use of cbit.vcell.VirtualMicroscopy.UShortImage in project vcell by virtualcell.
the class RunFakeSim method compute0.
@Override
protected void compute0(TaskContext context, final ClientTaskStatusSupport clientTaskStatusSupport) throws Exception {
// set input
Simulation sim = context.getData(simulation_2D);
Double max_intensity = context.getData(maxIntensity);
Double bleachLockingBegin = context.getData(bleachBlackoutBeginTime);
Double bleachLockoutEnd = context.getData(bleachBlackoutEndTime);
Boolean hasNoise = context.getData(bNoise);
// do op
RunFakeSimOp op = new RunFakeSimOp();
ImageTimeSeries<UShortImage> solution = op.runRefSimulation(context.getLocalWorkspace(), sim, max_intensity, bleachLockingBegin, bleachLockoutEnd, hasNoise, clientTaskStatusSupport);
// set output
context.setData(simTimeSeries, solution);
}
use of cbit.vcell.VirtualMicroscopy.UShortImage in project vcell by virtualcell.
the class GenerateActivationRoiOp method generateActivatedRoi.
public ROI generateActivatedRoi(Image firstPostactivation, ROI cellROI_2D, Double activationThreshold) throws ImageException {
int numPixels = firstPostactivation.getNumXYZ();
short[] scaledActivatedDataShort = new short[numPixels];
short[] erodedCellUShort = cellROI_2D.getRoiImages()[0].getBinaryPixels(1);
// input is already normalized to 1.0 ... if relative to max, then crazy values from outside cell can interfere.
double activationThresholdValue = activationThreshold;
double[] firstPostactivationImage = firstPostactivation.getDoublePixels();
for (int j = 0; j < numPixels; j++) {
boolean isCell = (erodedCellUShort[j] == 1);
boolean isActivation = firstPostactivationImage[j] > activationThresholdValue;
if (isCell && isActivation) {
scaledActivatedDataShort[j] = 1;
}
}
UShortImage activatedImage = new UShortImage(scaledActivatedDataShort, firstPostactivation.getOrigin(), firstPostactivation.getExtent(), firstPostactivation.getNumX(), firstPostactivation.getNumY(), firstPostactivation.getNumZ());
ROI bleachedROI = new ROI(activatedImage, "bleachedROI");
return bleachedROI;
}
use of cbit.vcell.VirtualMicroscopy.UShortImage in project vcell by virtualcell.
the class GenerateCellROIsFromRawFrapTimeSeriesOp method generate.
public GeometryRoisAndBleachTiming generate(ImageTimeSeries rawTimeSeriesImages, double cellThreshold) throws Exception {
Image[] allImages = rawTimeSeriesImages.getAllImages();
int numPixels = allImages[0].getNumXYZ();
int numTimes = allImages.length;
ImageStatistics[] imageStats = new ImageStatistics[numTimes];
for (int i = 0; i < numTimes; i++) {
imageStats[i] = allImages[i].getImageStatistics();
}
//
// find largest change in fluorescence (ratio of total[n]/total[n+1]
//
int indexPostbleach = -1;
double largestRatio = 0.0;
for (int tIndex = 0; tIndex < numTimes - 1; tIndex++) {
double currentRatio = imageStats[tIndex].meanValue / imageStats[tIndex + 1].meanValue;
if (currentRatio > largestRatio) {
largestRatio = currentRatio;
indexPostbleach = tIndex + 1;
}
}
double[] firstImagePixels = allImages[0].getDoublePixels();
short[] scaledCellDataShort = new short[numPixels];
short[] scaledBackgoundDataShort = new short[numPixels];
short[] wholeDomainDataShort = new short[numPixels];
//
// find cell and background by thresholding the first image
//
double cellThresholdValue = cellThreshold * imageStats[0].maxValue;
for (int j = 0; j < numPixels; j++) {
boolean isCell = firstImagePixels[j] > cellThresholdValue;
if (isCell) {
scaledCellDataShort[j] = 1;
} else {
scaledBackgoundDataShort[j] = 1;
}
}
UShortImage cellImage = new UShortImage(scaledCellDataShort, allImages[0].getOrigin(), allImages[0].getExtent(), allImages[0].getNumX(), allImages[0].getNumY(), allImages[0].getNumZ());
UShortImage backgroundImage = new UShortImage(scaledBackgoundDataShort, allImages[0].getOrigin(), allImages[0].getExtent(), allImages[0].getNumX(), allImages[0].getNumY(), allImages[0].getNumZ());
Arrays.fill(wholeDomainDataShort, (short) 1);
UShortImage wholeDomainImage = new UShortImage(wholeDomainDataShort, allImages[0].getOrigin(), allImages[0].getExtent(), allImages[0].getNumX(), allImages[0].getNumY(), allImages[0].getNumZ());
UShortImage reverseCell = UShortImage.fastDilate(cellImage, 15, wholeDomainImage);
reverseCell.reverse();
reverseCell.and(backgroundImage);
backgroundImage = reverseCell;
ROI cellROI = new ROI(cellImage, "cellROI");
ROI backgroundROI = new ROI(backgroundImage, "backgroundROI");
GeometryRoisAndBleachTiming results = new GeometryRoisAndBleachTiming();
results.cellROI_2D = cellROI;
results.backgroundROI_2D = backgroundROI;
results.indexOfFirstPostbleach = indexPostbleach;
return results;
}
use of cbit.vcell.VirtualMicroscopy.UShortImage in project vcell by virtualcell.
the class GenerateDependentImageROIsOp method generate.
public ROI[] generate(ROI cellROI_2d, ROI bleachedROI_2d) throws Exception {
UShortImage cellROI_2D = null;
UShortImage bleachedROI_2D = null;
UShortImage dilatedROI_2D_1 = null;
UShortImage dilatedROI_2D_2 = null;
UShortImage dilatedROI_2D_3 = null;
UShortImage dilatedROI_2D_4 = null;
UShortImage dilatedROI_2D_5 = null;
UShortImage erodedROI_2D_0 = null;
UShortImage erodedROI_2D_1 = null;
UShortImage erodedROI_2D_2 = null;
cellROI_2D = cellROI_2d.getRoiImages()[0];
bleachedROI_2D = bleachedROI_2d.getRoiImages()[0];
dilatedROI_2D_1 = UShortImage.fastDilate(bleachedROI_2D, 4, cellROI_2D);
dilatedROI_2D_2 = UShortImage.fastDilate(bleachedROI_2D, 10, cellROI_2D);
dilatedROI_2D_3 = UShortImage.fastDilate(bleachedROI_2D, 18, cellROI_2D);
dilatedROI_2D_4 = UShortImage.fastDilate(bleachedROI_2D, 28, cellROI_2D);
dilatedROI_2D_5 = UShortImage.fastDilate(bleachedROI_2D, 40, cellROI_2D);
erodedROI_2D_0 = new UShortImage(bleachedROI_2D);
// The erode always causes problems if eroding without checking the bleached length and height.
// we have to check the min length of the bleached area to make sure erode within the length.
Rectangle bleachRect = bleachedROI_2D.getNonzeroBoundingBox();
if (bleachRect == null || bleachRect.isEmpty()) {
throw new RuntimeException("bleach ROI is null or empty");
}
int minLen = Math.min(bleachRect.height, bleachRect.width);
if ((minLen / 2.0) < 5) {
erodedROI_2D_1 = UShortImage.erodeDilate(bleachedROI_2D, UShortImage.createCircularBinaryKernel(1), bleachedROI_2D, true);
erodedROI_2D_2 = UShortImage.erodeDilate(bleachedROI_2D, UShortImage.createCircularBinaryKernel(2), bleachedROI_2D, true);
} else {
erodedROI_2D_1 = UShortImage.erodeDilate(bleachedROI_2D, UShortImage.createCircularBinaryKernel(2), bleachedROI_2D, true);
erodedROI_2D_2 = UShortImage.erodeDilate(bleachedROI_2D, UShortImage.createCircularBinaryKernel(5), bleachedROI_2D, true);
}
UShortImage reverseErodeROI_2D_1 = new UShortImage(erodedROI_2D_1);
reverseErodeROI_2D_1.reverse();
erodedROI_2D_0.and(reverseErodeROI_2D_1);
UShortImage reverseErodeROI_2D_2 = new UShortImage(erodedROI_2D_2);
reverseErodeROI_2D_2.reverse();
erodedROI_2D_1.and(reverseErodeROI_2D_2);
UShortImage reverseDilateROI_2D_4 = new UShortImage(dilatedROI_2D_4);
reverseDilateROI_2D_4.reverse();
dilatedROI_2D_5.and(reverseDilateROI_2D_4);
UShortImage reverseDilateROI_2D_3 = new UShortImage(dilatedROI_2D_3);
reverseDilateROI_2D_3.reverse();
dilatedROI_2D_4.and(reverseDilateROI_2D_3);
UShortImage reverseDilateROI_2D_2 = new UShortImage(dilatedROI_2D_2);
reverseDilateROI_2D_2.reverse();
dilatedROI_2D_3.and(reverseDilateROI_2D_2);
UShortImage reverseDilateROI_2D_1 = new UShortImage(dilatedROI_2D_1);
reverseDilateROI_2D_1.reverse();
dilatedROI_2D_2.and(reverseDilateROI_2D_1);
UShortImage reverseBleach_2D = new UShortImage(bleachedROI_2D);
reverseBleach_2D.reverse();
dilatedROI_2D_1.and(reverseBleach_2D);
ArrayList<ROI> rois = new ArrayList<ROI>();
// rois.add(new ROI(this.bleachedROI_2D.getData())); // copy this one through
rois.add(new ROI(erodedROI_2D_2, VFRAP_ROI_ENUM.ROI_BLEACHED_RING1.name()));
rois.add(new ROI(erodedROI_2D_1, VFRAP_ROI_ENUM.ROI_BLEACHED_RING2.name()));
rois.add(new ROI(erodedROI_2D_0, VFRAP_ROI_ENUM.ROI_BLEACHED_RING3.name()));
rois.add(new ROI(dilatedROI_2D_1, VFRAP_ROI_ENUM.ROI_BLEACHED_RING4.name()));
rois.add(new ROI(dilatedROI_2D_2, VFRAP_ROI_ENUM.ROI_BLEACHED_RING5.name()));
rois.add(new ROI(dilatedROI_2D_3, VFRAP_ROI_ENUM.ROI_BLEACHED_RING6.name()));
rois.add(new ROI(dilatedROI_2D_4, VFRAP_ROI_ENUM.ROI_BLEACHED_RING7.name()));
rois.add(new ROI(dilatedROI_2D_5, VFRAP_ROI_ENUM.ROI_BLEACHED_RING8.name()));
Iterator<ROI> roiIter = rois.iterator();
while (roiIter.hasNext()) {
ROI roi = roiIter.next();
short[] roiPixels = roi.getBinaryPixelsXYZ(1);
int numPixels = roiPixels.length;
int count = 0;
for (int p = 0; p < numPixels; p++) {
if (roiPixels[p] != 0) {
count++;
}
}
if (count == 0) {
roiIter.remove();
}
}
return rois.toArray(new ROI[0]);
}
use of cbit.vcell.VirtualMicroscopy.UShortImage in project vcell by virtualcell.
the class ComputeMeasurementErrorOp method computeNormalizedMeasurementError.
public RowColumnResultSet computeNormalizedMeasurementError(NormalizedSampleFunction[] rois, int indexPostbleach, ImageTimeSeries<UShortImage> rawImageDataset, FloatImage prebleachAvgImage, final ClientTaskStatusSupport clientTaskStatusSupport) throws ImageException {
UShortImage[] rawImages = rawImageDataset.getAllImages();
double[] timeStamps = rawImageDataset.getImageTimeStamps();
double[][] sigma = refreshNormalizedMeasurementError(rawImages, timeStamps, prebleachAvgImage, rois, indexPostbleach);
String[] columnNames = new String[rois.length + 1];
columnNames[0] = "t";
for (int i = 0; i < rois.length; i++) {
columnNames[i + 1] = rois[i].getName();
}
RowColumnResultSet rowColumnResultSet = new RowColumnResultSet(columnNames);
double[] allTimePoints = timeStamps;
for (int time = 0; time < (allTimePoints.length - indexPostbleach); time++) {
double[] rowValues = new double[rois.length + 1];
rowValues[0] = allTimePoints[time + indexPostbleach];
for (int col = 0; col < rois.length; col++) {
rowValues[col + 1] = sigma[col][time];
}
rowColumnResultSet.addRow(rowValues);
}
return rowColumnResultSet;
}
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