Search in sources :

Example 1 with DefaultLinearAxis

use of net.imagej.axis.DefaultLinearAxis in project imagej-omero by imagej.

the class OMEROFormat method axis.

private static LinearAxis axis(final AxisType axisType, final RInt origin, final RInt scale) {
    final DefaultLinearAxis axis = new DefaultLinearAxis(axisType);
    calibrate(axis, i(origin), i(scale), "nm");
    return axis;
}
Also used : DefaultLinearAxis(net.imagej.axis.DefaultLinearAxis)

Example 2 with DefaultLinearAxis

use of net.imagej.axis.DefaultLinearAxis in project vcell by virtualcell.

the class ConstructTIRFGeometry method run.

@Override
public void run() {
    // Calculate constant d in TIRF exponential decay function
    // Angle of incidence in radians
    theta = theta * 2 * Math.PI / 360;
    // Refractive index of glass
    final double n1 = 1.52;
    // Refractive index of cytosol
    final double n2 = 1.38;
    final double d = lambda * Math.pow((Math.pow(n1, 2) * Math.pow(Math.sin(theta), 2) - Math.pow(n2, 2)), -0.5) / (4 * Math.PI);
    System.out.println("d: " + d);
    final double fluorPerMolecule = 250;
    // Get frame of interest to define geometry
    long maxX = data.dimension(0) - 1;
    long maxY = data.dimension(1) - 1;
    Interval interval = Intervals.createMinMax(0, 0, sliceIndex, maxX, maxY, sliceIndex);
    RandomAccessibleInterval<T> croppedRAI = ops.transform().crop(data, interval, true);
    // Subtract lowest pixel value
    IterableInterval<T> dataII = Views.iterable(croppedRAI);
    double min = ops.stats().min(dataII).getRealDouble();
    Cursor<T> dataCursor = dataII.cursor();
    while (dataCursor.hasNext()) {
        double val = dataCursor.next().getRealDouble();
        dataCursor.get().setReal(val - min);
    }
    // Perform Gaussian blur
    RandomAccessibleInterval<T> blurredRAI = ops.filter().gauss(croppedRAI, 2);
    IterableInterval<T> blurredII = Views.iterable(blurredRAI);
    // Segment slice by threshold and fill holes
    IterableInterval<BitType> thresholded = ops.threshold().huang(blurredII);
    Img<BitType> thresholdedImg = ops.convert().bit(thresholded);
    RandomAccessibleInterval<BitType> thresholdedRAI = ops.morphology().fillHoles(thresholdedImg);
    // Get the largest region
    RandomAccessibleInterval<LabelingType<ByteType>> labeling = ops.labeling().cca(thresholdedRAI, ConnectedComponents.StructuringElement.EIGHT_CONNECTED);
    LabelRegions<ByteType> labelRegions = new LabelRegions<>(labeling);
    Iterator<LabelRegion<ByteType>> iterator = labelRegions.iterator();
    LabelRegion<ByteType> maxRegion = iterator.next();
    while (iterator.hasNext()) {
        LabelRegion<ByteType> currRegion = iterator.next();
        if (currRegion.size() > maxRegion.size()) {
            maxRegion = currRegion;
        }
    }
    // Generate z index map
    double iMax = ops.stats().max(dataII).getRealDouble();
    Img<UnsignedShortType> dataImg = ops.convert().uint16(dataII);
    Img<UnsignedShortType> zMap = ops.convert().uint16(ops.create().img(dataII));
    LabelRegionCursor cursor = maxRegion.localizingCursor();
    RandomAccess<UnsignedShortType> zMapRA = zMap.randomAccess();
    RandomAccess<UnsignedShortType> dataRA = dataImg.randomAccess();
    while (cursor.hasNext()) {
        cursor.fwd();
        zMapRA.setPosition(cursor);
        dataRA.setPosition(cursor);
        double val = dataRA.get().getRealDouble();
        // Log of 0 is undefined
        if (val < 1) {
            val = 1;
        }
        int z = (int) Math.round(-d * Math.log(val / iMax) / zRes);
        zMapRA.get().set(z);
    }
    System.out.println("6");
    // Use map to construct 3D geometry
    // Add 5 slices of padding on top
    int maxZ = (int) ops.stats().max(zMap).getRealDouble() + 5;
    long[] resultDimensions = { maxX + 1, maxY + 1, maxZ };
    Img<BitType> result = new ArrayImgFactory<BitType>().create(resultDimensions, new BitType());
    RandomAccess<BitType> resultRA = result.randomAccess();
    System.out.println(maxZ);
    cursor.reset();
    while (cursor.hasNext()) {
        cursor.fwd();
        zMapRA.setPosition(cursor);
        int zIndex = zMapRA.get().get();
        int[] position = { cursor.getIntPosition(0), cursor.getIntPosition(1), zIndex };
        while (position[2] < maxZ) {
            resultRA.setPosition(position);
            resultRA.get().set(true);
            position[2]++;
        }
    }
    output = datasetService.create(result);
    CalibratedAxis[] axes = new DefaultLinearAxis[] { new DefaultLinearAxis(Axes.X), new DefaultLinearAxis(Axes.Y), new DefaultLinearAxis(Axes.Z) };
    output.setAxes(axes);
    System.out.println("Done constructing geometry");
}
Also used : ByteType(net.imglib2.type.numeric.integer.ByteType) DefaultLinearAxis(net.imagej.axis.DefaultLinearAxis) BitType(net.imglib2.type.logic.BitType) LabelRegionCursor(net.imglib2.roi.labeling.LabelRegionCursor) LabelingType(net.imglib2.roi.labeling.LabelingType) UnsignedShortType(net.imglib2.type.numeric.integer.UnsignedShortType) LabelRegion(net.imglib2.roi.labeling.LabelRegion) CalibratedAxis(net.imagej.axis.CalibratedAxis) LabelRegions(net.imglib2.roi.labeling.LabelRegions) RandomAccessibleInterval(net.imglib2.RandomAccessibleInterval) Interval(net.imglib2.Interval) IterableInterval(net.imglib2.IterableInterval)

Aggregations

DefaultLinearAxis (net.imagej.axis.DefaultLinearAxis)2 CalibratedAxis (net.imagej.axis.CalibratedAxis)1 Interval (net.imglib2.Interval)1 IterableInterval (net.imglib2.IterableInterval)1 RandomAccessibleInterval (net.imglib2.RandomAccessibleInterval)1 LabelRegion (net.imglib2.roi.labeling.LabelRegion)1 LabelRegionCursor (net.imglib2.roi.labeling.LabelRegionCursor)1 LabelRegions (net.imglib2.roi.labeling.LabelRegions)1 LabelingType (net.imglib2.roi.labeling.LabelingType)1 BitType (net.imglib2.type.logic.BitType)1 ByteType (net.imglib2.type.numeric.integer.ByteType)1 UnsignedShortType (net.imglib2.type.numeric.integer.UnsignedShortType)1