time.strftime("%H%M%S") + '\n'
msgStr = 'w:' + str(width) + ' h:' + str(height) + ' slices:' + str(nSlices) \
+ ' channels:' + str(nChannels) + ' frames:' + str(nFrames) + ' bitDepth:' + str(bitDepth)
bPrintLog(msgStr, 1)
path, filename = os.path.split(fullFilePath)
shortName, fileExtension = os.path.splitext(filename)
#
# look for num channels in ScanImage infoStr
if gGetNumChanFromScanImage:
for line in infoStr.split('\n'):
#scanimage.SI4.channelsSave = [1;2]
scanimage4 = find(line, 'scanimage.SI4.channelsSave =') == 0
#state.acq.numberOfChannelsSave=2
scanimage3 = find(line, 'state.acq.numberOfChannelsSave=') == 0
if scanimage3:
#print 'line:', line
equalIdx = find(line, '=')
line2 = line[equalIdx + 1:]
if gGetNumChanFromScanImage:
gNumChannels = int(line2)
bPrintLog(
'over-riding gNumChannels with: ' + str(gNumChannels),
2)
if scanimage4:
#print ' we have a scanimage 4 file ... now i need to exptract the number of channel'
#print 'line:', line
equalIdx = find(line, '=')
line2 = line[equalIdx + 1:]
for delim in ';[]':
line2 = line2.replace(delim, ' ')
if gGetNumChanFromScanImage:
gNumChannels = len(line2.split())
bPrintLog(
'over-riding gNumChannels with: ' + str(gNumChannels),
2)
# show
imp.show()
# split channels if necc. and grab the original window names
if gNumChannels == 1:
origImpWinStr = imp.getTitle() #use this when only one channel
origImpWin = WindowManager.getWindow(
origImpWinStr) #returns java.awt.Window
if gNumChannels == 2:
winTitle = imp.getTitle()
bPrintLog('Deinterleaving 2 channels...', 1)
IJ.run('Deinterleave',
'how=2 keep') #makes ' #1' and ' #2', with ' #2' frontmost
origCh1WinStr = winTitle + ' #1'
origCh2WinStr = winTitle + ' #2'
origCh1Imp = WindowManager.getImage(origCh1WinStr)
origCh2Imp = WindowManager.getImage(origCh2WinStr)
origCh1File = destFolder + shortName + '_ch1.tif'
origCh2File = destFolder + shortName + '_ch2.tif'
# work on a copy, mostly for alignment with cropping
copy = Duplicator().run(imp)
#copy.copyAttributes(imp) #don't copy attributes, it copies the name (which we do not want)
copy.show()
#
# crop (on copy)
if gDoCrop:
bPrintLog('making cropping rectangle (left,top,width,height) ', 1)
bPrintLog(
str(gCropLeft) + ' ' + str(gCropTop) + ' ' + str(gCropWidth) +
' ' + str(gCropHeight), 2)
roi = Roi(gCropLeft, gCropTop, gCropWidth,
gCropHeight) #left,top,width,height
copy.setRoi(roi)
time.sleep(
0.5
) # otherwise, crop SOMETIMES failes. WHAT THE F**K FIJI DEVELOPERS, REALLY, WHAT THE F**K
#bPrintLog('cropping', 1)
IJ.run('Crop')
infoStr += 'bCropping=' + str(gCropLeft) + ',' + str(
gCropTop) + ',' + str(gCropWidth) + ',' + str(gCropHeight) + '\n'
#
# remove calibration ( on original)
if gRemoveCalibration:
cal = imp.getCalibration()
calCoeff = cal.getCoefficients()
if calCoeff:
msgStr = 'Calibration is y=a+bx' + ' a=' + str(
calCoeff[0]) + ' b=' + str(calCoeff[1])
bPrintLog(msgStr, 1)
#remove calibration
bPrintLog('\tRemoving Calibration', 2)
imp.setCalibration(None)
#without these, 8-bit conversion goes to all 0 !!! what the f**k !!!
#bPrintLog('calling imp.resetStack() and imp.resetDisplayRange()', 2)
imp.resetStack()
imp.resetDisplayRange()
#get and print out min/max
origMin = StackStatistics(imp).min
origMax = StackStatistics(imp).max
msgStr = '\torig min=' + str(origMin) + ' max=' + str(origMax)
bPrintLog(msgStr, 2)
# 20150723, 'shift everybody over by linear calibration intercept calCoeff[0] - (magic number)
if 1:
# [1] was this
#msgStr = 'Subtracting original min '+str(origMin) + ' from stack.'
#bPrintLog(msgStr, 2)
#subArgVal = 'value=%s stack' % (origMin,)
#IJ.run('Subtract...', subArgVal)
# [2] now this
#msgStr = 'Adding calCoeff[0] '+str(calCoeff[0]) + ' from stack.'
#bPrintLog(msgStr, 2)
#addArgVal = 'value=%s stack' % (int(calCoeff[0]),)
#IJ.run('Add...', addArgVal)
# [3] subtract a magic number 2^15-2^7 = 32768 - 128
magicNumber = gLinearShift #2^15 - 128
msgStr = 'Subtracting a magic number (linear shift) ' + str(
magicNumber) + ' from stack.'
bPrintLog(msgStr, 2)
infoStr += 'bLinearShift=' + str(gLinearShift) + '\n'
subArgVal = 'value=%s stack' % (gLinearShift, )
IJ.run(imp, 'Subtract...', subArgVal)
# 20150701, set any pixel <0 to 0
if 0:
ip = imp.getProcessor() # returns a reference
pixels = ip.getPixels() # returns a reference
msgStr = '\tSet all pixels <0 to 0. This was added 20150701 ...'
bPrintLog(msgStr, 2)
pixels = map(lambda x: 0 if x < 0 else x, pixels)
bPrintLog('\t\t... done', 2)
#get and print out min/max
newMin = StackStatistics(imp).min
newMax = StackStatistics(imp).max
msgStr = '\tnew min=' + str(newMin) + ' max=' + str(newMax)
bPrintLog(msgStr, 2)
#append calibration to info string
infoStr += 'bCalibCoeff_a = ' + str(calCoeff[0]) + '\n'
infoStr += 'bCalibCoeff_b = ' + str(calCoeff[1]) + '\n'
infoStr += 'bNewMin = ' + str(newMin) + '\n'
infoStr += 'bNewMax = ' + str(newMax) + '\n'
#
# set up
if gNumChannels == 1:
impWinStr = copy.getTitle() #use this when only one channel
impWin = WindowManager.getWindow(impWinStr) #returns java.awt.Window
if gNumChannels == 2:
winTitle = copy.getTitle()
bPrintLog('Deinterleaving 2 channels...', 1)
IJ.run('Deinterleave',
'how=2 keep') #makes ' #1' and ' #2', with ' #2' frontmost
ch1WinStr = winTitle + ' #1'
ch2WinStr = winTitle + ' #2'
ch1Imp = WindowManager.getImage(ch1WinStr)
ch2Imp = WindowManager.getImage(ch2WinStr)
ch1File = destFolder + shortName + '_ch1.tif'
ch2File = destFolder + shortName + '_ch2.tif'
#
# alignment
if gDoAlign and gNumChannels == 1 and copy.getNSlices() > 1:
infoStr += 'AlignOnChannel=1' + '\n'
#snap to middle slice
if gAlignOnMiddleSlice:
middleSlice = int(
math.floor(copy.getNSlices() /
2)) #int() is necc., python is f*****g picky
else:
middleSlice = gAlignOnThisSlice
copy.setSlice(middleSlice)
transformationFile = destAlignmentFolder + shortName + '.txt'
bPrintLog('MultiStackReg aligning:' + impWinStr, 1)
stackRegParams = 'stack_1=[%s] action_1=Align file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body] save' % (
impWin, transformationFile)
IJ.run('MultiStackReg', stackRegParams)
infoStr += 'AlignOnSlice=' + str(middleSlice) + '\n'
#20150723, we just aligned on a cropped copy, apply alignment to original imp
origImpTitle = imp.getTitle()
stackRegParams = 'stack_1=[%s] action_1=[Load Transformation File] file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body]' % (
origImpTitle, transformationFile)
IJ.run('MultiStackReg', stackRegParams)
if gDoAlign and gNumChannels == 2 and ch1Imp.getNSlices(
) > 1 and ch2Imp.getNSlices() > 1:
#apply to gAlignThisChannel
alignThisWindow = ''
applyAlignmentToThisWindow = ''
if gAlignThisChannel == 1:
infoStr += 'AlignOnChannel=1' + '\n'
transformationFile = destAlignmentFolder + shortName + '_ch1.txt'
alignThisWindow = ch1WinStr
applyAlignmentToThisWindow = ch2WinStr
else:
infoStr += 'AlignOnChannel=2' + '\n'
transformationFile = destAlignmentFolder + shortName + '_ch2.txt'
alignThisWindow = ch2WinStr
applyAlignmentToThisWindow = ch1WinStr
alignThisImp = WindowManager.getImage(alignThisWindow)
#snap to middle slice
if gAlignOnMiddleSlice:
middleSlice = int(
math.floor(alignThisImp.getNSlices() /
2)) #int() is necc., python is f*****g picky
else:
middleSlice = gAlignOnThisSlice
alignThisImp.setSlice(middleSlice)
infoStr += 'bAlignOnSlice=' + str(middleSlice) + '\n'
bPrintLog('MultiStackReg aligning:' + alignThisWindow, 1)
stackRegParams = 'stack_1=[%s] action_1=Align file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body] save' % (
alignThisWindow, transformationFile)
IJ.run('MultiStackReg', stackRegParams)
# 20150723, we just aligned on a copy, apply alignment to both channels of original
# ch1
bPrintLog('MultiStackReg applying alignment to:' + origCh1WinStr, 1)
stackRegParams = 'stack_1=[%s] action_1=[Load Transformation File] file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body]' % (
origCh1WinStr, transformationFile)
IJ.run('MultiStackReg', stackRegParams)
# ch2
bPrintLog('MultiStackReg applying alignment to:' + origCh2WinStr, 1)
stackRegParams = 'stack_1=[%s] action_1=[Load Transformation File] file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body]' % (
origCh2WinStr, transformationFile)
IJ.run('MultiStackReg', stackRegParams)
#apply alignment to other window
#bPrintLog('MultiStackReg applying alignment to:' + applyAlignmentToThisWindow, 1)
#applyAlignThisImp = WindowManager.getImage(applyAlignmentToThisWindow)
#stackRegParams = 'stack_1=[%s] action_1=[Load Transformation File] file_1=[%s] stack_2=None action_2=Ignore file_2=[] transformation=[Rigid Body]' %(applyAlignmentToThisWindow,transformationFile)
#IJ.run('MultiStackReg', stackRegParams)
elif gDoAlign:
bPrintLog('Skipping alignment, there may be only one slice?', 3)
#
# save
if gNumChannels == 1:
imp.setProperty("Info", infoStr)
impFile = destFolder + shortName + '.tif'
#bPrintLog('Saving:' + impFile, 1)
bSaveStack(imp, impFile)
#max project
bSaveZProject(imp, destMaxFolder, shortName)
if gNumChannels == 2:
#ch1
origCh1Imp.setProperty("Info", infoStr)
#bPrintLog('Saving:' + ch1File, 1)
bSaveStack(origCh1Imp, ch1File)
#max project
bSaveZProject(origCh1Imp, destMaxFolder, shortName + '_ch1')
#ch2
origCh2Imp.setProperty("Info", infoStr)
#bPrintLog('Saving:' + ch2File, 1)
bSaveStack(origCh2Imp, ch2File)
#max project
bSaveZProject(origCh2Imp, destMaxFolder, shortName + '_ch2')
#
# post convert to 8-bit and save
if gSave8bit:
if bitDepth == 16:
if gNumChannels == 1:
bPrintLog('Converting to 8-bit:' + impWinStr, 1)
IJ.selectWindow(impWinStr)
#IJ.run('resetMinAndMax()')
IJ.run("8-bit")
impFile = eightBitFolder + shortName + '.tif'
bPrintLog('Saving 8-bit:' + impFile, 2)
bSaveStack(imp, impFile)
#max project
bSaveZProject(imp, eightBitMaxFolder, shortName)
if gNumChannels == 2:
#
bPrintLog('Converting to 8-bit:' + origCh1WinStr, 1)
IJ.selectWindow(origCh1WinStr)
IJ.run("8-bit")
impFile = eightBitFolder + shortName + '_ch1.tif'
bPrintLog('Saving 8-bit:' + impFile, 2)
bSaveStack(origCh1Imp, impFile)
#max project
bSaveZProject(origCh1Imp, eightBitMaxFolder,
shortName + '_ch1')
#
bPrintLog('Converting to 8-bit:' + origCh2WinStr, 1)
IJ.selectWindow(origCh2WinStr)
#IJ.run('resetMinAndMax()')
IJ.run("8-bit")
impFile = eightBitFolder + shortName + '_ch2.tif'
bPrintLog('Saving 8-bit:' + impFile, 2)
bSaveStack(origCh2Imp, impFile)
#max project
bSaveZProject(origCh2Imp, eightBitMaxFolder,
shortName + '_ch2')
#
# close original window
imp.changes = 0
imp.close()
#copy
copy.changes = 0
copy.close()
#
# close ch1/ch2
if gNumChannels == 2:
#original
origCh1Imp.changes = 0
origCh1Imp.close()
origCh2Imp.changes = 0
origCh2Imp.close()
#copy
ch1Imp.changes = 0
ch1Imp.close()
ch2Imp.changes = 0
ch2Imp.close()
bPrintLog(
time.strftime("%H:%M:%S") + ' finished runOneFile(): ' + fullFilePath,
1)
def main():
# Prepare directory tree for output.
indir = IJ.getDirectory("input directory")
outdir = IJ.getDirectory(".csv output directory")
c1dir = os.path.join(outdir, "Channel1")
c2dir = os.path.join(outdir, "Channel2")
c3dir = os.path.join(outdir, "Channel3")
c4dir = os.path.join(outdir, "Channel4")
channelsdir = os.path.join(outdir, "Channels")
if not os.path.isdir(c1dir):
os.mkdir(c1dir)
if not os.path.isdir(c2dir):
os.mkdir(c2dir)
if not os.path.isdir(c3dir):
os.mkdir(c3dir)
if not os.path.isdir(c4dir):
os.mkdir(c4dir)
if not os.path.isdir(channelsdir):
os.mkdir(channelsdir)
# Collect all file paths in the input directory
files = readdirfiles(indir)
# Initialize the results tables.
c1Results = ResultsTable()
c2Results = ResultsTable()
c3Results = ResultsTable()
c4Results = ResultsTable()
for file in files:
IJ.log("File: {}/{}".format(files.index(file) + 1, len(files)))
if file.endswith('.tif'):
# Open .tiff file as ImagePlus.
imp = Opener().openImage(file)
imp = ZProjector.run(imp, "max")
# imp = stackprocessor(file,
# nChannels=4,
# nSlices=7,
# nFrames=1)
channels = ChannelSplitter.split(imp)
name = imp.getTitle()
# For every channel, save the inverted channel in grayscale as .jpg.
for channel in channels:
IJ.run(channel, "Grays", "")
IJ.run(channel, "Invert", "")
jpgname = channel.getShortTitle()
jpgoutfile = os.path.join(channelsdir,
"{}.jpg".format(jpgname))
IJ.saveAs(channel.flatten(), "Jpeg", jpgoutfile)
IJ.run(channel, "Invert", "")
# OPTIONAL - Perform any other operations (e.g. crossexcitation compensation tasks) before object count.
c2name = channels[2].getTitle()
cal = channels[2].getCalibration()
channels[2] = ImagePlus(
c2name,
ImageCalculator().run("divide create 32-bit", channels[2],
channels[3]).getProcessor(
) # This removes AF647 bleed-through
)
channels[2].setCalibration(cal)
# Settings for channel1 threshold.
c1 = countobjects(channels[0],
c1Results,
threshMethod="Triangle",
subtractBackground=True,
watershed=True,
minSize=0.00,
maxSize=100,
minCirc=0.00,
maxCirc=1.00)
# Settings for channel2 threshold.
c2 = countobjects(channels[1],
c2Results,
threshMethod="RenyiEntropy",
subtractBackground=True,
watershed=False,
minSize=0.00,
maxSize=30.00,
minCirc=0.00,
maxCirc=1.00)
# Settings for channel3 threshold.
c3 = countobjects(channels[2],
c3Results,
threshMethod="RenyiEntropy",
subtractBackground=True,
watershed=False,
minSize=0.00,
maxSize=30.00,
minCirc=0.00,
maxCirc=1.00)
# Settings for channel4 threshold.
c4 = countobjects(channels[3],
c4Results,
threshMethod="RenyiEntropy",
subtractBackground=True,
watershed=False,
minSize=0.20,
maxSize=100.00,
minCirc=0.00,
maxCirc=1.00)
# Format filenames for thresholded .tiff files.
outfileC1 = os.path.join(c1dir, "threshold_c1_{}".format(name))
outfileC2 = os.path.join(c2dir, "threshold_c2_{}".format(name))
outfileC3 = os.path.join(c3dir, "threshold_c3_{}".format(name))
outfileC4 = os.path.join(c4dir, "threshold_c4_{}".format(name))
# Save thresholded .tiff files.
IJ.saveAs(c1.flatten(), "Tiff", outfileC1)
IJ.saveAs(c2.flatten(), "Tiff", outfileC2)
IJ.saveAs(c3.flatten(), "Tiff", outfileC3)
IJ.saveAs(c4.flatten(), "Tiff", outfileC4)
# Show results tables.
# c1Results.show("channel1")
# c2Results.show("channel2")
# c3Results.show("channel3")
# c4Results.show("channel4")
# Prepare results table filenames.
c1out = os.path.join(outdir, "channel1.csv")
c2out = os.path.join(outdir, "channel2.csv")
c3out = os.path.join(outdir, "channel3.csv")
c4out = os.path.join(outdir, "channel4.csv")
# Save results tables.
ResultsTable.save(c1Results, c1out)
ResultsTable.save(c2Results, c2out)
ResultsTable.save(c3Results, c3out)
ResultsTable.save(c4Results, c4out)
def main():
Interpreter.batchMode = True
if (lambda_flat == 0) ^ (lambda_dark == 0):
print ("ERROR: Both of lambda_flat and lambda_dark must be zero,"
" or both non-zero.")
return
lambda_estimate = "Automatic" if lambda_flat == 0 else "Manual"
#import pdb; pdb.set_trace()
print "Loading images..."
filenames = enumerate_filenames(pattern)
num_channels = len(filenames)
num_images = len(filenames[0])
image = Opener().openImage(filenames[0][0])
width = image.width
height = image.height
image.close()
# The internal initialization of the BaSiC code fails when we invoke it via
# scripting, unless we explicitly set a the private 'noOfSlices' field.
# Since it's private, we need to use Java reflection to access it.
Basic_noOfSlices = Basic.getDeclaredField('noOfSlices')
Basic_noOfSlices.setAccessible(True)
basic = Basic()
Basic_noOfSlices.setInt(basic, num_images)
# Pre-allocate the output profile images, since we have all the dimensions.
ff_image = IJ.createImage("Flat-field", width, height, num_channels, 32);
df_image = IJ.createImage("Dark-field", width, height, num_channels, 32);
print("\n\n")
# BaSiC works on one channel at a time, so we only read the images from one
# channel at a time to limit memory usage.
for channel in range(num_channels):
print "Processing channel %d/%d..." % (channel + 1, num_channels)
print "==========================="
stack = ImageStack(width, height, num_images)
opener = Opener()
for i, filename in enumerate(filenames[channel]):
print "Loading image %d/%d" % (i + 1, num_images)
image = opener.openImage(filename)
stack.setProcessor(image.getProcessor(), i + 1)
input_image = ImagePlus("input", stack)
# BaSiC seems to require the input image is actually the ImageJ
# "current" image, otherwise it prints an error and aborts.
WindowManager.setTempCurrentImage(input_image)
basic.exec(
input_image, None, None,
"Estimate shading profiles", "Estimate both flat-field and dark-field",
lambda_estimate, lambda_flat, lambda_dark,
"Ignore", "Compute shading only"
)
input_image.close()
# Copy the pixels from the BaSiC-generated profile images to the
# corresponding channel of our output images.
ff_channel = WindowManager.getImage("Flat-field:%s" % input_image.title)
ff_image.slice = channel + 1
ff_image.getProcessor().insert(ff_channel.getProcessor(), 0, 0)
ff_channel.close()
df_channel = WindowManager.getImage("Dark-field:%s" % input_image.title)
df_image.slice = channel + 1
df_image.getProcessor().insert(df_channel.getProcessor(), 0, 0)
df_channel.close()
print("\n\n")
template = '%s/%s-%%s.tif' % (output_dir, experiment_name)
ff_filename = template % 'ffp'
IJ.saveAsTiff(ff_image, ff_filename)
ff_image.close()
df_filename = template % 'dfp'
IJ.saveAsTiff(df_image, df_filename)
df_image.close()
print "Done!"
IJ.run("Collect Garbage");
#inputDir1 = IJ.getDirectory("Choose image directory! ")
inputDir1 = "/home/mt/Downloads/1/"
fileList1 = os.listdir(inputDir1);
###tilestring=getString("Which Tilescan", "1")
RGB=os.path.join(inputDir1,'RGB.png')
FileList=sorted(os.listdir(inputDir1))
print(FileList)
stitchedFiles=[x for x in FileList if "stitched.TIF" in x]
stitchedNames=[x.split('_')[0] for x in stitchedFiles]
mergedFiles=[x for x in FileList if "merged.TIF" in x]
imp = Opener.openUsingBioFormats(os.path.join(inputDir1,mergedFiles[0]))
xsize=imp.getWidth()
ysize=imp.getHeight()
imp.close()
print(xsize,ysize)
for im in stitchedFiles:
if not "hoechst" in im.lower():
IJ.open(inputDir1+im)
imp = IJ.getImage()
imp.setTitle(im.split('_')[0])
IJ.run("Images to Stack", "name=Stack title=[] use")
imp = IJ.getImage()
#IJ.run("Multiply...", "value=2.2")
IJ.beep()
class bImp:
def __init__(self, filepath):
"""
Load an image or stack from filepath.
Args:
filepath (str): Full path to an image file. Can be .tif, .lsm, .czi, etc
"""
if not os.path.isfile(filepath):
bPrintLog('ERROR: bImp() did not find file: ' + filepath,0)
return 0
self.filepath = filepath
folderpath, filename = os.path.split(filepath)
self.filename = filename
self.enclosingPath = folderpath
self.enclosingfolder = os.path.split(folderpath)[1]
self.dateStr = ''
self.timeStr = ''
self.imp = None
tmpBaseName, extension = os.path.splitext(filename)
isZeiss = extension in ['.czi', '.lsm']
self.islsm = extension == '.lsm'
self.isczi = extension == '.czi'
istif = extension == '.tif'
if istif:
# scanimage3 comes in with dimensions: [512, 512, 1, 52, 1]) = [width, height, numChannels, numSlices, numFrames]
self.imp = Opener().openImage(filepath)
self.imp.show()
elif isZeiss:
#open lsm using LOCI Bio-Formats
options = ImporterOptions()
#options.setColorMode(ImporterOptions.COLOR_MODE_GRAYSCALE)
options.setId(filepath)
imps = BF.openImagePlus(options)
for imp in imps:
self.imp = imp #WindowManager.getImage(self.windowname)
imp.show()
if not self.imp:
bPrintLog('ERROR: bImp() was not able to open file: '+ filepath,0)
self.windowname = filename
#self.imp = WindowManager.getImage(self.windowname)
# numChannels is not correct for scanimage, corrected in readTiffHeader()
(width, height, numChannels, numSlices, numFrames) = self.imp.getDimensions()
self.width = width # pixelsPerLine
self.height = height # linesPerFrame
self.numChannels = numChannels
self.numSlices = numSlices
self.numFrames = numFrames
self.infoStr = self.imp.getProperty("Info") #get all tags
self.voxelx = 1
self.voxely = 1
self.voxelz = 1
#self.numChannels = 1
#self.bitsPerPixel = 8
self.zoom = 1
self.motorx = None
self.motory = None
self.motorz = None
self.scanImageVersion = ''
self.msPerLine = None
self.dwellTime = None
# read file headers (date, time, voxel size)
if isZeiss:
self.readZeissHeader(self.infoStr)
elif istif:
self.readTiffHeader(self.infoStr)
self.updateInfoStr()
self.channelWindows = []
self.channelImp = []
if self.numChannels == 1:
self.channelWindows.append(self.windowname)
self.channelImp.append(self.imp)
else:
self.deinterleave()
def updateInfoStr(self):
# Fill in infoStr with Map Manager tags
self.infoStr += 'Folder2MapManager=' + versionStr + '\n'
self.infoStr += 'b_date=' + self.dateStr + '\n'
self.infoStr += 'b_time=' + self.timeStr + '\n'
# yevgeniya 20180314
#if (self.numChannels > 3):
# self.numChannels = 3
self.infoStr += 'b_numChannels=' + str(self.numChannels) + '\n'
self.infoStr += 'b_pixelsPerline=' + str(self.width) + '\n'
self.infoStr += 'b_linesPerFrame=' + str(self.height) + '\n'
self.infoStr += 'b_numSlices=' + str(self.numSlices) + '\n'
self.infoStr += 'b_voxelX=' + str(self.voxelx) + '\n'
self.infoStr += 'b_voxelY=' + str(self.voxely) + '\n'
self.infoStr += 'b_voxelZ=' + str(self.voxelz) + '\n'
#self.infoStr += 'b_bitsPerPixel=' + str(self.bitsPerPixel) + '\n'
self.infoStr += 'b_zoom=' + str(self.zoom) + '\n'
self.infoStr += 'b_motorx=' + str(self.motorx) + '\n'
self.infoStr += 'b_motory=' + str(self.motory) + '\n'
self.infoStr += 'b_motorz=' + str(self.motorz) + '\n'
self.infoStr += 'b_msPerLine=' + str(self.msPerLine) + '\n'
self.infoStr += 'b_scanImageVersion=' + self.scanImageVersion + '\n'
def readTiffHeader(self, infoStr):
"""
Read ScanImage 3/4 .tif headers
"""
logLevel = 3
# splitting on '\r' for scanimage 3.x works
# splitting on '\n' for scanimage 4.x works
#we need to search whole infoStr to figure out scanimage 3 or 4.
# we can't split info string because si3 uses \r and si4 uses \n
infoStrDelim = '\n'
if infoStr.find('scanimage.SI4') != -1:
infoStrDelim = '\n'
bPrintLog('Assuming SI4 infoStr to be delimited with backslash n', logLevel)
elif infoStr.find('state.software.version') != -1:
infoStrDelim = '\r'
bPrintLog('Assuming SI3 infoStr to be delimited with backslash r', logLevel)
else:
bPrintLog('Splitting infoStr using backslah n', logLevel)
# if we don't find zoom then voxel is an error (see end of function)
foundZoom = False
#for line in infoStr.split('\n'):
for line in infoStr.split(infoStrDelim):
#
# ScanImage 4.x
#
# scanimage.SI4.versionMajor = 4.2
if line.find('scanimage.SI4.versionMajor') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.scanImageVersion = rhs
# scanimage.SI4.motorPosition = [-33936.5 -106316 -55308.5]
if line.find('scanimage.SI4.motorPosition') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
rhs = rhs.replace('[','')
rhs = rhs.replace(']','')
floats = [float(x) for x in rhs.split()]
self.motorx = floats[0]
self.motory = floats[1]
self.motorz = floats[2]
# scanimage.SI4.channelsSave = [1;2]
if line.find('scanimage.SI4.channelsSave') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
rhs = rhs.replace('[','')
rhs = rhs.replace(']','')
channels = [int(x) for x in rhs.split(';')]
bPrintLog('reading scanimage.SI4.channelsSave inferred channels:' + str(channels), logLevel)
self.numChannels = len(channels)
# scanimage.SI4.scanZoomFactor = 5.9
if line.find('scanimage.SI4.scanZoomFactor') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.zoom = float(rhs)
foundZoom = True
#self.voxelx = magic_scan_image_scale / self.zoom
#self.voxely = magic_scan_image_scale / self.zoom
# scanimage.SI4.triggerClockTimeFirst = '18-05-2015 11:58:43.788'
if line.find('scanimage.SI4.triggerClockTimeFirst') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
rhs = rhs.replace("'","") # remove enclosing ' and '
if rhs.startswith(' '): # if date string starts with space, remove it
rhs = rhs[1:-1]
datetime = rhs.split(' ')
# 20170811, there is an extra f*****g space before datestr on the rhs
# convert mm/dd/yyyy to yyyymmdd
#print 'rhs:' + "'" + rhs + "'"
#print 'datetime:', datetime
datestr = bFixDate(datetime[0], logLevel)
self.dateStr = datestr
self.timeStr = datetime[1]
#
# ScanImage 3.x
#
# state.software.version = 3.8
if line.find('state.software.version') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.scanImageVersion = rhs
# state.acq.numberOfChannelsAcquire = 2
if line.find('state.acq.numberOfChannelsAcquire') != -1:
#print '\rDEBUG 12345'
bPrintLog(line, logLevel)
#print '\rDEBUG 12345'
rhs = line.split('=')[1]
self.numChannels = int(rhs)
# state.acq.zoomFactor = 2.5
if line.find('state.acq.zoomFactor') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.zoom = float(rhs)
foundZoom = True
# set (voxelx, voxely)
#self.voxelx = magic_scan_image_scale / self.zoom
#self.voxely = magic_scan_image_scale / self.zoom
# state.acq.msPerLine = 2.32
if line.find('state.acq.msPerLine') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.msPerLine = float(rhs)
# state.acq.pixelTime = 3.2e-06
if line.find('state.acq.pixelTime') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.dwellTime = float(rhs)
# state.motor.absXPosition = -9894.4
if line.find('state.motor.absXPosition') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.motorx = float(rhs)
# state.motor.absYPosition = -18423.4
if line.find('state.motor.absYPosition') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.motory = float(rhs)
# state.motor.absZPosition = -23615.04
if line.find('state.motor.absZPosition') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.motorz = float(rhs)
# state.acq.zStepSize = 2
if line.find('state.acq.zStepSize') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
self.voxelz = float(rhs)
# state.internal.triggerTimeString = '10/2/2014 12:29:22.796'
if line.find('state.internal.triggerTimeString') != -1:
bPrintLog(line, logLevel)
rhs = line.split('=')[1]
rhs = rhs.replace("'","")
if rhs.startswith(' '): # if date string starts with space, remove it
rhs = rhs[1:-1]
datetime = rhs.split(' ')
# 20170811, there is an extra f*****g space before datestr on the rhs
# convert mm/dd/yyyy to yyyymmdd
#print 'rhs:' + "'" + rhs + "'"
#print 'datetime:', datetime
self.dateStr = bFixDate(datetime[0], logLevel)
self.timeStr = bFixTime(datetime[1], logLevel)
# state.acq.acqDelay = 0.000122
# state.acq.bidirectionalScan = 0
# state.acq.fillFraction = 0.706206896551724
# state.acq.frameRate = 0.841864224137931
# huganir lab keeps this off, image pixel intensities are 2^11 * samplesperpixel (e.g. binFactor?)
# state.acq.binFactor = 16
# state.internal.averageSamples = 1
# the real image bit depth is usually inputBitDepth-1 (1 bit is not used?)
# state.acq.inputBitDepth = 12
if foundZoom:
self.voxelx = magic_scan_image_scale / self.zoom * (1024 / self.width)
self.voxely = magic_scan_image_scale / self.zoom * (1024 / self.height)
else:
bPrintLog('ERROR: Did not find zoom in SI header, voxel x/y will be wrong', logLevel)
def readZeissHeader(self, infoStr):
# This is incredibly difficult to get working as (date, time, voxels) are in different obscure places in lsm and czi
# Furthermore, just trying to read the raw ome xls is futile
#
# parsing ome xml as a string and searching it with regular expression(re) does not work
# it is beyond the scope of my work to figure this out
# the fact that it does not work and there is little documentaiton is a pretty big waste of time
#
# get and parse xml to find date/time
#fi = self.imp.getOriginalFileInfo(); # returns a FileInfo object
#omexml = fi.description #omexml is a string
#omexml = omexml.encode('utf-8')
#omexml = omexml.replaceAll("[^\\x20-\\x7e]", "") # see: https://stackoverflow.com/questions/2599919/java-parsing-xml-document-gives-content-not-allowed-in-prolog-error
# (1) try and search the ome xml like a string, this gives errors
#docsPattern = '<AcquisitionDate>.*</AcquisitionDate>'
#searchresult = re.search(docsPattern, omexml)
#print 'searchresult:', searchresult.group(0)
# 2) treat the ome xml like any other xml (because it's xml, right?)
# well this raises errors too
#omexml has <AcquisitionDate>2016-08-17T15:21:50</AcquisitionDate>
#import xml.etree.ElementTree
#e = xml.etree.ElementTree.fromstring(omexml).getroot() #print omexml
#for atype in e.findall('AcquisitionDate'):
# print 'AcquisitionDate:', atype #.get('foobar')
#
#
if self.islsm:
# lsm have date hidden in omeMeta.getImageAcquisitionDate(0)
# this is copied from code at: https://gist.github.com/ctrueden/6282856
reader = ImageReader()
omeMeta = MetadataTools.createOMEXMLMetadata() #omeMeta.getImageAcquisitionDate(0)
reader.setMetadataStore(omeMeta)
reader.setId(self.filepath)
#seriesCount = reader.getSeriesCount()
dateTimeStr = omeMeta.getImageAcquisitionDate(0) #2016-08-17T16:36:26
reader.close()
if dateTimeStr:
self.dateStr, self.timeStr = dateTimeStr.toString().split('T')
self.dateStr = bFixDate(self.dateStr)
self.timeStr = bFixTime(self.timeStr)
#bPrintLog('LSM date/time is: ' + self.dateStr + ' ' + self.timeStr, 3)
else:
bPrintLog('WARNING: did not get Zeiss date/time string')
# lsm have voxels in infoStr
for line in infoStr.split('\n'):
#print line
if line.find('VoxelSizeX') != -1:
self.voxelx = float(line.split('=')[1])
if line.find('VoxelSizeY') != -1:
self.voxely = float(line.split('=')[1])
if line.find('VoxelSizeZ') != -1:
self.voxelz = float(line.split('=')[1])
if line.find('SizeC') != -1:
self.numChannels = int(line.split('=')[1])
#if line.find('BitsPerPixel') and not line.startswith('Experiment') != -1: # 20170811, startswith is for czi
# self.bitsPerPixel = int(line.split('=')[1])
if line.find('RecordingZoomX#1') != -1:
self.zoom = int(line.split('=')[1])
if self.isczi:
# czi has date/time in infoStr (lsm does not)
for line in infoStr.split('\n'):
if line.find('CreationDate #1') != -1: # w.t.f. is #1 referring to?
lhs, rhs = line.split('=')
rhs = rhs.replace(' ', ' ')
if rhs.startswith(' '):
rhs = rhs[1:-1]
#print "lhs: '" + lhs + "'" + "rhs: '" + rhs + "'"
if rhs.find('T') != -1:
self.dateStr, self.timeStr = rhs.split('T')
else:
self.dateStr, self.timeStr = rhs.split(' ')
self.dateStr = bFixDate(self.dateStr)
self.timeStr = bFixTime(self.timeStr)
#bPrintLog('CZI date/time is: ' + self.dateStr + ' ' + self.timeStr, 3)
# .czi
# <Pixels BigEndian="false" DimensionOrder="XYCZT" ID="Pixels:0" Interleaved="false" PhysicalSizeX="0.20756645602494875" PhysicalSizeXUnit="µm" PhysicalSizeY="0.20756645602494875" PhysicalSizeYUnit="µm" PhysicalSizeZ="0.75" PhysicalSizeZUnit="µm" SignificantBits="8" SizeC="1" SizeT="1" SizeX="1024" SizeY="1024" SizeZ="50" Type="uint8">
# czi have voxel in calibration
self.voxelx = self.imp.getCalibration().pixelWidth;
self.voxely = self.imp.getCalibration().pixelHeight;
self.voxelz = self.imp.getCalibration().pixelDepth;
#bPrintLog('readZeissHeader() read czi scale as: ' + str(self.voxelx) + ' ' + str(self.voxely) + ' ' + str(self.voxelz), 3)
# CLEARING self.infoStr for CZI ... it was WAY to big to parse in Map Manager
self.infoStr = ''
def printParams(self, loglevel=3): # careful, thefunction print() is already taken?
bPrintLog('file:' + self.filepath, loglevel)
bPrintLog("date:'" + self.dateStr + "' time:'" + self.timeStr + "'", loglevel)
bPrintLog('channels:' + str(self.numChannels), loglevel)
bPrintLog('zoom:' + str(self.zoom), loglevel)
bPrintLog('pixels:' + str(self.width) + ',' + str(self.height)+ ',' + str(self.numSlices), loglevel)
bPrintLog('voxels:' + str(self.voxelx) + ',' + str(self.voxely)+ ',' + str(self.voxelz), loglevel)
def deinterleave(self):
if self.numChannels == 1:
bPrintLog('Warning: deinterleave() did not deinterleave with num channels 1', 0)
return -1
#IJ.run('Deinterleave', 'how=' + str(self.numChannels) +' keep') #makes ' #1' and ' #2', with ' #2' frontmost
cmdStr = 'how=' + str(self.numChannels) + ' keep'
IJ.run('Deinterleave', cmdStr) #makes ' #1' and ' #2', with ' #2' frontmost
for i in range(self.numChannels):
currenChannel = i + 1
currentWindowName = self.windowname + ' #' + str(currenChannel)
self.channelWindows.append(currentWindowName)
currentImp = WindowManager.getImage(currentWindowName)
if currentImp:
self.channelImp.append(currentImp)
else:
bPrintLog('ERROR: deinterleave() did not find window names:' + currentWindowName, 0)
def exportTifStack(self, destFolder=''):
channelNumber = 1
for imp in self.channelImp:
if not destFolder:
destFolder = os.path.join(self.enclosingPath, self.enclosingfolder + '_tif')
if not os.path.isdir(destFolder):
os.makedirs(destFolder)
if not imp:
bPrintLog("ERROR: exportTifStack() did not find an imp at channel number '" + str(channelNumber) + "'", 0)
return -1
self.updateInfoStr()
imp.setProperty("Info", self.infoStr);
saveFile = os.path.splitext(self.filename)[0] + '_ch' + str(channelNumber) + '.tif'
savePath = os.path.join(destFolder, saveFile)
# save
fs = FileSaver(imp)
bPrintLog('saveTifStack():' + savePath, 3)
if imp.getNSlices()>1:
fs.saveAsTiffStack(savePath)
else:
fs.saveAsTiff(savePath)
channelNumber += 1
def saveMaxProject(self, destFolder=''):
channelNumber = 1
for imp in self.channelImp:
if not destFolder:
destFolder = os.path.join(self.enclosingPath, self.enclosingfolder + '_tif', 'max')
if not os.path.isdir(destFolder):
os.makedirs(destFolder)
# make max project
zp = ZProjector(imp)
zp.setMethod(ZProjector.MAX_METHOD)
zp.doProjection()
zimp = zp.getProjection()
# save
saveFile = 'max_' + os.path.splitext(self.filename)[0] + '_ch' + str(channelNumber) + '.tif'
savePath = os.path.join(destFolder, saveFile)
fs = FileSaver(zimp)
bPrintLog('saveMaxProject():' + savePath, 3)
fs.saveAsTiff(savePath)
channelNumber += 1
def closeAll(self):
self.imp.close()
for imp in self.channelImp:
imp.close()
from org.python.core import codecs
codecs.setDefaultEncoding('utf-8')
import os
from java.io import File
from ij import ImageJ, ImagePlus
from ij.io import Opener
from net.imglib2.img import Img, ImgFactory
from net.imglib2.img.cell import CellImgFactory
from net.imglib2.img.display.imagej import ImageJFunctions
from net.imglib2.type.numeric.real import FloatType
gitDir = os.environ['GIT_HOME']
relImg = "/OSImageAnalysis/images"
# strImg = gitDir + relImg + "/bridge.gif"
strImg = gitDir + relImg + "/latex.tif"
fi = File(strImg)
imp = Opener().openImage( fi.getAbsolutePath() )
imp.show()
imgFactory = CellImgFactory(5 )
img1 = imgFactory.create( (20, 30, 40), FloatType() )
ImageJFunctions.show( img1 )
img2 = imgFactory.create( img1, img1.firstElement() )
ImageJFunctions.show( img2 )
def scaleandfilter(infile,outfile,scalex,scaley,scalez,anisofilter,runtube):
print ("infile is: "+infile)
imp = Opener().openImage(infile)
print imp
print "scalex = %f; scaley = %f ; scalez = %f" % (scalex,scaley,scalez)
# Rescale
cal = imp.getCalibration()
iml = ImgLib.wrap(imp)
scaledimg = Scale3D(iml, scalex, scaley, scalez)
imp2=ImgLib.wrap(scaledimg)
# find range of pixel values for scaled image
from mpicbg.imglib.algorithm.math import ComputeMinMax
# (for imglib2 will be: net.imglib2.algorithm.stats)
minmax=ComputeMinMax(scaledimg)
minmax.process()
(min,max)=(minmax.getMin().get(),minmax.getMax().get())
# Make a copy of the stack (converting to 8 bit as we go)
stack = ImageStack(imp2.width, imp2.height)
print "min = %e, max =%e" % (min,max)
for i in xrange(1, imp2.getNSlices()+1):
imp2.setSliceWithoutUpdate(i)
ip=imp2.getProcessor()
# set range
ip.setMinAndMax(min,max)
stack.addSlice(str(i), ip.convertToByte(True))
# save copy of calibration info
cal=imp.getCalibration()
# close original image
imp.close()
# make an image plus with the copy
scaled = ImagePlus(imp2.title, stack)
# Deal with calibration info which didn't seem to come along for the ride
cal.pixelWidth/=scalex
cal.pixelHeight/=scaley
cal.pixelDepth/=scalez
scaled.setCalibration(cal)
print "dx = %f; dy=%f; dz=%f" % (cal.pixelWidth,cal.pixelHeight,cal.pixelDepth)
intif=infile+".tif"
outtif=infile+"-filtered.tif"
if anisofilter.upper() != 'FALSE':
print("saving input file as "+intif)
f=FileSaver(scaled)
f.saveAsTiffStack(intif)
scaled.close()
# anisotropic filtering
anisopts="-scanrange:10 -tau:2 -nsteps:2 -lambda:0.1 -ipflag:0 -anicoeff1:1 -anicoeff2:0 -anicoeff3:0"
anisopts=anisopts+" -dx:%f -dy:%f -dz:%f" % (cal.pixelWidth,cal.pixelHeight,cal.pixelDepth)
if sys.version_info > (2, 4):
#for testing
# subprocess.check_call(["cp",intif,outtif])
subprocess.check_call([anisofilter]+anisopts.split(' ')+[intif,outtif])
else:
os.system(" ".join([anisofilter]+anisopts.split(' ')+[intif,outtif]))
# Open anisofilter output back into Fiji
print("Opening output tif: "+outtif)
scaled = Opener().openImage(outtif)
scaled.setCalibration(cal)
# Hessian (tubeness)
print("Running tubeness")
if(runtube):
tp=TubenessProcessor(1.0,False)
result = tp.generateImage(scaled)
IJ.run(result, "8-bit","")
else:
result=scaled
# Save out file
fileName, fileExtension = os.path.splitext(outfile)
print("Saving as "+fileExtension+": "+outfile)
if fileExtension.lower()=='.nrrd':
nw=Nrrd_Writer()
nw.setNrrdEncoding("gzip")
nw.save(result,outfile)
else:
# Save to PIC
IJ.run(result,"Biorad ...", "biorad=["+outfile+"]")
scaled.close()
result.close()
#find the threshold values using the quantiles
percentiles = [98.5, 99.5, 99.9]
thresholds = FindThreholds(In_dir, MouseIDcFos, percentiles)
IJ.log('Thresholds for percentiles ' + str(percentiles) +
' selected to ' + str(thresholds))
#threshold and save images for each threshold value
for i, threshold in enumerate(thresholds):
# create directory
Perc_Out_dir = Out_dir + "percentile_" + str(percentiles[i]) + "/"
if not os.path.exists(Perc_Out_dir):
os.makedirs(Perc_Out_dir)
IJ.log('Processing ' + MouseID + ' for percentile ' +
str(percentiles[i]))
for image in MouseIDcFos:
#open image
imp_orig = Opener().openImage(In_dir + image)
#gaussian blur
imp_GB = blurImage(imp_orig)
imp_orig.close()
#threshold
imp_GB.getProcessor().threshold(threshold)
#save
newname = image.split('.')[0] + '_GPT_' + str(
percentiles[i]) + '.tif'
IJ.saveAsTiff(imp_GB, Perc_Out_dir + newname)
imp_GB.close()
IJ.log('Mouse ' + MouseID + ' processed')
print "DONE, find your results in " + Out_dir