def pick_roi_and_crop(self):
self.show()
self.display_roi()
wait = NonBlockingGenericDialog("Move the ROI around the cell of interest")
wait.addMessage(
"Click ok to crop and process ROI\n" "Cancel to skip this image\n" "Check 'Quit' to terminate script"
)
wait.addCheckbox("Quit", False)
wait.showDialog()
kill_switch = wait.getCheckboxes()[0].state
# print kill_switch
if wait.wasOKed():
self.crop_project_and_montage()
while True:
proceed = NonBlockingGenericDialog("Process another ROI?")
proceed.addMessage("Click ok to repeat this image\n" "Click cancel to move onto next image")
proceed.showDialog()
if proceed.wasOKed():
print "Repeat this image"
self.crop_project_and_montage()
else:
print "Lets move on"
for i in self.stack_imps.values():
i.close()
break
return kill_switch
else:
print "User canceled this image before doing anything"
for i in self.stack_imps.values():
i.close()
return kill_switch
def MakeSubset(directory_load, directory_save, chl, frames, z_planes, loops,
total, pat, title, imp2):
subd = NonBlockingGenericDialog("Make subset")
subd.addCheckbox("Duplicate only the current frames", False)
subd.addCheckbox("Export XYTC of a subset of loops", False)
subd.addSlider("Subset from loop number", 0, loops - 1, 0)
subd.addSlider("Subset to loop number", 0, loops - 1, 0)
subd.showDialog()
slider_subd1 = subd.getSliders().get(0).getValue()
slider_subd2 = subd.getSliders().get(1).getValue()
checkbox_subd1 = subd.getNextBoolean()
checkbox_subd2 = subd.getNextBoolean()
if checkbox_subd1 == True:
SliceNum = imp2.getCurrentSlice()
FloorSlice50 = float(SliceNum) / frames
S50 = (math.floor(FloorSlice50) * frames) + 1
S100 = S50 + (frames - 1)
print("Slice" + str(SliceNum) + "_FloorSlice_" + str(FloorSlice50) +
"_frames_" + str(S50) + "-" + str(S100) + "")
IJ.run(
"Duplicate...", "title=Image_DUP duplicate range=" + str(S50) +
"-" + str(S100) + "")
impDup = WM.getImage("Image_DUP")
if checkbox_subd2 == True:
SubsetL(directory_load, directory_save, chl, frames, z_planes, loops,
total, pat, title, slider_subd1, slider_subd2)
def __mainsettings(self) :
# options :
#We ask if the user wants to import cells from .cell files
# we track the cells in a stack that the user has to choose.
def outputpath(event) :
self.__pathdir=IJ.getDirectory("image")
self.__pathdir=IJ.getDirectory("")
self.__text.setText(self.__pathdir)
panel0=Panel()
pathbutton=Button("Select output path", actionPerformed = outputpath)
#pathbutton.actionPerformed = outputpath
self.__text = TextField(self.__pathdir)
panel0.add(pathbutton)
panel0.add(self.__text)
firstgd=NonBlockingGenericDialog("First choices")
firstgd.addMessage("------------------ WELCOME ----------------------")
firstgd.addMessage("")
firstgd.addMessage("Please fill the following options")
firstgd.addMessage("")
choices=["Already opened images", "Files from hard disk"]
firstgd.addChoice("Images source : ", choices, choices[0]) # 1 choice
firstgd.addCheckbox("Run in batch mode ?", False) # 2 batch
firstgd.addMessage("")
firstgd.addCheckbox("Import a set of cells from hardisk ?", self.__optionImport) # 3 import
firstgd.addMessage("")
firstgd.addNumericField("Size factor (binning)", 2, 0) # 4 number
firstgd.addPanel(panel0)
firstgd.showDialog()
#self.__optionImages=firstgd.getNextBoolean()
choice=firstgd.getNextChoiceIndex() # 1 choice
self.__batch = firstgd.getNextBoolean() # 2 batch
self.__optionImport=firstgd.getNextBoolean() # 3 import
self.__binning = firstgd.getNextNumber() # 4 number
if choice==0 : self.__optionImages=True
else : self.__optionImages=False
if firstgd.wasCanceled() : return False
#IJ.showMessage("Select a working directory to save results")
#self.__pathdir=IJ.getDirectory("image")
#self.__pathdir=IJ.getDirectory("")
#self.__pathdir=self.__pathdir+imp.getShortTitle()+os.path.sep+time.strftime('%d-%m-%y_%Hh%Mm%Ss',time.localtime())+os.path.sep
if self.__pathdir is not None : return True
else : return False
def runGUI(defaultTargetChannel=2,
defaultdt=1.0,
defaultRadius=0.3,
defaultThreshold=16,
defaultFrameGap=0.01,
defaultLinkingMax=0.01,
defaultClosingMax=0.01):
gd = NonBlockingGenericDialog("ZedMate - v0.18 beta")
gd.addMessage(
"\tZedMate is a TrackMate-based 3D prticle analyzer \n\t\t\t\t\t\t\t\t\t\t\t(copyright Artur Yakimovich 2018-19)\n\n"
)
gd.addStringField("File_extension", ".tif")
gd.addStringField("File_name_contains", "")
gd.addNumericField("Target_Channel", defaultTargetChannel, 0)
gd.addNumericField("dt", defaultdt, 2)
gd.addNumericField("Radius", defaultRadius, 2)
gd.addNumericField("Threshold", defaultThreshold, 2)
gd.addNumericField("Frame_Gap", defaultFrameGap, 0)
gd.addNumericField("Linking_Max", defaultLinkingMax, 2)
gd.addNumericField("Closing_Max", defaultClosingMax, 2)
gd.addMessage("\t\t\t\t\t\t_______________________________________")
gd.addCheckbox("Preview Parameters on the First Image Only", 0)
gd.addMessage("\t\t\t\t\t(Doesn't save results. Re-opens this Dialog).")
gd.addMessage("\t\t\t\t\t\t_______________________________________")
gd.addCheckbox("Save MNIST mimicry embedding (beta)", 0)
gd.showDialog()
if gd.wasCanceled():
return
extension = gd.getNextString()
containString = gd.getNextString()
targetChannel = int(gd.getNextNumber())
dt = gd.getNextNumber()
radius = gd.getNextNumber()
threshold = gd.getNextNumber()
frameGap = int(gd.getNextNumber())
linkingMax = gd.getNextNumber()
closingMax = gd.getNextNumber()
testMode = gd.getNextBoolean()
mimicryEmbd = gd.getNextBoolean()
inputDir = IJ.getDirectory("Input_directory")
if not inputDir:
return
if not testMode:
outputDir = IJ.getDirectory("Output_directory")
if not outputDir:
return
else:
outputDir = inputDir # for the case of test
#if not os.path.exists(outputDir):
# os.makedirs(outputDir)
runBatch(inputDir, outputDir, extension, containString, targetChannel, dt, radius, threshold, frameGap,\
linkingMax, closingMax, testMode, mimicryEmbd)
def apply_thresh_overlay(overlay):
''' Clear outside rois in overlay '''
# --- Dialog -----------------------------------
wlist = WindowManager.getImageTitles()
gd = NonBlockingGenericDialog('Apply Mask to')
gd.setCancelLabel('Exit')
gd.addChoice('Select Movie', wlist, wlist[0])
gd.addCheckbox('Duplicate', True)
gd.showDialog() # dialog is open
if gd.wasCanceled():
return False
sel_win = gd.getNextChoice()
do_duplicate = gd.getNextBoolean()
# --- Dialog End ------------------------------
win_name = IJ.selectWindow(sel_win)
movie = IJ.getImage()
movie = slices_to_frames(movie)
C = movie.getC()
S = movie.getSlice()
if do_duplicate:
IJ.log('duplicating ' + movie.shortTitle)
movie = movie.duplicate()
NFrames = movie.getNFrames()
if overlay.size() != NFrames: # one roi for each frame!
display_msg(
'Mask count mismatch!', 'Mask count mismatch!\nGot ' + str(Nrois) +
' masks and ' + str(NFrames) + ' frames.. !')
for frame in range(1, NFrames + 1):
movie.setPosition(C, S, frame)
mask_roi = overlay.get(frame - 1)
ip = movie.getProcessor()
ip.setValue(0)
ip.setRoi(mask_roi)
ip.fillOutside(mask_roi)
movie.show()
return True
valplot.add(
"line",
(icalibration.getX(retval[2] + 1), icalibration.getX(retval[1] + 1)),
(retval[4], retval[4]))
valplot.add(
"line",
(icalibration.getX(retval[1] + 1), icalibration.getX(retval[1] + 1)),
(retval[3], retval[4]))
valplot.add(
"line",
(icalibration.getX(retval[2] + 1), icalibration.getX(retval[2] + 1)),
(retval[3], retval[4]))
valplot.show()
valplot.update()
proceed = NonBlockingGenericDialog("Accept Or Reject?")
proceed.addCheckbox("Uncheck To Reject", True)
proceed.showDialog()
proceed = proceed.getNextBoolean()
WindowManager.getWindow("Angle-Distance Correlation Values").close()
WindowManager.getImage("pixarr").close()
WindowManager.getImage("DUP_" + title).close()
if proceed:
roi = analyte.getRoi()
roiStats = roi.getStatistics()
ferets = roi.getFeretValues()
rt = WindowManager.getWindow(
"Cardiomyocyte Results").getTextPanel().getOrCreateResultsTable()
a = rt.getCounter()
rt.setValue("Correlation Score", a, retval[0])
rt.setValue("Sarcomere Length", a, icalibration.getX(retval[1] + 1))
rt.setValue("Area", a, roiStats.area)
import ij.plugin
from ij import WindowManager as WM
import os
from os import path
import re
from re import sub
from ij.plugin import Concatenator
from ij.io import OpenDialog, DirectoryChooser
from ij.gui import GenericDialog, NonBlockingGenericDialog
from ij.text import TextPanel as TP
from ij.measure import ResultsTable as RT
# Create a non-blocking dialog to enter the metadata
psgd = NonBlockingGenericDialog(
"Choose the frame that shows the right conformation of the heart?")
psgd.addNumericField("Which frame to choose?", 1, 0)
psgd.addCheckbox("Use table of selected frames?", False)
psgd.showDialog()
choose = psgd.getNextNumber()
choice = psgd.getCheckboxes().get(0).getState()
#open a tab separated txt file with one column Frame selected
if choice == 1:
choose = 0
IJ.run("Table... ", "open=")
frametable = WM.getWindow("selected_frames.txt")
meta = frametable.getTextPanel()
metaRT = TP.getResultsTable(meta)
# Choose a directory
directory_load = DirectoryChooser(
"Select the directory of your files").getDirectory()
def showSettingsDialog(self):
if self.__image.getOverlay() is not None : self.__image.getOverlay().clear()
rm = RoiManager.getInstance()
if (rm==None): rm = RoiManager()
#rm.runCommand("Deselect")
#for i in range(rm.getCount()) :
# rm.select(i)
# rm.runCommand("Set Color", "0000FF", 2)
IJ.resetThreshold(self.__image)
rm.runCommand("Show All")
self.__ranges.clear()
#areas, means, majors, minors=[],[],[],[]
#for roi in self.__roisArray:
# m=Morph(self.__image, roi)
# areas.append(m.Area)
# means.append(m.Mean)
# majors.append(m.Major)
# minors.append(m.Minor)
#maxarea=max(areas)*1000
#maxint=max(means)*10
#maxline=max(majors)*100
#maxminline=max(minors)*100
#minline=min(minors)
#namemeasures=["Area", "Mean", "Angle", "Major", "Minor", "Solidity", "AR", "Round", "Circ"]
#maxmeasures=[maxarea, maxint, 180*10, maxline, maxminline, 1*1000, (maxline/minline), 1*1000, 1*1000]
#set1000=Set(["Solidity", "Round", "Circ"])
#set10=Set(["Angle"])
def buttonPressed(event):
temprois=self.getIncludeRois()
for roi in temprois:
m=Morph(self.__image, roi)
IJ.log("----------------------------------")
IJ.log(roi.getName())
for r in self.__ranges.values():
IJ.log(r[0]+" min= "+str(r[1])+" < val="+str(m.__getattribute__(r[0]))+" < max= "+str(r[2]))
IJ.run(self.__image, "Remove Overlay", "")
o=Overlay()
for roi in temprois:
o.addElement(roi)
self.__image.killRoi()
self.__image.setOverlay(o)
self.__image.updateAndDraw()
def updatepressed(event):
self.__image=IJ.getImage()
rm = RoiManager.getInstance()
if (rm==None): rm = RoiManager()
rm.runCommand("reset")
self.__image.killRoi()
IJ.run("Threshold...")
IJ.setAutoThreshold(self.__image, "MaxEntropy")
rt=ResultsTable()
pa=ParticleAnalyzer(ParticleAnalyzer.ADD_TO_MANAGER+ParticleAnalyzer.CLEAR_WORKSHEET , Measurements.AREA+Measurements.ELLIPSE+Measurements.MEAN, rt, 0.00, 10000.00, 0.00, 1.00)
pa.analyze(self.__image)
self.__roisArray=[]
self.__roisArray=rm.getRoisAsArray()
#for i in range(rm.getCount()) :
# rm.select(i)
# rm.runCommand("Set Color", "0000FF", 2)
IJ.resetThreshold(self.__image)
rt.show("tempRT")
areas=rt.getColumn(ResultsTable.AREA)
means=rt.getColumn(ResultsTable.MEAN)
majors=rt.getColumn(ResultsTable.MAJOR)
minors=rt.getColumn(ResultsTable.MINOR)
#print 0
if self.__slidersDict["Area_max"].getMaximum() < int(max(areas)+1):
# print 1
self.__slidersDict["Area_max"].setMaximum(int(max(areas))+1)
if self.__slidersDict["Area_min"].getMaximum() < int(max(areas)+1):
# print 2
self.__slidersDict["Area_min"].setMaximum(int(max(areas))+1)
if self.__slidersDict["Mean_max"].getMaximum() < int(max(means)+1):
# print 3
self.__slidersDict["Mean_max"].setMaximum(int(max(means))+1)
if self.__slidersDict["Mean_min"].getMaximum() < int(max(means)+1):
# print 4
self.__slidersDict["Mean_min"].setMaximum(int(max(means))+1)
if self.__slidersDict["Major_max"].getMaximum() < int(max(majors)):
# print 5
self.__slidersDict["Major_max"].setMaximum(int(max(majors))+1)
if self.__slidersDict["Major_min"].getMaximum() < int(max(majors)+1):
# print 6
self.__slidersDict["Major_min"].setMaximum(int(max(majors))+1)
if self.__slidersDict["Minor_max"].getMaximum() < int(max(minors)+1):
# print 7
self.__slidersDict["Minor_max"].setMaximum(int(max(minors))+1)
if self.__slidersDict["Minor_min"].getMaximum() < int(max(minors)+1):
# print 8
self.__slidersDict["Minor_min"].setMaximum(int(max(minors))+1)
if self.__slidersDict["AR_max"].getMaximum() < int((max(majors)+1)/min(minors)+1):
# print 9
self.__slidersDict["AR_max"].setMaximum(int((max(majors)+1)/(min(minors))))
if self.__slidersDict["AR_min"].getMaximum() < int((max(majors)+1)/min(minors)):
# print 10
self.__slidersDict["AR_min"].setMaximum(int((max(majors)+1)/(min(minors))))
#print 11
for sb in self.__slidersDict.values():
sb.repaint()
#rm.runCommand("reset")
#temprois=self.getIncludeRois()
#IJ.run(self.__image, "Remove Overlay", "")
#o=Overlay()
#for roi in temprois:
# o.addElement(roi)
#self.__image.killRoi()
#self.__image.setOverlay(o)
self.__image.updateAndDraw()
def resetpressed(event):
self.__ranges.clear()
self.__image=IJ.getImage()
rm = RoiManager.getInstance()
if (rm==None): rm = RoiManager()
rm.runCommand("reset")
self.__image.killRoi()
IJ.setAutoThreshold(self.__image, "MaxEntropy")
rt=ResultsTable()
pa=ParticleAnalyzer(ParticleAnalyzer.ADD_TO_MANAGER+ParticleAnalyzer.CLEAR_WORKSHEET , Measurements.AREA+Measurements.ELLIPSE+Measurements.MEAN, rt, 0.00, 10000.00, 0.00, 1.00)
pa.analyze(self.__image)
self.__roisArray=[]
self.__roisArray=rm.getRoisAsArray()
#rm.runCommand("Show All")
#rm.runCommand("Select All")
#rm.runCommand("Set Color", "blue")
IJ.resetThreshold(self.__image)
keys=self.__slidersDict.keys()
for k in keys:
if k.endswith("min"):
self.__slidersDict[k].setValue(0)
self.__slidersDict[k].repaint()
else:
self.__slidersDict[k].setValue(self.__slidersDict[k].getMaximum())
self.__slidersDict[k].repaint()
def valueChanged(event):
name=event.getSource().getName()
names=name.split("_")
factor=1
if names[0] in self.__set1000: factor=0.001
if names[0] in self.__set10:factor=0.1
value=event.getSource().getValue()*factor
if names[1]=="min":
self.__ranges[names[0]]=(names[0], value, self.__slidersDict[names[0]+"_max"].getValue()*factor, self.__boxesDict[names[0]].getState())
#self.__ranges[names[0]]=(names[0], value, self.__slidersDict[names[0]+"_max"].getValue()*factor)
else: self.__ranges[names[0]]=(names[0], self.__slidersDict[names[0]+"_min"].getValue()*factor, value, self.__boxesDict[names[0]].getState())
#self.__ranges[names[0]]=(names[0], self.__slidersDict[names[0]+"_min"].getValue()*factor, value)
temprois=self.getIncludeRois()
IJ.run(self.__image, "Remove Overlay", "")
o=Overlay()
for roi in temprois:
o.addElement(roi)
self.__image.killRoi()
self.__image.setOverlay(o)
self.__image.updateAndDraw()
def selectAll(event):
name=event.getSource().getLabel()
names=name.split("_")
factor=1
if names[0] in self.__set1000: factor=0.001
if names[0] in self.__set10:factor=0.1
name=event.getSource().getLabel()
names=name.split("_")
value=event.getSource().getState()
self.__ranges[names[0]]=(names[0], self.__slidersDict[names[0]+"_min"].getValue()*factor, self.__slidersDict[names[0]+"_max"].getValue()*factor, value)
gd0=NonBlockingGenericDialog("settings")
gd0.setResizable(True)
gd0.setFont(Font("Courrier", 1, 8))
count=0
self.__slidersDict={}
self.__boxesDict={}
self.__boxesDict.clear()
self.__slidersDict.clear()
for i in range(len(self.__namemeasures)):
gd0.setInsets(-10,0,0)
gd0.addSlider("Min"+self.__namemeasures[i], 0, self.__maxmeasures[i], 0)
gd0.getSliders().get(count).adjustmentValueChanged = valueChanged
gd0.getSliders().get(count).setName(self.__namemeasures[i]+"_min")
self.__slidersDict[self.__namemeasures[i]+"_min"]=gd0.getSliders().get(count)
gd0.addSlider("Max"+self.__namemeasures[i], 0, self.__maxmeasures[i], self.__maxmeasures[i])
gd0.getSliders().get(count+1).adjustmentValueChanged = valueChanged
gd0.getSliders().get(count+1).setName(self.__namemeasures[i]+"_max")
self.__slidersDict[self.__namemeasures[i]+"_max"]=gd0.getSliders().get(count+1)
gd0.addCheckbox("all", True)
gd0.getCheckboxes().get(i).itemStateChanged = selectAll
gd0.getCheckboxes().get(i).setLabel(self.__namemeasures[i]+"_all")
self.__boxesDict[self.__namemeasures[i]]=gd0.getCheckboxes().get(i)
gd0.setInsets(-10,0,0)
#gd0.addMessage("...........................................................................")
count=count+2
panel0=Panel()
#trybutton=Button("Try")
#trybutton.setActionCommand("DrawOverlay")
#trybutton.actionPerformed = buttonPressed
#updatebutton=Button("Update")
#updatebutton.setActionCommand("Update")
#updatebutton.actionPerformed = updatepressed
#resetbutton=Button("Reset")
#resetbutton.setActionCommand("Reset")
#resetbutton.actionPerformed = resetpressed
#panel0.add(trybutton)
#panel0.add(updatebutton)
#panel0.add(resetbutton)
#gd0.addPanel(panel0)
gd0.setResizable(True)
gd0.showDialog()
#self.__image.setSlice(self.__firstslice)
#self.__image.updateAndDraw()
if gd0.wasOKed():
#for key in self.__ranges.keys(): IJ.log("Measure : "+str(self.__ranges[key][0])+" min = "+str(self.__ranges[key][1])+" max = "+str(self.__ranges[key][2]))
return self.__ranges
def __settings(self, imgName, flag) :
"""
Allows the user to choose several parameters for the tracking.
"""
#fenetre=JFrame("Import")
#optionpane=JOptionPane("Do you want to import previous preferences ?",JOptionPane.QUESTION_MESSAGE ,JOptionPane.YES_NO_OPTION )
#optionpane.setVisible(True)
#dialog = optionpane.createDialog(fenetre, "Import")
#dialog.show()
#choice = optionpane.getValue()
#if choice==JOptionPane.YES_OPTION : self.__ImportPref()
image=self.__dictImages[imgName]
def outputpath(event) :
macrodir=IJ.getDirectory("macros")
frame = Frame("Select the macro file")
fd = FileDialog(frame)
fd.setDirectory(macrodir)
fd.show()
macrodir = fd.getDirectory()
self.__macropath = fd.getFile()
self.__text.setText(self.__macropath)
print self.__macropath
#self.__macropath=IJ.getDirectory("macros")
#self.__macropath=IJ.getDirectory("")
#self.__text.setText(self.__macropath)
panel0=Panel()
pathbutton=Button("Select macro file", actionPerformed = outputpath)
#pathbutton.actionPerformed = outputpath
self.__text = TextField(self.__macropath)
panel0.add(pathbutton)
panel0.add(self.__text)
# -------- start batch mode --------- #
if self.__batch :
pass
#self.__ImportPref(flag)
image.hide()
else :
image.show()
IJ.selectWindow(image.getID())
gd0=NonBlockingGenericDialog("Settings")
gd0.setFont(Font("Courrier", 1, 10))
gd0.addMessage("---------------- PRE-PROCESSING OPTIONS -------------------")
gd0.addCheckbox("Substract Background",self.__subback) #box 1 subback
gd0.addNumericField("Radius",self.__radius,0)
gd0.addCheckbox("Run a macro for pre processing",self.__runmacro) #box 2 runmacro
gd0.addPanel(panel0)
gd0.addMessage("-------------------------------------------")
gd0.addMessage("Tracking parameters")
gd0.addMessage("Coeffs modulate de weight of each parameter")
gd0.addMessage("Max delta set the maximum allowed change in absolute units")
gd0.addMessage(" ")
gd0.addNumericField("Coeff Area : ",self.__distparam[0],0)
gd0.addNumericField("Max deltaArea : ",self.__distparam[1],self.__nbdigits,6,"x times")
gd0.addNumericField("Coeff Angle : ",self.__distparam[2],0)
gd0.addNumericField("Max deltaAngle : ",self.__distparam[3],self.__nbdigits,6,"degrees")
gd0.addNumericField("Coeff Feret : ",self.__distparam[4],0)
gd0.addNumericField("Max deltaFeret : ",self.__distparam[5],self.__nbdigits,6,"x times")
gd0.addNumericField("Coeff PositionX : ",self.__distparam[6],0)
gd0.addNumericField("Max deltaPositionX : ",self.__distparam[7],self.__nbdigits,6,"pixels")
gd0.addNumericField("Coeff PositionY : ",self.__distparam[8],0)
gd0.addNumericField("Max deltaPositionY : ",self.__distparam[9],self.__nbdigits,6,"pixels")
gd0.addMessage("-------------------------------------------")
automethods=AutoThresholder.getMethods()
gd0.addCheckbox("Manual Threshold",self.__manthresh) #box 3 manthresh
gd0.addChoice("Threshol Method : ",automethods,self.__thresMethod)
gd0.addMessage("-------------------------------------------")
#gd0.addCheckbox("Symmetry Around 0-180",self.__optionAngle)
#gd0.addMessage("-------------------------------------------")
#gd0.addCheckbox("Save cell files", self.__optionSave)
#gd0.addMessage("-------------------------------------------")
gd0.addCheckbox("Track new cells", self.__optionNewCells) #box 4 newcells
gd0.addMessage("-------------------------------------------")
gd0.addCheckbox("Generate time list with follow time lapse interval ?", self.__optionTimelapse) #box 5 timelapse
gd0.addNumericField("Estimated time lapse : ",self.__timelapse,self.__nbdigits,6,"seconds")
#gd0.hideCancelButton()
gd0.showDialog()
if gd0.wasCanceled() : return False
#chosenstack=gd0.getNextChoice()
#self.__img=WindowManager.getImage(chosenstack)
self.__subback=gd0.getNextBoolean() #box 1 subback
self.__radius=gd0.getNextNumber()
self.__runmacro=gd0.getNextBoolean() #box 2 runmacro
for i in range(10) : self.__distparam[i]=gd0.getNextNumber()
#self.__distmethod=gd0.getNextChoice()
self.__manthresh=gd0.getNextBoolean() #box 3 manthresh
self.__thresMethod=gd0.getNextChoice()
#self.__optionAngle=gd0.getNextBoolean()
#self.__optionSave=gd0.getNextBoolean()
self.__optionNewCells=gd0.getNextBoolean() #box 4 newcells
self.__optionTimelapse=gd0.getNextBoolean() #box 5 timelapse
self.__timelapse=int(gd0.getNextNumber())
# -------- start end batch mode --------- #
if self.__optionTimelapse :
self.__dictTimeStack[imgName]=range(0,image.getImageStackSize()*self.__timelapse, self.__timelapse)
if not self.__optionTimelapse and self.__source=="image" :
self.__dictTimeStack[imgName]=range(0,image.getImageStackSize())
#if option_import==True :
# temparray=
#else : temparray=self.__calRois("image1", 1)
#imp=self.__dictImages["image1"]
if self.__manthresh :
ip=image.getProcessor()
self.__maxthr=ip.getMaxThreshold()
self.__minthr=ip.getMinThreshold()
temparray=self.__calRois(image, 1)
self.__rr=RangeRois(temparray, image)
if (not self.__batch) :
image.show()
self.__params=self.__rr.showSettingsDialog().values()
if self.__batch : image.hide()
return True
def __settings(self, imgName) :
"""
Lets the user to choose different measures to make, and displays it following the choice of the user.
"""
try : dico=self.__dictCells[imgName]
except KeyError :
try : dico=self.__dictCells[imgName[:-4]]
except KeyError : return False
else : imgName=imgName[:-4]
dico=self.__dictCells[imgName]
for cellname in dico.keys() :
self.__dictMeasures[dico[cellname]]={}
# Represents the datas on a diagram
def diagrambuttonPressed(event) :
IJ.showMessage("Push 'Auto' button each time you want to see the diagram")
x1=10
y1=20
x2=100
y2=50
x3=60
y3=30
xr=10
yr=20
wr=20
hr=20
rect=Rectangle(xr,yr,wr,hr)
#img=IJ.getImage()
#nbslices=self.__img.getImageStackSize()
nbslices=self.__maxLife
IJ.run("Hyperstack...", "title=Diagram type=32-bit display=Color width="+str(x2+(nbslices+1)*x3)+" height="+str(y2+y3*len(dico))+" channels=1 slices="+str(len(self.__measures))+" frames=1")
im=IJ.getImage()
ip=im.getProcessor()
for i in range(len(self.__measures)) :
indiceligne=0
maxvalue=0
minvalue=1000000
im.setPosition(1,i+1,1)
for cellname in self.__listcellname :
indiceligne+=1
for indicecolonne in range(1,nbslices+1):
rect.setLocation(x2+indicecolonne*x3+int(x3/6),(y1+indiceligne*y3-int(y3/2)))
# we create at the first iteration a dictionary with the rectangles (for a future use)
if i==0 :
self.__gridrectangle[(indiceligne,indicecolonne)]=Rectangle(rect)
im.setRoi(rect)
ipr=im.getProcessor()
# we find the min and max values of the datas for a measure given.
if self.__dictMeasures[dico[cellname]][self.__measures[i]][indicecolonne-1]>maxvalue :
maxvalue=self.__dictMeasures[dico[cellname]][self.__measures[i]][indicecolonne-1]
if self.__dictMeasures[dico[cellname]][self.__measures[i]][indicecolonne-1]<minvalue :
minvalue=self.__dictMeasures[dico[cellname]][self.__measures[i]][indicecolonne-1]
# we fill the rectangle with the value of the measure
ipr.setValue(self.__dictMeasures[dico[cellname]][self.__measures[i]][indicecolonne-1])
ipr.fill()
# we write the names and the n of slices on the image with the maxvalue.
ip.setValue(maxvalue)
ip.moveTo(x1,y1)
ip.drawString(self.__measures[i])
for j in range(1,nbslices+1) :
ip.moveTo(x2+j*x3,y1)
ip.drawString("Slice "+str(j))
j=0
for cellname in self.__listcellname :
ip.moveTo(x1,y2+j*y3)
ip.drawString(cellname)
j+=1
im.killRoi()
im=IJ.run(im,"Fire","")
IJ.run("Brightness/Contrast...", "")
#im.setMinAndMax(minvalue,maxvalue)
#im.updateImage()
#we add a mouse listener in order to be able to show the roi corresponding to a rectangle when the user clicks on it.
listener = ML()
listener.name=imgName
for imp in map(WindowManager.getImage, WindowManager.getIDList()):
if imp.getTitle().startswith("Diagram") :
win = imp.getWindow()
if win is None:
continue
win.getCanvas().addMouseListener(listener)
# Represents the datas on a series of graphs.
def graphbuttonPressed(event) :
colors=[]
#img=IJ.getImage()
#nbslices=self.__img.getImageStackSize()
nbslices=self.__maxLife
acell=dico.values()[0]
if self.__useTime :
x = acell.getListTimes()
namex="Time sec"
else :
x = range(1,nbslices+1)
namex = "Frame"
maxx=max(x)
minx=min(x)
#x=[i for i in range(1,nbslices+1)]
font=Font("new", Font.BOLD, 14)
tempname = WindowManager.getUniqueName(self.__img.getShortTitle())
for i in range(len(self.__measures)) :
#print "i", i, self.__measures[i]
yarray=[]
flag=True
miny=10000000000
maxy=-1000000000
#we find the min and max values in order to set the scale.
for cellname in self.__listcellname :
colors.append(dico[cellname].getColor())
yarray.append(self.__dictMeasures[dico[cellname]][self.__measures[i]])
#for meas in self.__dictMeasures[dico[cellname]][self.__measures[i]] :
for meas in yarray[-1] :
if (meas<miny) and (Double.isNaN(meas)==False) :
miny=meas
if max(yarray[-1])>maxy : maxy=max(yarray[-1])
miny-=0.1*miny
maxy+=0.1*maxy
count=0.05
for j in range(len(yarray)) :
if j==0 :
if len(self.__measures)>1 :
plot=Plot("Plots-"+str(self.__measures[i]),namex,str(self.__measures[i]),x,yarray[j])
else :
plot=Plot("Plot-"+tempname,namex,str(self.__measures[i]),x,yarray[j])
plot.setLimits(minx,maxx,miny,maxy)
plot.setColor(colors[j])
plot.changeFont(font)
plot.addLabel(0.05, count, self.__listcellname[j])
else :
plot.setColor(colors[j])
plot.setLineWidth(3)
plot.addPoints(x,yarray[j],Plot.LINE)
plot.addLabel(0.05, count, self.__listcellname[j])
count+=0.05
plot.setColor(colors[0])
plot.show()
if len(self.__measures)>1 :
IJ.run("Images to Stack", "name="+tempname+"-plots title=Plots- use")
#def histbuttonPressed(event) :
#
# pass
# Represents the values in a tab.
def tabbuttonPressed(event) :
tab="\t"
headings=[]
measures=[]
#img=IJ.getImage()
#for i in range(self.__img.getImageStackSize()+1) :
for i in range(self.__maxLife+1) :
headings.append("Slice "+str(i))
headings[0]=WindowManager.getUniqueName(self.__img.getShortTitle())
#for m in self.__measurescompl :
for m in self.__dictMeasures[dico[self.__listcellname[0]]].keys() :
headstring=""
for head in headings:
headstring+=head+tab
tw=TextWindow(self.__listfiles[0]+"-"+m,headstring,"",800,600)
tp=tw.getTextPanel()
#for cellname in dico.keys() :
for cellname in self.__listcellname :
line=[]
line=[str(meas)+tab for meas in self.__dictMeasures[dico[cellname]][m]]
line.insert(0, cellname+tab)
linestr=""
for s in line: linestr+=s
tp.appendLine(linestr)
tp.updateDisplay()
if self.__measuresparambool_global[0] :
tw=TextWindow("Latency","cell\tLatency", "",800,600)
tp=tw.getTextPanel()
for i in range(len(self.__listcellname)) :
#if latencies[i][0] : line=self.__listcellname[i]+"\t"+str(latencies[i][1])
#else : line=self.__listcellname[i]+"\t"+"NaN"
line=self.__listcellname[i]+"\t"+str(latencies[i][1])
tp.appendLine(line)
tp.updateDisplay()
def helpbuttonPressed(event) :
IJ.showMessage("TO DO")
def newsetPressed(event) :
gd0.dispose()
self.__settings()
def alignbuttonPressed(event) :
IJ.showMessage("TO DO")
def mergebuttonPressed(event) :
IJ.showMessage("TO DO")
def saveResults() :
#if len(self.__listcellname) == 0 :
nbslices=self.__maxLife
acell=dico.values()[0]
if self.__useTime :
x = acell.getListTimes()
namex="Time_sec"
else :
x = range(1,nbslices+1)
namex = "Frame"
if not path.exists(self.__rootpath+"Results"+os.path.sep) : os.makedirs(self.__rootpath+os.path.sep+"Results"+os.path.sep, mode=0777)
tab="\t"
nl="\n"
measures=[]
headstring=""
#if self.__savemode : mode = "a"
#else : mode ="w"
mode = "a"
#for i in range(1, self.__maxLife+1) :headstring += "Slice_"+str(i)+tab
for i in range(self.__maxLife) :headstring += str(x[i])+tab
#for m in self.__measurescompl :
for m in self.__dictMeasures[dico[self.__listcellname[0]]].keys() :
f = open(self.__rootpath+"Results"+os.path.sep+m+".txt", mode)
#f.write(m+nl)
f.write(imgName+"-"+self.__time+"-"+m+"-"+namex+tab+headstring+nl)
if len(self.__listcellname) == 0 : f.write("no cells")
else :
for cellname in self.__listcellname :
linestr=cellname+tab
for measure in self.__dictMeasures[dico[cellname]][m] :
#print m, cellname, measure
linestr += str(measure)+tab
linestr+=nl
f.write(linestr)
f.close()
if self.__measuresparambool_global[0] :
m = "Latency"
f = open(self.__rootpath+"Results"+os.path.sep+m+".txt", mode)
f.write(imgName+"-"+self.__time+"-"+m+nl)
for i in range(len(self.__listcellname)) :
#if latencies[i][0] : line=self.__listcellname[i]+"\t"+str(latencies[i][1])
#else : line=self.__listcellname[i]+"\t"+"NaN"
line=self.__listcellname[i]+"\t"+str(latencies[i][1])
line+=nl
f.write(line)
f.close()
#
# ----------- main measures dialog -------------------------
#
# Allows the user to choose the measures to make, etc..
measureslabels_indep=["MaxFeret","MinFeret","AngleFeret","XFeret","YFeret","Area","Angle","Major","Minor","Solidity","AR","Round","Circ","XC","YC","FerCoord","FerAxis","MidAxis"]
measureslabels_dep=["Mean","StdDev","IntDen","Kurt","Skew","XM","YM","Fprofil","MidProfil","NFoci","ListFoci","ListAreaFoci","ListPeaksFoci","ListMeanFoci"]
measureslabels_global=["Latency", "velocity", "cumulatedDist"]
measureslabels_dep_tabonly=set(["MidAxis","FerCoord","FerAxis","Fprofil","MidProfil","ListFoci","ListAreaFoci","ListPeaksFoci","ListMeanFoci"])
ens_measures_global=set(measureslabels_global)
ens_measures_indep=set(measureslabels_indep)
ens_measures_dep=set(measureslabels_dep)
measureslabels=[]
for label in measureslabels_indep :
measureslabels.append(label)
for label in measureslabels_dep :
measureslabels.append(label)
#self.__defaultmeasures=[False for i in range(len(measureslabels))]
#self.__defaultmeasures_global=[False for i in range(len(measureslabels_global))]
gdmeasures=NonBlockingGenericDialog("MeasuresChoice")
gdmeasures.setFont(Font("Courrier", 1, 10))
gdmeasures.addMessage("******* TIME SETTINGS *******")
gdmeasures.addCheckbox("Only starting at begining :", self.__onlystart) # 1 only start
gdmeasures.addNumericField("Minimal Lifetime : ",self.__minLife,0)
gdmeasures.addNumericField("Maximal Lifetime : ",self.__maxLife,0)
#gdmeasures.addNumericField("Maximal Lifetime : ",self.__img.getImageStackSize(),0)
gdmeasures.addCheckbox("x axis in seconds", self.__useTime) # 2 use time
gdmeasures.addMessage("")
gdmeasures.addMessage("")
gdmeasures.addMessage("Choose the measures to make on the cells : ")
gdmeasures.addMessage("******* TIME MEASURES *******")
gdmeasures.addCheckboxGroup(4,8,measureslabels,self.__defaultmeasures)
gdmeasures.addMessage("")
gdmeasures.addMessage("******* GLOBAL MEASURES *******")
gdmeasures.addMessage("PLEASE : If you have selected movement parameters you MUST to select XC and YC !")
gdmeasures.addCheckboxGroup(3,1,measureslabels_global,self.__defaultmeasures_global)
gdmeasures.addNumericField("Noise value for maxima finder: ",self.__noise,0)
gdmeasures.addMessage("")
gdmeasures.addMessage("******* OPTIONS *******")
gdmeasures.addCheckbox("Select the cells in next dialog ?", self.__onlyselect) # 3 only select
gdmeasures.addCheckbox("Save results to text files ?", self.__savetables) # 4 save files
#gdmeasures.addCheckbox("Append mode ?", self.__savemode) # 5 append mode
gdmeasures.addCheckbox("Analyse in batch mode ?", self.__batchanalyse) # 6 analysis batch mode
gdmeasures.addCheckbox("Update overlay ?", self.__updateoverlay) # 7 update overlay
gdmeasures.addMessage("")
gdmeasures.addMessage("")
help_panel=Panel()
helpbutton=Button("HELP")
helpbutton.actionPerformed = helpbuttonPressed
help_panel.add(helpbutton)
gdmeasures.addPanel(help_panel)
gdmeasures.hideCancelButton()
if not self.__batchanalyse :
gdmeasures.showDialog()
self.__onlystart=gdmeasures.getNextBoolean() # 1 only start
self.__minLife=gdmeasures.getNextNumber()
self.__maxLife=gdmeasures.getNextNumber()
self.__useTime=gdmeasures.getNextBoolean() # 2 use time
self.__measuresparambool=[]
self.__measuresparambool_global=[]
for i in range(len(measureslabels)) :
self.__measuresparambool.append(gdmeasures.getNextBoolean())
self.__defaultmeasures[i]=self.__measuresparambool[-1]
for i in range(len(measureslabels_global)) :
self.__measuresparambool_global.append(gdmeasures.getNextBoolean())
self.__defaultmeasures_global[i] = self.__measuresparambool_global[i]
self.__noise=gdmeasures.getNextNumber()
self.__onlyselect=gdmeasures.getNextBoolean() # 3 only select
self.__savetables = gdmeasures.getNextBoolean() # 4 save files
#self.__savemode = gdmeasures.getNextBoolean() # 5 append mode
self.__batchanalyse = gdmeasures.getNextBoolean() # 6 analyse mode
self.__updateoverlay = gdmeasures.getNextBoolean() # 7 update overlay
# we update a list of all cells that have a lifetime corresponding to what the user chose.
if len (self.__allcells) == 0 :
for cellname in dico.keys() :
if dico[cellname].getLifeTime()>=self.__minLife : #and dico[cellname].getLifeTime()<=self.__maxLife :
if self.__onlystart :
if dico[cellname].getSlideInit()<2 : self.__allcells.append(cellname)
else : self.__allcells.append(cellname)
if self.__noise == 0 : self.__noise = None
if self.__batchanalyse : self.__onlyselect = False
if self.__onlyselect :
try :
self.__gw
except AttributeError :
if not path.exists(self.__pathdir+"Selected-Cells"+os.path.sep) : os.makedirs(self.__pathdir+os.path.sep+"Selected-Cells"+os.path.sep, mode=0777)
self.__gw = CellsSelection()
self.__gw.setTitle(imgName)
self.__gw.run(self.__allcells, self.__pathdir+"ROIs"+os.path.sep)
self.__gw.show()
self.__gw.setSelected(self.__allcells)
while not self.__gw.oked and self.__gw.isShowing() :
self.__gw.setLabel("Validate selection with OK !!")
self.__listcellname = list(self.__gw.getSelected())
self.__gw.resetok()
self.__gw.setLabel("...")
self.__gw.hide()
else :
if self.__gw.getTitle() == imgName :
self.__gw.show()
self.__gw.setSelected(self.__listcellname)
self.__listcellname[:]=[]
while not self.__gw.oked and self.__gw.isShowing() :
self.__gw.setLabel("Validate selection with OK !!")
self.__listcellname = list(self.__gw.getSelected())
self.__gw.resetok()
self.__gw.setLabel("...")
self.__gw.hide()
else :
self.__gw.dispose()
if not path.exists(self.__pathdir+"Selected-Cells"+os.path.sep) : os.makedirs(self.__pathdir+os.path.sep+"Selected-Cells"+os.path.sep, mode=0777)
self.__gw = CellsSelection()
self.__gw.setTitle(imgName)
self.__gw.run(self.__allcells, self.__pathdir+"ROIs"+os.path.sep)
self.__gw.show()
self.__gw.setSelected(self.__allcells)
self.__listcellname[:]=[]
while not self.__gw.oked and self.__gw.isShowing() :
self.__gw.setLabel("Validate selection with OK !!")
self.__listcellname = list(self.__gw.getSelected())
self.__gw.resetok()
self.__gw.setLabel("...")
self.__gw.hide()
filestodelet=glob.glob(self.__pathdir+"Selected-Cells"+os.path.sep+"*.cell")
for f in filestodelet : os.remove(f)
for cell in self.__listcellname :
sourcestr = self.__pathdir+"Cells"+os.path.sep+cell+".cell"
deststr = self.__pathdir+"Selected-Cells"+os.path.sep+cell+".cell"
#os.system("copy "+sourcestr+", "+deststr)
#shutil.copy(self.__pathdir+"Cells"+os.path.sep+cell+".cell",self.__pathdir+"Selected-Cells"+os.path.sep+cell+".cell")
shutil.copy(sourcestr,deststr)
self.__dictNcells[imgName] = len(self.__listcellname)
else :
self.__listcellname = list(self.__allcells)
self.__dictNcells[imgName] = len(self.__listcellname)
if len(self.__listcellname) == 0 :
self.__dictNcells[imgName] = 0
return False
self.__img.hide()
# we make the measures.
for i in range(len(measureslabels)) :
IJ.showProgress(i, len(measureslabels))
if self.__measuresparambool[i]==True :
self.__measurescompl.append(measureslabels[i])
if (measureslabels[i] in measureslabels_dep_tabonly)==False :
self.__measures.append(measureslabels[i])
if (i<18) and (measureslabels[i] in ens_measures_indep) :
self.__measureAll(self.__img,measureslabels[i],False, imgName, self.__noise)
ens_measures_indep.discard(measureslabels[i])
if i>=18 :
self.__measureAll(self.__img,measureslabels[i],True, imgName, self.__noise)
if self.__measuresparambool_global[0] : # calculate latency
latencies=[]
for i in range(len(self.__listcellname)) :
IJ.showProgress(i, len(self.__listcellname))
latencies.append(self.latencie(self.__listcellname[i], self.__img, imgName, self.__useTime))
if self.__measuresparambool_global[1] : # calculate velocity
self.__measures.append("velocity")
#velocities=[]
for i in range(len(self.__listcellname)) :
IJ.showProgress(i, len(self.__listcellname))
self.__measureVelocity(self.__img,imgName)
if self.__measuresparambool_global[2] : # calculate cumulatedDistance
self.__measures.append("cumulatedDist")
#velocities=[]
for i in range(len(self.__listcellname)) :
IJ.showProgress(i, len(self.__listcellname))
self.__measurecumulDist(self.__img,imgName)
self.__img.show()
self.__img.getProcessor().resetThreshold()
if self.__updateoverlay :
if self.__img.getOverlay() is not None : self.__img.getOverlay().clear()
outputrois=[]
cellnames=[]
self.__img.hide()
for cellname in self.__listcellname :
for r in dico[cellname].getListRoi():
if isinstance(r,Roi) :
pos=r.getPosition()
#print "MC overlay", cellname, r.getName(), pos
#r.setPosition(0)
#overlay.add(r)
outputrois.append(r)
if "cell" in r.getName() : cellnames.append(r.getName())
else : cellnames.append(str(pos)+"-"+cellname)
#print cellnames[-1]
rm = RoiManager.getInstance()
if (rm==None): rm = RoiManager()
rm.show()
self.__img.show()
IJ.selectWindow(self.__img.getTitle())
rm.runCommand("reset")
for i in range(len(outputrois)) :
outputrois[i].setName(cellnames[i])
rm.addRoi(outputrois[i])
rm.select(rm.getCount()-1)
rm.runCommand("Rename", cellnames[i])
IJ.run("Show Overlay", "")
rm.runCommand("UseNames", "true")
rm.runCommand("Associate", "true")
IJ.run(self.__img, "Labels...", "color=red font=12 show use")
IJ.run(self.__img, "From ROI Manager", "")
rm.runCommand("Show None")
rm.runCommand("Show All")
# ----------- batch analyse ------------------------
if self.__batchanalyse :
if self.__savetables : saveResults()
self.__dictMeasures.clear()
self.__allcells[:]=[]
self.__measurescompl[:]=[]
self.__measures[:]=[]
return False
# ---------- display methodes dialog ----------------
# Allows the user to choose how to see the results of the measures.
gd0=NonBlockingGenericDialog("Display")
gd0.addMessage("How do you want to see the results ?")
panel0=Panel()
diagrambutton=Button("Diagram")
diagrambutton.actionPerformed = diagrambuttonPressed
panel0.add(diagrambutton)
graphbutton=Button("Graph")
graphbutton.actionPerformed = graphbuttonPressed
panel0.add(graphbutton)
tabbutton=Button("Tab")
tabbutton.actionPerformed = tabbuttonPressed
panel0.add(tabbutton)
gd0.addPanel(panel0)
gd0.addCheckbox("Analyse next stack ?", self.__nextstack)
gd0.hideCancelButton()
gd0.showDialog()
self.__nextstack = gd0.getNextBoolean()
# ---------- save tables ---------------------------
if self.__savetables : saveResults()
# --------- re-start analysis -------------------
self.__dictMeasures.clear()
#self.__listcellname[:]=[]
self.__allcells[:]=[]
self.__measurescompl[:]=[]
self.__measures[:]=[]
if self.__nextstack : return False
else : return True
theImage = IJ.getImage()
stayinloop = True
# IJ.run("RGB Color")
injuryfirst = True
injuryLengths = []
totalLengths = []
injuryRatios = []
Xpositions = []
while stayinloop:
gd = NonBlockingGenericDialog("Pick points...")
gd.addMessage("Use multipoint tool to pick points along a column (Y-axis).\nAlternate points to mark injured vs uninjured area.")
gd.setCancelLabel("Quit")
gd.setOKLabel("Define column")
gd.addCheckbox("First segment is injury?",injuryfirst)
gd.showDialog()
if (gd.wasOKed()):
roi = theImage.getRoi()
if roi is None:
IJ.error("No ROI selected")
else:
polygon = roi.getFloatPolygon()
# if len(polygon.xpoints) % 2 == 0 and is_monotonic_increasing(polygon.ypoints):
if is_monotonic_increasing(polygon.ypoints):
xset = average(polygon.xpoints)
IJ.setForegroundColor(255,255,0)
IJ.run("Draw","stack")
IJ.makeLine(xset,0,xset,theImage.getHeight())
rescaledTup = [objectDB[i][j][27]/scale_info[0],objectDB[i][j][28]/scale_info[0],objectDB[i][j][29],objectDB[i][j][30]/scale_info[0],objectDB[i][j][31]/scale_info[0],objectDB[i][j][32]]
objectDB[i][j] = objectDB[i][j] + rescaledTup
## Draws the bounding boxes in the precomputed way
virginImage = IJ.getImage()
theImage = virginImage.duplicate()
virginImage.hide()
boxImages = []
for i in range(len(objectDB)):
boxImages.append(draw_bounding_boxes(objectDB[i],"image_"+str(i+1),virginImage))
virginImage.show()
## Sets up main GUI interface for examining found objects
ngd = NonBlockingGenericDialog("Control box")
ngd.addCheckbox("Contained_objects",False)
ngd.addCheckbox("Duplicated_objects",False)
ngd.addCheckbox("Restitched_objects",False)
ngd.addCheckbox("Unique_objects",False)
boxes = ngd.getCheckboxes()
checkboxObjects = []
for i in range(boxes.size()):
checkboxObjects.append(boxes.elementAt(i))
for i in range(len(checkboxObjects)):
checkboxObjects[i].addItemListener(CustomCheckboxListener(objectDB,virginImage,boxImages,boxes))
ngd.setCancelLabel("Exit")
ngd.setOKLabel("Inspect")
ngd.showDialog()
if (ngd.wasCanceled()):
titles = WindowManager.getImageTitles()
p = re.compile(r'^Result')
gw.show()
gw.setSelected(dictRois.keys())
while not gw.oked and gw.isShowing() :
gw.setLabel("Validate selection with OK !!")
listcellname = list(gw.getSelected())
gw.resetok()
gw.setLabel("...")
gw.hide()
rm.runCommand("reset")
if imp.getOverlay() is not None : imp.getOverlay().clear()
overlay=Overlay()
imp.setOverlay(overlay)
gd0=NonBlockingGenericDialog("settings")
gd0.addCheckbox("Show the overlay during the process ? (slow option)", False)
gd0.addNumericField("Minimal Lifetime : ",10,0)
gd0.addNumericField("Minimal distance to reversion : ",4,0)
gd0.addNumericField("Sub sampling ? : ",1,0)
gd0.addNumericField("Radius for fluo tracking ? : ",8,0)
gd0.showDialog()
isShow = gd0.getNextBoolean()
minLife = gd0.getNextNumber()
mind = gd0.getNextNumber()
subs = gd0.getNextNumber()
rayon = gd0.getNextNumber()
if gd0.wasCanceled() :
isShow = True
imp.show()
T = txt2list(os.path.join(thisdir, 't.csv'))
X = txt2list(os.path.join(thisdir, 'x.csv'))
Y = txt2list(os.path.join(thisdir, 'y.csv'))
nuclei = defaultdict(list)
for i, t in enumerate(T):
nuclei[t] = (X[i], Y[i])
print 'Working on: ', cID
# Add listener to image
listener = PointRoiRefresher(imp, nuclei)
ImagePlus.addImageListener(listener)
# Wait for user to clear current cell
gd = NonBlockingGenericDialog("Advance to next cell?")
gd.setOKLabel('Next')
gd.setCancelLabel('Completely exit')
gd.addCheckbox('Skip this cell?', False)
gd.showDialog()
if gd.wasOKed(): # OK means 'advance'
imp.removeImageListener(listener)
if gd.getNextBoolean():
with open(os.path.join(thisdir, 'skipped.txt'), 'w') as f:
f.write('Skipped')
# Log the cell as done
with open(log_filename, 'a') as f:
f.write(''.join((cID, '\n')))
print "Advancing to next cell..."
continue
if gd.wasCanceled(): # Cancel means 'exit'
imp.removeImageListener(listener)
print "Exiting completely."
)
if ChCheck > 1:
IJ.run(
imp2, "Properties...", "channels=1 slices=" + str(total) +
" frames=1 unit=micron pixel_width=2.3140 pixel_height=2.3140 voxel_depth=2.5005 frame=[0.02 sec]"
)
# The dialag has to be non-blocking to interact with the data, this dialog will access the controller classes and handle your images
# The dialag needs to be out of a function to get global variables
gd = NonBlockingGenericDialog("6D_processor")
gd.addSlider("C", 1, ch, 1)
gd.addSlider("Z", 0, zplanes - 1, 0)
gd.addSlider("T", 0, frames - 1, 0)
gd.addSlider("L", 0, loops - 1, 0)
# Make checkboxes for output functions
gd.addCheckbox("Make subset", False)
gd.addCheckbox("Split into XYTC", False)
gd.addCheckbox("Arg. csv BeatSync", False)
# The UI elements for the above two inputs
slider1 = gd.getSliders().get(0) # the only one
slider2 = gd.getSliders().get(1)
slider3 = gd.getSliders().get(2)
slider4 = gd.getSliders().get(3)
# Set initial position for the two channels
if ChCheck > 1:
imp2.setPosition(1, 51, 1)
#Access controller classes
previewer1 = ControllerC(imp, slider1)
previewer2 = ControllerZ(imp, slider2)
" application_channel=" + str(channel) + " automatic_operation" +
" generate_log max_slice=43 surface_slice=87")
IJ.run(activeImage,"Refractive Signal Loss Correction",params)
dataImage = WindowManager.getImage("App Corrected")
refCorrectedImage = WindowManager.getImage("Ref Corrected")
refCorrectedImage.close()
dataImage.setLut(LUT.createLutFromColor(Color.WHITE))
dataImage.setCalibration(calib)
dataImage.show()
## Interface dialog for setting object finding parameters
virginImage = dataImage.duplicate()
gd10 = NonBlockingGenericDialog("Select size and threshold parameters...")
gd10.addNumericField("Minimum_size:",100,0)
gd10.addSlider("Threshold_intensity:",0,255,128)
gd10.addCheckbox("Min_filter",False)
gd10.addCheckbox("Med_filter",False)
gd10.addCheckbox("Work_on_ROI",False)
sliders = gd10.getSliders()
boxes = gd10.getCheckboxes()
texts = gd10.getNumericFields()
sizeText = texts.elementAt(0)
thresholdSlider = sliders.elementAt(0)
thresholdSlider.addAdjustmentListener(ThresholdListener(dataImage))
minFilterBox = boxes.elementAt(0)
medFilterBox = boxes.elementAt(1)
workROIBox = boxes.elementAt(2)
minFilterBox.addItemListener(MinCheckboxListener(dataImage,virginImage,medFilterBox))
medFilterBox.addItemListener(MedCheckboxListener(dataImage,virginImage,minFilterBox))
workROIBox.addItemListener(WorkROICheckboxListener(dataImage,thresholdSlider,sizeText,workROIBox))
gd10.showDialog()
m = p.search(metadata)
if m is None:
ytiles = 0
else:
ytiles = int(m.group(1))
nTiles = xtiles*ytiles
## Opens the options dialog box
gd = NonBlockingGenericDialog("Select channel...")
gd.addChoice("Analysis_channel",["Channel "+str(i) for i in range(1,nChannels+1)],"Channel 1")
gd.addChoice("Bleeding_channel",["Channel "+str(i) for i in range(nChannels+1)],"Channel 0")
gd.addChoice("Refractive_reference_channel",["Channel "+str(i) for i in range(nChannels+1)],"Channel 0")
gd.addNumericField("Intensity_threshold",128,0)
gd.addNumericField("Size_threshold",100,0)
gd.addChoice("Process_filter",["None","Min","Median"],"None")
gd.addCheckbox("Operate_on_tile_subset",False)
gd.addStringField("Which_tile_subset","1-4,9,11",12)
gd.showDialog()
## Parses the information from the dialog box
if (gd.wasOKed()):
analysisChannel = gd.getNextChoiceIndex()+1
bleedingChannel = gd.getNextChoiceIndex()
refChannel = gd.getNextChoiceIndex()
intThreshold = gd.getNextNumber()
sizeThreshold = gd.getNextNumber()
processFilter = gd.getNextChoiceIndex()
doSubset = gd.getNextBoolean()
whichTiles = gd.getNextString()
tileList = []
parsingFailed = False
from ij import IJ
from ij import ImagePlus
from ij.gui import NonBlockingGenericDialog
from ij.gui import WaitForUserDialog
from ij.plugin import ChannelSplitter
from ij.plugin import ImageCalculator
from ij.measure import ResultsTable
from ij.measure import Measurements
from ij.plugin.filter import Analyzer
## Main body of script
theImage = IJ.getImage()
gd = NonBlockingGenericDialog("Pick parameters...")
gd.addChoice("Analysis_channel",["Channel "+str(i+1) for i in range(theImage.getNChannels())],"Channel 1")
gd.addNumericField("Pick_threshold",50,0)
gd.addCheckbox("Apply_min",True)
gd.showDialog()
if (gd.wasOKed()):
analysisChannel = gd.getNextChoiceIndex() + 1
intensityThreshold = gd.getNextNumber()
doMin = gd.getNextBoolean()
splitImage = ChannelSplitter.split(theImage)
dataImage = splitImage[analysisChannel-1].duplicate()
if doMin:
IJ.run(dataImage,"Minimum...", "radius=2 stack")
goRun = True
rt = ResultsTable()
while goRun:
wfud = WaitForUserDialog("Pick freehand ROI, then hit OK to analyze")
wfud.show()
roi = theImage.getRoi()
