Examples with RealType net.imglib2.type.numeric.RealType used on opensource projects

Example 1 with RealType

use of net.imglib2.type.numeric.RealType in project vcell by virtualcell.

the class DeconstructGeometryCommand method run.

@Override
public void run() {
    // Crop to get a z-stack over time (remove channel dimension)
    long maxX = fluorData.max(fluorData.dimensionIndex(Axes.X));
    long maxY = fluorData.max(fluorData.dimensionIndex(Axes.Y));
    long maxZ = fluorData.max(fluorData.dimensionIndex(Axes.Z));
    long maxTime = fluorData.max(fluorData.dimensionIndex(Axes.TIME));
    Img fluorImg = fluorData.getImgPlus().getImg();
    FinalInterval intervals = Intervals.createMinMax(0, 0, 0, 0, 0, maxX, maxY, maxZ, 0, maxTime);
    RandomAccessibleInterval fluorImgCropped = ops.transform().crop(fluorImg, intervals, true);
    // Calculate scale factors
    double[] scaleFactors = { 1, 1, 1, 1 };
    for (int i = 0; i < geomData.numDimensions(); i++) {
        scaleFactors[i] = geomData.dimension(i) / (double) fluorImgCropped.dimension(i);
    }
    // Scale the fluorescence dataset to match the geometry
    NLinearInterpolatorFactory interpolatorFactory = new NLinearInterpolatorFactory();
    RandomAccessibleInterval fluorScaled = ops.transform().scale(fluorImgCropped, scaleFactors, interpolatorFactory);
    // Crop out the first slice of each z-stack in time series
    intervals = Intervals.createMinMax(0, 0, 0, 0, fluorScaled.dimension(0) - 1, fluorScaled.dimension(1) - 1, 0, fluorScaled.dimension(3) - 1);
    IntervalView fluorXYT = (IntervalView) ops.transform().crop(fluorScaled, intervals, true);
    // Create a blank image of the same X-Y-Time dimensions
    long[] dimensions = { fluorXYT.dimension(0), fluorXYT.dimension(1), fluorXYT.dimension(2) };
    Img<DoubleType> result = ops.create().img(dimensions);
    // Calculate constant d in TIRF exponential decay function
    theta = theta * 2 * Math.PI / 360;
    double n1 = 1.52;
    double n2 = 1.38;
    double d = lambda * Math.pow((Math.pow(n1, 2) * Math.pow(Math.sin(theta), 2) - Math.pow(n2, 2)), -0.5) / (4 * Math.PI);
    // Iterate through each time point, using 3D geometry to generate 2D intensities
    Cursor<DoubleType> cursor = fluorXYT.localizingCursor();
    RandomAccess fluorRA = fluorScaled.randomAccess();
    RandomAccess<RealType<?>> geomRA = geomData.randomAccess();
    RandomAccess<DoubleType> resultRA = result.randomAccess();
    maxZ = geomData.dimension(2) - 1;
    while (cursor.hasNext()) {
        cursor.fwd();
        int[] positionXYZ = { cursor.getIntPosition(0), cursor.getIntPosition(1), (int) maxZ - 1 };
        int[] positionXYZT = { cursor.getIntPosition(0), cursor.getIntPosition(1), (int) maxZ - 1, cursor.getIntPosition(2) };
        resultRA.setPosition(cursor);
        geomRA.setPosition(positionXYZ);
        double sum = 0.0;
        while (positionXYZ[2] >= 0 && geomRA.get().getRealDouble() != 0.0) {
            fluorRA.setPosition(positionXYZT);
            geomRA.setPosition(positionXYZ);
            sum += geomRA.get().getRealDouble() * Math.exp(-zSpacing * positionXYZ[2] / d);
            positionXYZ[2]--;
        }
        resultRA.get().set(sum);
    }
    System.out.println("done");
    displayService.createDisplay(result);
}