""" Folder watcher used for smart imaging It first pop up a user input to choose the method to use for smart imaging anf if we are in a test mode (in this case we have to define an image folder and the job files will be saved in a subfolder) Then it calls Config method from the corresponding script for smart imaging that pops up another user input window to configure this selected method. Once this configuration is closed, the main script calls the Run method from the subscript with every image it founs while watching the folder The Run method perform the smart imaging detection and return the objective coordinates for the high magnification acquisition. NB : the compution of the corrdiantes is done in the subscript since it has access to the image and template dimension. It could be done in the main script below but this would mean returning a lot of variables fron the subscript The main script use this coordinates to geenrate the JobFile before going to the next image. This is repeated until the max number of images set in the configuration window is reached (or until the macro is killed, otherwise the folder watching keeps going on) This version is made for IM04 only since the metadata for objective... are extracted from the filename """ #@PrefService prefs from __future__ import division import os, time from os.path import join,isdir,isfile from ij import IJ from fiji.util.gui import GenericDialogPlus from java.lang.System import getProperty from ast import literal_eval from ROIdetection.SearchRoi import getSearchRoi ##################################################################################### def Process(ListFile,doJob): '''call Run with each image and write Jobfile if specified''' global count for FileName in ListFile: if IJ.escapePressed(): print "Escape" IJ.log("Escape") break # Generate FilePath FilePath = join(Path_ImageFolder,FileName) # Check that it is a file and not a folder if isdir(FilePath): # Filepath is a folder print "Skip folder"+FilePath continue else: # Filepath is a file # Report Progress message = '\nProcess '+FileName print message IJ.log(message) # Call Run and write job file if doJob: x,y = Run(FilePath) # Check X,Y values if x==None and y==None: message = "Smart imaging returned None. No higher magnification imaging for this image" print message IJ.log(message) else: WriteJob(FilePath,FileName,x,y) else: # doJob=False or Test mode -> dont write the job files Run(FilePath) # update count of processed image count += 1 if count == CountMax : message = '\nDONE - Processed all images' print message IJ.log(message) break # Create function that will write the job files def WriteJob(ImagePath,ImageName,x,y): ''' Function that will be call with each image after detection of the region of interest x,y : pixel coordinates of the center of the ROI found by smart imaging X0, Y0 : initial objective coordinates for this image (mm) X,Y : Objective coordinates in mm with 3 decimal digits for high objective imaging ''' global JobFolder,doSwitch # Write job file for higher magnification for each processed image IJ.log('Writing job file') print 'Writing job file' # Extract Metadata before writing job file - IM4 name convention here ! Well = ImageName[1:5] # A1 for instance WellNum = int(ImageName[106:111]) # 1 to 96, convert to int to remove leading 0 PixelSize_Low = ImageName[34:39] PixelSize_mm = int(PixelSize_Low)*10**-7 # /10000 -> um then /1000 -> mm ObjIdx_Low = PixToObj[PixelSize_Low] # Get objective index from pixel size read from image name Obj_Low = ObjToMag[ObjIdx_Low] # Magnification '2X','4X','10X' or '20X' # initial objective coordinates at low resolution X0 = int(ImageName[65:71]) /1000 # >0 in mm Y0 = int(ImageName[74:80]) /1000 # >0 in mm #Power = int(ImageName[43:47]) #Integration = int(ImageName[51:55]) # Recover image dimension Image = IJ.openImage(ImagePath) Image_Width = Image.width Image_Height = Image.height # Generate new coordinates for the objective from detected central ROI pixel X = X0 + (-Image_Width/2 + x)*PixelSize_mm # result in mm Y = Y0 + (-Image_Height/2 + Image_Height -y)*PixelSize_mm # for Y consider the 0 for pixel coordinates is at the bottom. Substract half the image (we are at the bottom), then add the Image height (we are at the top) then substract the Y center (template + tempalte Height) X = round(X,3) # allow only 3 decimal Y = round(Y,3) # Create IMSF file Path_TmpFileName = os.path.join(JobFolder, ImageName+".tmp") # first created as a tmp file to prevent machine from reading itthen rename as .job JobFile = open(Path_TmpFileName,'w') JobFile.write("SetWellNo({})\n".format(WellNum)) JobFile.write("SetMeta('Well Coordinate','{}')\n".format(Well)) JobFile.write("SetMeta('Well Pos in Well','1')\n") JobFile.write("GotoXY({:.3f},{:.3f},'Abs')\n".format(X,Y)) # x,y as float 3-decimal, force the trailing 0 if 0 as last decimal JobFile.write("SetMeta('Objective','{}')\n".format(HighObj_Mag)) # '2X','4X','10X' or '20X' JobFile.write("SetMeta('Objective Pixel Size','{}')\n".format(PixelSize_High)) JobFile.write("SetObjective({})\n".format(ObjIdx_High)) ''' JobFile.write("SetLight(6,10,10,0.000)\n") JobFile.write("AcquireAutofocus(7,100.000,2,'True','True')\n") JobFile.write("SetLight(6,50,10,0.000,'Flash')\n") JobFile.write("AcquireAutofocus(6,20.000,2,'True','True')\n") JobFile.write("SetLight(6,50,10,0.000)\n") JobFile.write("Acquire(1,0.000,1,'D:\IMAGING-DATA\IMAGES\SCRIPTS','True','SIdata')\n") # Images will be saved in a subfolder SIdata ''' JobFile.write(Script+'\n') # Switching off the light JobFile.write("SetLight(0,0,0,0)\n") if doSwitch: # Going back to previous obj. JobFile.write("SetMeta('Objective','{}')\n".format(Obj_Low)) JobFile.write("SetMeta('Objective Pixel Size','{}')\n".format(PixelSize_Low)) JobFile.write("SetObjective({})\n".format(ObjIdx_Low)) else: # The switch should be done for the very last well ? pass JobFile.close() # Rename from tmp to job Path_JobFileName = Path_TmpFileName[:-4]+'.job' # Check that the job file is not already existing if isfile(Path_JobFileName): IJ.log('Overwriting existing JobFile') print 'Overwriting existing JobFile' os.remove(Path_JobFileName) # Finally rename from .tmp to .job os.rename(Path_TmpFileName,Path_JobFileName) ######################################################################################## # I - Open GUI to select method # Try to recover previous input from persistence Method0 = prefs.get("SImethod","Template matching") CountMax0 = prefs.getInt("nWell",96) # this one fails Test0 = prefs.getInt("Test",True) # for Boolean use getInt (see forum for bug) Path_ImageFolder0 = prefs.get("ImagePathSI","ImageFolder") HighObj_Mag0 = prefs.get("HighMag","10x") doJob0 = prefs.getInt("WriteJob",False) doSwitch0 = prefs.getInt("SwitchObj",True) template = """SetLight(6,10,10,0.000) AcquireAutofocus(7,100.000,2,'True','True') SetLight(6,50,10,0.000,'Flash') AcquireAutofocus(6,20.000,2,'True','True') SetLight(6,50,10,0.000) Acquire(1,0.000,1,'D:\IMAGING-DATA\IMAGES\SCRIPTS','True','SIdata') """ Script0 = prefs.get(None,"SIscript",template) # Input GUI Win = GenericDialogPlus("Smart Imaging") Win.addChoice("Smart imaging method",["Template matching","Keypoint matching","Run IJmacro"],Method0) Win.addNumericField("Number of well to process",CountMax0,0) Win.addCheckbox("Test mode (if not on the microscope)",Test0) Win.addDirectoryField("Directory to watch (in test mode)",Path_ImageFolder0) Win.addChoice("Objective for smart imaging",["2x","4x","10x","20x"],HighObj_Mag0) Win.addCheckbox("Write job files", doJob0) # JobFile are written anyway if we are not in Test mode Win.addCheckbox("Switch to previous objective after each smart imaging job", doSwitch0) # Add a text field with the smart imaging script Win.addMessage("Copy/Paste a smart imaging script in the field below or use a template : ") Win.addTextAreas(Script0,None,5,100) # Add help button Disclaimer = '''

The smart imaging is the implementation of feedback microscopy on Acquifer's imaging machine.
The idea is to use image recognition scripts to automatically detect the ROI in the low magnification images,
and perform the corresponding high magnification acquisition. See documentation.

''' Win.addHelp(Disclaimer) Win.showDialog() # First Window = Smart imaging setting the folder watching if Win.wasOKed(): # Recover inputs Method = Win.getNextChoice() CountMax = Win.getNextNumber() Test = Win.getNextBoolean() Path_ImageFolder = Win.getNextString() HighObj_Mag = Win.getNextChoice() doJob = Win.getNextBoolean() doSwitch = Win.getNextBoolean() Script = Win.getNextText() # correspondance used to write the job file PixToObj = {'32500':1, '16250':2, '6500':3, '3250':4} # map pixel size from the filename to objective index ObjToPix = {v: k for k, v in PixToObj.iteritems()} # invert mapping MagToObj = {'2x':1, '4x':2, '10x':3, '20x':4} # Mapping magnification to its objective index ObjToMag = {v: k for k, v in MagToObj.iteritems()} # Mapping index to magnification ObjIdx_High = MagToObj[HighObj_Mag] # Get objective index from magnification for SI given by user PixelSize_High = ObjToPix[ObjIdx_High] # Get Pixel size from obj index # Save the inputs to memory/persistence prefs.put("SImethod",Method) prefs.put("nWell",int(CountMax)) prefs.put("Test",Test) prefs.put("ImagePathSI",Path_ImageFolder) prefs.put("HighMag",HighObj_Mag) prefs.put("WriteJob",doJob) prefs.put("SwitchObj",doSwitch) prefs.put("SIscript",Script) # Check if there is a ROI to limit the search searchROI = getSearchRoi() # Set the run method according to choice # TEMPLATE MATCHING if Method == "Template matching": from ROIdetection.MatchTemplate_Module import GUI,PreProcessTemplate, ProcessImage, AddToTable, OutPut Input = GUI() if Input == None : Cancel = True # make sure it does not throw an error when it is cancelled else: Cancel = False PathTemplate,FlipV,FlipH,inAngles,Method,ShowIm,ShowMap,ShowTable,SaveFound = Input # Open template and pre-process it Template = IJ.openImage(PathTemplate) ListTemplateWithFlipped, ListTemplateFlip90_Name, ListTemplateFlip90CV, otherAngle = PreProcessTemplate(Template,FlipV,FlipH,inAngles,searchROI) def Run(PathImage): Image = IJ.openImage(PathImage) BestTemplateName, BestXcorner, BestYcorner, BestXcenter, BestYcenter, BestCoeff, BestMap, FoundRoi = ProcessImage(Image, ListTemplateWithFlipped, ListTemplateFlip90_Name, ListTemplateFlip90CV, Method, otherAngle, searchROI) # Update result table if ShowTable: AddToTable(Image.getTitle(), BestTemplateName, BestXcorner, BestYcorner, BestXcenter, BestYcenter, BestCoeff) # Display image and results OutPut(Image, ShowIm, ShowMap, SaveFound, FoundRoi) return BestXcenter, BestYcenter # KEYPOINT MATCHING elif Method == "Keypoint matching" : from ROIdetection.Keypoint_Module import Run, Config Cancel = Config() # IJ MACRO elif Method == "Run IJmacro": from ROIdetection.Macro_Module import Run, Config Cancel = Config() ''' # Recover script services to run the fiji macro from org.scijava.script import ScriptService context = locals()['org.scijava.script.ScriptModule'].getContext() ScriptServ = context.getService(ScriptService) # We dont import Run directly we need to add the extra service parameter compare to the other cases from ROIdetection import Macro_Module def Run(ImagePath, doJob=False): Macro_Module.Run(ScriptServ,ImagePath,doJob) ''' ### START PROCESSING ### if Cancel: print "Smart imaging was cancelled" pass else: # We perform the rest of the smart imaging IJ.resetEscape() # used to monitor if we quit # I - FIND IMAGE FOLDER if not Test: # We are really doing smart imaging Path_LocationFile = r"D:\IMAGING-DATA\JOBS\Image_Location.pth" #Path_LocationFile = r"C:\Users\Laurent Thomas\Desktop\Test\Image_Location.pth" # for tests JobFolder = r"D:\IMAGING-DATA\JOBS" #Try to read the LocationFile to get the image folder FoundLocation = False while not FoundLocation : if IJ.escapePressed(): # the escape can be caught by an image, the ImageJ menu bar or the log window (one of them must be selected) break # but still execute code after the while if we dont stop it properly time.sleep(1) # 1sec delay - prevent loop to run too fast and overload processes try : LocationFile = open(Path_LocationFile,'r') Path_ImageFolder = LocationFile.readline().rstrip() # read content of file and remove new line character LocationFile.close() os.remove(Path_LocationFile) # delete file once read FoundLocation = True print 'Found image location : ', Path_ImageFolder IJ.log('Found image location : ' + Path_ImageFolder) except Exception, Error : # File not existing yet FoundLocation = False print Error IJ.log(str(Error)) else: # in test mode #Path_ImageFolder = Path_ImageFolder.getCanonicalPath() # Convert from Java file to its path #Path_ImageFolder = Path_ImageFolder if doJob : JobFolder = join(Path_ImageFolder,"JOBS") if not os.path.exists(JobFolder): os.mkdir(JobFolder) # II - FOLDER WATCHING and calling the Run method from the imported script before = os.listdir(Path_ImageFolder) # initialisation must be out of the while loop since we are updating it with "current" at the end of the loop # INITIALISATION - We process the image present in the folder before ImageLocation.pth is created (currently this is the case, some image are saved before the file is created) count = 0 # initialise count of processed images Process(before,doJob) # images in test folder (if test mode) or written before the ImageLocation.pth # CONTINUATION Delay = 5 # delay in sec between successive scans for new image while count < CountMax and not IJ.escapePressed(): # strictly inferior since count starts at 0, and we update it after processing the image ie once we process the last image the counter will be CountMax and we dont want to run another round # Check if new files time.sleep(Delay) # before_List was updated just previously at the end of the loop so delay prior to a new listdir scan current = os.listdir(Path_ImageFolder) new = list( set(current) - set(before) ) # list containing new file and folder name in folder Path_ImageFolder if new != []: # New Files have appeared - PUT THE CODE TO EXECUTE HERE Process(new, doJob) else: # No new files, keep runnning the loop pass # update the 'history' of the folder watcher, and going for another round of while (except if we reached the count) before = current # In any case report if escaped if IJ.escapePressed(): print "Interrupted by Escape" IJ.log("Interrupted by Escape")