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from ij import IJ, Prefs | |
from ij.gui import Roi | |
from pta import PTA | |
from pta.gui import ShowPdata | |
from pta.track import DetectParticle | |
from pta.data import PtaParam | |
from java.util import ArrayList | |
from ij.plugin.frame import ThresholdAdjuster | |
from ij.process import ImageProcessor | |
# set data path | |
#datafilepath = "/Users/miura/Dropbox/20130805_Osaka/data/transferrin-movement/tconc1_3.tif" | |
datafilepath = "/Users/miura/Dropbox/20130805_Osaka/data/transferrin-movement/tconc10_16.tif" | |
# load data as an ImagePlus object | |
imp = IJ.openImage(datafilepath) | |
# default ROI = full frame | |
scanAreaRoi = Roi(0,0,imp.getWidth(),imp.getHeight()) | |
# set intensity threshold to the iamge | |
ip = imp.getProcessor() | |
Prefs.blackBackground = True | |
ht = ip.getAutoThreshold() | |
ip.setThreshold(ht, ip.getMax(), ImageProcessor.RED_LUT) | |
# **** Set PTA parameters **** | |
PTA.setDetectionState(True) | |
#PTA.setDebugMode() | |
# set no GUI mode | |
PTA.setNoGUI(True) | |
# set Detection Parameters. | |
# PtaParam.Builder(int roiSizex,int roiSizey,boolean do2dGaussfit) | |
ptap = PtaParam.Builder(12,12, False).build() | |
### more ways to customize paramters | |
#ptap.setDo2dGaussfit(False) | |
#ptap.setDo2dGaussfit(True) | |
#ptap.setMinIntensity(100.0) | |
#ptap.setSearchPointIncrement(1) | |
# **** Tracking **** | |
# instantiate a DetectParticle object | |
# DetectParticle(PtaParam ptap, ij.ImagePlus imp, ij.gui.Roi scanRoi, boolean nogui) | |
dp = DetectParticle(ptap,imp,scanAreaRoi, True) | |
# set range of frames to analyze | |
dp.setStackRange(1, imp.getStackSize()) | |
# start threads. | |
dp.start() | |
# wait till the processing finishes | |
dp.join() | |
# stop the thread. | |
dp.interrupt() | |
PTA.setDetectionState(False) | |
# **** output results **** | |
# show detection results | |
imp.show() | |
# Particle lists | |
#ll = dp.getalldplist() | |
#print ll | |
# track lists | |
tracks = dp.getLinkedPointList() | |
print "=== tracks ===" | |
for t in tracks: | |
if len(t) > 2: | |
print t | |
# MSD analysis | |
# if "Linear", then y = a + bx | |
msds = dp.getMSDres(5.0, True) | |
print "msd data size", msds.size() | |
for msd in msds: | |
print "ID", msd.getID(), "A", msd.getA(), \ | |
"B", msd.getB(), "Res", msd.getR() | |
# TODO: write MSD values in a csv file. | |
# http://cmci.embl.de/documents/120206pyip_cooking/python_imagej_cookbook#saving_csv_file_data_table | |
# discard the DetextParticle Object | |
dp = None | |
##Back to the GUI mode: without this line, PTA GUI will not showup from next time. | |
PTA.setNoGUI(False) |
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