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nuctrack.py
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nuctrack.py
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''' Intensity dynamics in the nuclear periphery
with Andrea Boni, Ellenberg lab
Kota Miura (miura@embl.de)
Requires: 2 channel time series image stack. ch1 = signail, ch2 = dapi
'''
# store all results in the table.
# list nucleus in the first frame
# create instance of nucpath for each
# there should be path plotted, to check linking.
# store path for each, series of next frame numbers.
# for each nucelus,
# esttimate the boudary rectangle that fits the nucelus
# extract substack (of binary)
# create rim
# do measurement
# show intensity dynamics for each, all.
# reject edge touching nucleus
from java.lang import Double
from ij.gui import Roi
from ij import IJ, ImageStack, ImagePlus
from ij.plugin.filter import ParticleAnalyzer as PA
from ij.plugin import ChannelSplitter as CS
from ij.plugin import Duplicator
from ij.measure import ResultsTable
from ij.measure import Measurements as Meas
from java.util import ArrayList
import jarray
from java.lang import Math
G_RimHalfWidth = 3
def segmentNuc(impc2):
impdup = Duplicator().run(impc2)
IJ.run(impdup, "8-bit", "")
IJ.run(impdup, "Gaussian Blur...", "sigma=1.5 stack")
# AutoThresholder().getThreshold(AutoThresholder.Method.valuOf('Otsu'), int[] histogram)
IJ.setAutoThreshold(impdup, "Otsu dark")
IJ.run(impdup, "Convert to Mask", "stack")
#IJ.setAutoThreshold(impdup, "Otsu dark")
#opt = PA.SHOW_MASKS + PA.SHOW_RESULTS + PA.EXCLUDE_EDGE_PARTICLES + PA.INCLUDE_HOLES # option for stack missing
opt = PA.SHOW_MASKS + PA.EXCLUDE_EDGE_PARTICLES + PA.INCLUDE_HOLES # option for stack missing
##area mean centroid bounding integrated stack redirect=None decimal=4
meas = Meas.AREA + Meas.MEAN + Meas.CENTROID + Meas.RECT + Meas.INTEGRATED_DENSITY + Meas.STACK_POSITION
rt = ResultsTable().getResultsTable()
pa = PA(opt, meas, rt, 10.0, 300000.0, 0, 1.0)
PA.processStack = True
pa.setHideOutputImage(True)
##run("Analyze Particles...", "size=800-Infinity circularity=0.00-1.00 pixel show=Masks display exclude include stack");
outstack = ImageStack(impdup.getWidth(), impdup.getHeight())
for i in range(1,impdup.getStackSize()+1):
impdup.setSlice(i)
pa.analyze(impdup)
impbin = pa.getOutputImage()
outstack.addSlice(impbin.getProcessor())
impbin = ImagePlus("out", outstack)
IJ.run(impbin, "Invert LUT", "")
#IJ.run(impbin, "Fill Holes", "stack")
return impbin, rt
def extractRIM(impbin, iteration):
IJ.run(imp, "Options...", "iterations=1 count=1 edm=Overwrite do=Nothing");
impErode = Duplicator().run(impbin)
impDilate = Duplicator().run(impbin)
# resized = CanvasResizer().expandStack(impDilate.getStack(), impDilate.getWidth()+2*iteration, impDilate.getHeight()+2*iteration, iteration, iteration)
# impDilate.setStack(None, resized);
for j in range(impErode.getStackSize()):
ipe = impErode.getStack().getProcessor(j+1)
ipe.setBackgroundValue(0)
ipd = impDilate.getStack().getProcessor(j+1)
ipd.setBackgroundValue(0)
for i in range(iteration):
ipe.erode()
ipd.dilate()
# IJ.run(impErode, "Dilate", "stack")
# IJ.run(impDilate, "Erode", "stack")
# resized = CanvasResizer().expandStack(impDilate.getStack(), impDilate.getWidth()-2*iteration, impDilate.getHeight()-2*iteration, -1*iteration, -1*iteration)
# impDilate.setStack(None, resized);
# impErode.show()
# Duplicator().run(impDilate).show()
for i in range(1, impbin.getStackSize()+1):
impDilate.setSlice(i)
impErode.setSlice(i)
ImageCalculator().calculate("XOR", impDilate, impErode)
return impDilate;
# transfer colums in ResultsTable to arrays
def parseResultsTable(rt):
indexA = []
cxA = rt.getColumnAsDoubles(rt.getColumnIndex("X"))
cyA = rt.getColumnAsDoubles(rt.getColumnIndex("Y"))
bxA = rt.getColumnAsDoubles(rt.getColumnIndex("BX"))
byA = rt.getColumnAsDoubles(rt.getColumnIndex("BY"))
widthA = rt.getColumnAsDoubles(rt.getColumnIndex("Width"))
heightA = rt.getColumnAsDoubles(rt.getColumnIndex("Height"))
sliceA = rt.getColumnAsDoubles(rt.getColumnIndex("Slice"))
# cyA = rt.getColumnAsDoubles(rt.getColumnIndex("NextFrame"))
for i in range(len(cxA)):
indexA.append(i+1)
return cxA, cyA, bxA, byA, widthA, heightA, sliceA, indexA
# collect centroids information in the initial frame
# then follow 'nextID' to load successive nucleus
# all paths are then stored in a dictionary, key=pathid and value = Path instance
def parseNucs(indexA, cxA, cyA, bxA, byA, widthA, heightA, frameA, nextidA):
pathlist = {}
for i in range(0, len(frameA)):
n = Nuc(indexA[i])
n.setParam(cxA[i], cyA[i], bxA[i], byA[i], widthA[i], heightA[i], frameA[i], nextidA[i])
if int(frameA[i]) == 1:
p = Path(indexA[i])
p.addNuc(n)
pathlist[indexA[i]] = p
#print 'pathid', indexA[i]
while n.nextid != -1 and n.nextid != p.nucs.get(len(p.nucs)-1).nucid:
nid = n.nextid
#print '...', nid
n = Nuc(nid)
n.setParam(cxA[nid], cyA[nid], bxA[nid], byA[nid], widthA[nid], heightA[nid], frameA[nid], nextidA[nid])
p.addNuc(n)
return pathlist
# single path (time series of nucelus)
class Path:
def __init__(self, pathid):
self.pathid = pathid
self.nucs = ArrayList()
self.touchesEdge = False
self.minbx = 0
self.minby = 0
self.maxbx = 0
self.maxby = 0
self.binstack = ImagePlus()
self.rimstack = ImagePlus()
self.actualbx = 0
self.actualby = 0
self.actualww = 0
self.actualhh = 0
def addNuc(self, nuc):
self.nucs.add(nuc)
def getNucs(self):
return self.nucs
def getPathID(self):
return self.pathid
def settouchesEdge(self, touches):
self.touchesEdge = touches
def clearOtherNucs(self, ip, wandx, wandy):
wandx, wandy = int(wandx), int(wandy)
if ip.getPixel(wandx, wandy) == 255:
wan = Wand(ip)
wan.autoOutline(wandx, wandy)
#print "selected", wan.npoints
roi = ShapeRoi(PolygonRoi(wan.xpoints , wan.ypoints, wan.npoints, Roi.FREEROI))
allroi = ShapeRoi(Roi(0,0, ip.getWidth(), ip.getHeight()))
#imp.setRoi(roi.xor(allroi))
ip.setColor(0)
ip.fill(roi.xor(allroi))
# imp.updateAndDraw()
def extractSubStacks(self, imp, start, end, offset):
self.actualbx = self.minbx - offset
self.actualby = self.minby - offset
if self.actualbx < 0:
self.actualbx = 0
if self.actualby < 0:
self.actualby = 0
self.actualww = self.maxbx-self.minbx + 2*offset
if self.minbx + self.actualww > imp.getWidth()-1:
self.actualww = imp.getWidth() - self.minbx -1
self.actualhh = self.maxby-self.minby + 2*offset
if self.minby + self.actualhh > imp.getHeight()-1:
self.actualhh = imp.getHeight() - self.minby -1
#imp.setRoi(self.minbx, self.minby, self.maxbx-self.minbx, self.maxby-self.minby)
imp.setRoi(self.actualbx, self.actualby, self.actualww, self.actualhh)
subimp = Duplicator().run(imp, int(start), int(end))
return subimp
def defaultextractSubStacks(self, imp):
start = self.nucs.get(0).frame
end = self.nucs.get(len(self.nucs)-1).frame
imp.setRoi(self.actualbx, self.actualby, self.actualww, self.actualhh)
subimp = Duplicator().run(imp, int(start), int(end))
return subimp
# returns a substack, for both ch1 and ch2
def getPathStack(self, imp, offset):
start = self.nucs.get(0).frame
end = self.nucs.get(len(self.nucs)-1).frame
subimp = self.extractSubStacks(imp, start, end, offset)
return subimp
# returns a rim stack of ch2
def getRimSubStack(self, binimp, morphiter):
subimp = self.getPathStack(binimp, morphiter + 15) # 15 is to have some more space at the edge
for i in range(subimp.getStackSize()):
wx = self.nucs.get(i).x - self.actualbx
wy = self.nucs.get(i).y - self.actualby
self.clearOtherNucs(subimp.getStack().getProcessor(i+1), wx , wy)
rimimp = extractRIM(subimp, morphiter)
return rimimp
# Single nucleus class
class Nuc:
def __init__(self, nucid):
self.nucid = nucid
self.area = 0
self.mean = 0
self.max = 0
self.min = 0
self.sd = 0
self.roi = Roi(0, 0, 1, 1)
def setParam(self, x, y, bx, by, width, height, frame, nextid):
self.x = x
self.y = y
self.bx = bx
self.by = by
self.width = width
self.height = height
self.frame = frame
self.nextid = nextid
def getNucID(self):
return self.nucid
def getNextID(self):
return self.nextid
def getParam(self):
return self.x, self.y, self.bx, self.by, self.width, self.height, self.frame, self.nextid
def setMeasurementResults(self, mean, max, min, sd, area):
self.mean, self.max, self.min, self.sd, self.area = mean, max, min, sd, area
def getMeasurementResults(self):
return self.mean, self.max, self.min, self.sd, self.area
def setRoi(self, roi):
self.roi = roi
# check if nucleus is present through the sequence
# 1. for a centroid, if that position in the next frame is none-positive, then there is no nucleus.
def checkPresenceinNextFrame(impbin, rt, cxA, cyA, sliceA):
stacksize = impbin.getStackSize()
hasNextFrame = ArrayList()
for i in range(len(cxA)):
if sliceA[i] < stacksize:
#impbin.setSlice(sliceA[i])
pixval = impbin.getStack().getProcessor(int(sliceA[i])+1).getPixel(int(cxA[i]), int(cyA[i]))
#print int(cxA[i]), int(cyA[i]), pixval
hasNextFrame.add(pixval == 255)
return hasNextFrame
def linkNucelus(cxA, cyA, sliceA, hasNextFrame):
nextFrame = list(range(len(cxA)))
for i in range(len(hasNextFrame)):
if (hasNextFrame.get(i)):
currentSlice = int(sliceA[i])
mindist = 10000
for j in range(len(sliceA)):
if int(sliceA[j]) == currentSlice+1 :
#print currentSlice, int(sliceA[j])
currentdist = distance(cxA[i], cyA[i], cxA[j], cyA[j])
if mindist > int(currentdist):
#print currentdist
mindist = currentdist
nextFrame[i] = j
#print i, 'slice', sliceA[i], 'to ', nextFrame[i], ': Minimum', mindist
else:
nextFrame[i] = -1
return nextFrame
def distance(a, b, c, d):
ans = pow((pow(a-c, 2) + pow(b-d, 2)), 0.5)
return ans
def write2ResultsTable(rt, heading, dataA):
for i in range(len(dataA)):
rt.setValue(heading, i, Double.valueOf(dataA[i]))
def setROIsize(pathdict):
for pathid, path in pathdict.iteritems():
abxA, abyA, abwA, abhA = parseBounds(path.nucs)
path.minbx = int(reduce(Math.min, abxA))
path.minby = int(reduce(Math.min, abyA))
path.maxbx = int(reduce(Math.max, abwA))
path.maxby = int(reduce(Math.max, abhA))
#print pathid, 'Bound', path.minbx, path.minby, path.maxbx, path.maxby
def parseBounds(nucs):
abxA = []
abyA = []
abwA = []
abhA = []
for nuc in nucs:
abxA.append(nuc.bx)
abyA.append(nuc.by)
abwA.append(nuc.bx + nuc.width)
abhA.append(nuc.by + nuc.height)
return abxA, abyA, abwA, abhA
def clearOtherNucs(ip, wandx, wandy):
if ip.getPixel(wandx, wandy) == 255:
wan = Wand(ip)
wan.autoOutline(wandx, wandy)
#print "selected", wan.npoints
roi = ShapeRoi(PolygonRoi(wan.xpoints , wan.ypoints, wan.npoints, Roi.FREEROI))
allroi = ShapeRoi(Roi(0,0, ip.getWidth(), ip.getHeight()))
#imp.setRoi(roi.xor(allroi))
ip.setColor(0)
ip.fill(roi.xor(allroi))
# imp.updateAndDraw()
# simlar to Edit > Selection > selection from mask
def roiFromMask255(ip):
ip.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
#IJ.runPlugIn("ij.plugin.filter.ThresholdToSelection", "");
aroi = ThresholdToSelection().convert(ip)
return aroi
# measure intensity dynamics and store in path instances
def measureIntDynamics(pathdict, impbin, GdilateIter, impc1):
for pathid, path in pathdict.iteritems():
subrim = path.getRimSubStack(impbin, GdilateIter)
subch1 = path.defaultextractSubStacks(impc1)
for i in range(subrim.getStackSize()):
#subrim.setSlice(i+1)
roi = roiFromMask255(subrim.getStack().getProcessor(i+1))
#print 'nuc',i, ' - roi', roi.toString()
subch1.setSlice(i+1)
subch1.setRoi(roi)
stat = subch1.getStatistics(Meas.MEAN + Meas.MIN_MAX + Meas.AREA + Meas.STD_DEV)
path.nucs.get(i).setMeasurementResults(stat.mean, stat.max, stat.min, stat.stdDev, stat.area)
path.nucs.get(i).setRoi(roi)
'''
IJ.run(subrim, "Red", "")
images = jarray.array([subrim, subch1], ImagePlus)
comb = RGBStackMerge().mergeHyperstacks(images, False)
comb.setRoi(path.nucs.get(0).roi, True)
comb.show()
'''
def creatResultsCompisite(pathdict, impbin, impsig):
impbin.killRoi()
impsig.killRoi()
impid = Duplicator().run(impbin)
IJ.run(impbin, "Red", "")
for i in range(impid.getStackSize()):
impid.getStack().getProcessor(i+1).setColor(0)
impid.getStack().getProcessor(i+1).fill()
impid.getStack().getProcessor(i+1).setColor(255)
for pathid, path in pathdict.iteritems():
for nuc in path.nucs:
ip = impid.getStack().getProcessor(int(nuc.frame))
ip.setColor(255)
ip.drawString(str(pathid), int(nuc.x), int(nuc.y))
#print 'Draw Path ID:',str(pathid)
images = jarray.array([impbin, impsig, impid], ImagePlus)
comb = RGBStackMerge().mergeHyperstacks(images, False)
comb.setTitle('Measurement Map.tif')
return comb
#return impid
def getMaxforAllIntensity(pathdict):
mean = []
max = []
pathlength = []
for pathid, path in pathdict.iteritems():
pathlength.append(len(path.nucs))
for nuc in path.nucs:
mean.append(float(nuc.mean))
max.append(float(nuc.max))
meanMax = reduce(Math.max, mean)
maxMax = reduce(Math.max, max)
meanMin = reduce(Math.min, mean)
maxMin = reduce(Math.min, max)
pathlenMax = reduce(Math.max, pathlength)
return meanMax, maxMax, meanMin, maxMin, pathlenMax
from java.awt import Color
def intensityPlotter(path, pathid, meanMax, maxMax, meanMin, maxMin, pathlenMax):
#path = pathdict[pathid]
if len(path.nucs) < 5:
print 'Path', pathid, ' omitted since only', str(len(path.nucs)), 'p[oints sampled'
return
mean = []
sd = []
max = []
frames = []
for nuc in path.nucs:
mean.append(float(nuc.mean))
sd.append(float(nuc.sd))
max.append(float(nuc.max))
frames.append(float(nuc.frame))
jmean = jarray.array(mean , 'd')
jframes =jarray.array(frames , 'd')
jmax = jarray.array(max , 'd')
plottitle = "Plot nucleus " + str(int(pathid))
# pt = Plot(plottitle, "Frames", "Intensity")
pt = Plot(plottitle, "Frames", "Intensity")
pt.setLimits(0, pathlenMax+1, meanMin, maxMax)
pt.setColor(Color.red)
pt.addPoints(jframes, jmean, pt.LINE)
pt.setColor(Color.lightGray )
pt.addPoints(jframes, jmax, pt.LINE)
#pt.addPoints(jframes, jmean, pt.CIRCLE)
#pt.draw()
pt.show()
# added on 20121129
# argument is the results table of above
# returned value can be listed in the ROi Manager by
#rmgr = RoiManager.getInstance()
#if rmgr is None:
#rmgr = RoiManager()
#for aroi in roisA:
##imp.setRoi(aroi)
#rmgr.addRoi(aroi)
def getTrackRois(resultstable):
rt = resultstable
nextframeA = rt.getColumn(rt.getColumnIndex('NextFrame'))
sliceA = rt.getColumn(rt.getColumnIndex('Slice'))
xA = rt.getColumn(rt.getColumnIndex('X'))
yA = rt.getColumn(rt.getColumnIndex('Y'))
imp = IJ.getImage()
donecheckA = list(range(len(nextframeA)))
roisA = []
for i, slicenum in enumerate(sliceA):
if slicenum == 1:
roix = [int(xA[i])]
roiy = [int(yA[i])]
ci = i
print 'Start', roix, roiy
count = 0
while (nextframeA[int(ci)] != -1) and (slicenum < 160) and count<160:
nexti = int(nextframeA[ci])
nextslice = int(sliceA[nexti])
roix.append(int(xA[nexti]))
roiy.append(int(yA[nexti]))
#print '...', int(xA[nexti]), int(yA[nexti])
ci = nexti
slicenum = nextslice
count +=1
#print roix
if len(roix) > 1:
jroix = jarray.array(roix, 'f')
jroiy = jarray.array(roiy, 'f')
pr = PolygonRoi(jroix, jroiy , len(roix), Roi.POLYLINE)
roisA.append(pr)
GdilateIter = 2
imp = IJ.getImage()
#chsA = CS.split(imp)
#impc1 = chsA[0]
#impc2 = chsA[1]
impc2 = imp
IJ.run("Clear Results", "");
#IJ.run(impc1, "Set Scale...", "distance=0 known=0 pixel=1 unit=pixel");
IJ.run(impc2, "Set Scale...", "distance=0 known=0 pixel=1 unit=pixel");
impbin, rt = segmentNuc(impc2, GdilateIter)
#imprim = extractRIM(impbin, GdilateIter)
rt.show("Results")
cxA, cyA, bxA, byA, widthA, heightA, frameA, indexA = parseResultsTable(rt)
hasNextFrame = checkPresenceinNextFrame(impbin, rt, cxA, cyA, frameA)
nextFrame = linkNucelus(cxA, cyA, frameA, hasNextFrame)
'''
for i in nextFrame:
print i, 'slice', frameA[i], 'to ', nextFrame[i]
'''
write2ResultsTable(rt, 'NextFrame', nextFrame)
rt.show("Results")
pathdict = parseNucs(indexA, cxA, cyA, bxA, byA, widthA, heightA, frameA, nextFrame)
setROIsize(pathdict)
#'''
for pathid, path in pathdict.iteritems():
print pathid, 'path length=', len(path.nucs) ,'x:', path.nucs.get(0).x, 'y:', path.nucs.get(0).x
print pathid, '... bounds', path.minbx, path.minby, path.maxbx, path.maxby
#'''
#measureIntDynamics(pathdict, impbin, GdilateIter, impc1)
'''
for nuc in pathdict[2].nucs:
print nuc.getMeasurementResults()
print nuc.roi.toString()
subrim = pathdict[3].getRimSubStack(impbin, GdilateIter)
subrim.setRoi(pathdict[3].nucs.get(0).roi)
subrim.show()
'''
#comb = creatResultsCompisite(pathdict, imprim, impc1)
#comb.show()
#meanMax, maxMax, meanMin, maxMin, pathlenMax = getMaxforAllIntensity(pathdict)
#print 'Max of mean', meanMax, 'Max of max', maxMax
#print 'Min of mean', meanMin, 'Min of max', maxMin
'''
for pathid, path in pathdict.iteritems():
intensityPlotter(path, pathid, meanMax, maxMax, meanMin, maxMin, pathlenMax)
'''
'''
for pathid, path in pathdict.iteritems():
print '=== path', pathid, '==='
for nuc in path.nucs:
print 'frame',nuc.frame, '... mean =', nuc.mean
'''
#keymax = reduce(Math.max, pathdict.keys())
#for i in range(keymax):
#if pathdict.has_key(i):
#intensityPlotter(pathdict[i], i, meanMax, maxMax, meanMin, maxMin, pathlenMax)
#print '=== path', i, '==='
#for nuc in pathdict[i].nucs:
#print 'frame',nuc.frame, '... mean =', nuc.mean