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Example 1 with Mat5

use of us.hebi.matlab.mat.format.Mat5 in project GDSC-SMLM by aherbert.

the class TraceExporter method exportVbSpt.

@SuppressWarnings("resource")
private void exportVbSpt(MemoryPeakResults results) {
    // vbSPT file format:
    // https://sourceforge.net/projects/vbspt/
    // Matlab matrix file (.mat) containing at least one variable that is a cell
    // array where each element, representing a trajectory, is a matrix
    // where the rows define the coordinates in one, two or three dimensions
    // in subsequent timesteps. The number of dimensions to be used for the
    // analysis will be set by the runinputfile.
    // The units are arbitrary but vbSPT starting estimates must be in the same
    // units. Either nm or μm are recommended.
    // 3 columns for n rows of localisations
    // 1. x coordinate (μm)
    // 2. y coordinate (μm)
    // 3. z coordinate (μm)
    // 
    // Note: An extra column is added containing the frame. This allows results to
    // be uniquely identified using frame,x,y,z
    // Count the IDs. Each new result ID will increment the count.
    final FrameCounter idCounter = new FrameCounter(results.getFirst().getId() - 1);
    results.forEach((PeakResultProcedure) result -> {
        if (idCounter.advance(result.getId())) {
            idCounter.increment();
        }
    });
    // Create the cell array as 1xN
    final Cell out = Mat5.newCell(1, idCounter.getCount());
    // This will reset the counter to zero and ensure the current frame does not match
    // in the event of a single track
    idCounter.advanceAndReset(idCounter.currentFrame() + 1);
    final boolean is3d = results.is3D();
    // Write the tracks
    final LocalList<double[]> list = new LocalList<>();
    results.forEach(DistanceUnit.UM, (XyzrResultProcedure) (x, y, z, result) -> {
        if (idCounter.advance(result.getId())) {
            addTrack(out, idCounter.getCount() - 1, list, is3d);
            idCounter.increment();
            list.clear();
        }
        list.add(new double[] { x, y, z, result.getFrame() });
    });
    addTrack(out, idCounter.getCount() - 1, list, is3d);
    try (MatFile matFile = Mat5.newMatFile()) {
        matFile.addArray("tracks", out);
        Mat5.writeToFile(matFile, Paths.get(settings.directory, results.getName() + ".mat").toFile());
    } catch (final IOException ex) {
        handleException(ex);
    }
}
Also used : MemoryResultsList(uk.ac.sussex.gdsc.smlm.ij.plugins.ResultsManager.MemoryResultsList) Cell(us.hebi.matlab.mat.types.Cell) UnitConverterUtils(uk.ac.sussex.gdsc.smlm.data.config.UnitConverterUtils) IdFramePeakResultComparator(uk.ac.sussex.gdsc.smlm.results.sort.IdFramePeakResultComparator) FrameCounter(uk.ac.sussex.gdsc.smlm.results.count.FrameCounter) PeakResult(uk.ac.sussex.gdsc.smlm.results.PeakResult) MatFile(us.hebi.matlab.mat.types.MatFile) AtomicReference(java.util.concurrent.atomic.AtomicReference) Matrix(us.hebi.matlab.mat.types.Matrix) ArrayList(java.util.ArrayList) Level(java.util.logging.Level) MultiDialog(uk.ac.sussex.gdsc.core.ij.gui.MultiDialog) MemoryPeakResults(uk.ac.sussex.gdsc.smlm.results.MemoryPeakResults) PeakResultProcedure(uk.ac.sussex.gdsc.smlm.results.procedures.PeakResultProcedure) SettingsManager(uk.ac.sussex.gdsc.smlm.ij.settings.SettingsManager) XyrResultProcedure(uk.ac.sussex.gdsc.smlm.results.procedures.XyrResultProcedure) UniformRandomProvider(org.apache.commons.rng.UniformRandomProvider) Files(java.nio.file.Files) BufferedWriter(java.io.BufferedWriter) ExtendedGenericDialog(uk.ac.sussex.gdsc.core.ij.gui.ExtendedGenericDialog) IOException(java.io.IOException) NamedObject(uk.ac.sussex.gdsc.smlm.data.NamedObject) DistanceUnit(uk.ac.sussex.gdsc.smlm.data.config.UnitProtos.DistanceUnit) Logger(java.util.logging.Logger) SamplerUtils(uk.ac.sussex.gdsc.core.utils.rng.SamplerUtils) AttributePeakResult(uk.ac.sussex.gdsc.smlm.results.AttributePeakResult) TextUtils(uk.ac.sussex.gdsc.core.utils.TextUtils) Plot(ij.gui.Plot) TIntHashSet(gnu.trove.set.hash.TIntHashSet) TimeUnit(uk.ac.sussex.gdsc.smlm.data.config.UnitProtos.TimeUnit) XyzrResultProcedure(uk.ac.sussex.gdsc.smlm.results.procedures.XyzrResultProcedure) List(java.util.List) Counter(uk.ac.sussex.gdsc.smlm.results.count.Counter) Paths(java.nio.file.Paths) ImageJUtils(uk.ac.sussex.gdsc.core.ij.ImageJUtils) IJ(ij.IJ) SimpleArrayUtils(uk.ac.sussex.gdsc.core.utils.SimpleArrayUtils) Mat5(us.hebi.matlab.mat.format.Mat5) PlugIn(ij.plugin.PlugIn) NormalizedGaussianSampler(org.apache.commons.rng.sampling.distribution.NormalizedGaussianSampler) TypeConverter(uk.ac.sussex.gdsc.core.data.utils.TypeConverter) LocalList(uk.ac.sussex.gdsc.core.utils.LocalList) UniformRandomProviders(uk.ac.sussex.gdsc.core.utils.rng.UniformRandomProviders) LocalList(uk.ac.sussex.gdsc.core.utils.LocalList) MatFile(us.hebi.matlab.mat.types.MatFile) FrameCounter(uk.ac.sussex.gdsc.smlm.results.count.FrameCounter) IOException(java.io.IOException) Cell(us.hebi.matlab.mat.types.Cell)

Example 2 with Mat5

use of us.hebi.matlab.mat.format.Mat5 in project GDSC-SMLM by aherbert.

the class TraceExporter method exportAnaDda.

@SuppressWarnings("resource")
private void exportAnaDda(MemoryPeakResults results) {
    // anaDDA list of tracked localisations file format:
    // https://github.com/HohlbeinLab/anaDDA
    // Matlab matrix file.
    // 5 columns for n rows of localisations
    // 1. x coordinate (μm)
    // 2. y coordinate (μm)
    // 3. frame number
    // 4. track id
    // 5. frame time (s)
    // Count the number of localisations including start/end frames
    final Counter row = new Counter();
    results.forEach((PeakResultProcedure) result -> {
        row.increment(getLength(result));
    });
    // Create the matrix
    final int rows = row.getCount();
    final Matrix out = Mat5.newMatrix(rows, 5);
    // Set up column offsets
    final int col1 = rows * 1;
    final int col2 = rows * 2;
    final int col3 = rows * 3;
    final int col4 = rows * 4;
    // Frame time in seconds. This is not the frame time point converted to seconds
    // but the exposure duration of the frame.
    final double frameTime = results.getCalibrationReader().getExposureTime() / 1000;
    row.reset();
    results.forEach(DistanceUnit.UM, (XyrResultProcedure) (x, y, result) -> {
        if (result.hasEndFrame()) {
            for (int t = result.getFrame(); t <= result.getEndFrame(); t++) {
                final int index = row.getAndIncrement();
                out.setDouble(index, x);
                out.setDouble(index + col1, y);
                out.setDouble(index + col2, t);
                out.setDouble(index + col3, result.getId());
                out.setDouble(index + col4, frameTime);
            }
        } else {
            // Column major index: row + rows * col
            final int index = row.getAndIncrement();
            out.setDouble(index, x);
            out.setDouble(index + col1, y);
            out.setDouble(index + col2, result.getFrame());
            out.setDouble(index + col3, result.getId());
            out.setDouble(index + col4, frameTime);
        }
    });
    try (MatFile matFile = Mat5.newMatFile()) {
        matFile.addArray("tracks", out);
        Mat5.writeToFile(matFile, Paths.get(settings.directory, results.getName() + ".mat").toFile());
    } catch (final IOException ex) {
        handleException(ex);
    }
}
Also used : MemoryResultsList(uk.ac.sussex.gdsc.smlm.ij.plugins.ResultsManager.MemoryResultsList) Cell(us.hebi.matlab.mat.types.Cell) UnitConverterUtils(uk.ac.sussex.gdsc.smlm.data.config.UnitConverterUtils) IdFramePeakResultComparator(uk.ac.sussex.gdsc.smlm.results.sort.IdFramePeakResultComparator) FrameCounter(uk.ac.sussex.gdsc.smlm.results.count.FrameCounter) PeakResult(uk.ac.sussex.gdsc.smlm.results.PeakResult) MatFile(us.hebi.matlab.mat.types.MatFile) AtomicReference(java.util.concurrent.atomic.AtomicReference) Matrix(us.hebi.matlab.mat.types.Matrix) ArrayList(java.util.ArrayList) Level(java.util.logging.Level) MultiDialog(uk.ac.sussex.gdsc.core.ij.gui.MultiDialog) MemoryPeakResults(uk.ac.sussex.gdsc.smlm.results.MemoryPeakResults) PeakResultProcedure(uk.ac.sussex.gdsc.smlm.results.procedures.PeakResultProcedure) SettingsManager(uk.ac.sussex.gdsc.smlm.ij.settings.SettingsManager) XyrResultProcedure(uk.ac.sussex.gdsc.smlm.results.procedures.XyrResultProcedure) UniformRandomProvider(org.apache.commons.rng.UniformRandomProvider) Files(java.nio.file.Files) BufferedWriter(java.io.BufferedWriter) ExtendedGenericDialog(uk.ac.sussex.gdsc.core.ij.gui.ExtendedGenericDialog) IOException(java.io.IOException) NamedObject(uk.ac.sussex.gdsc.smlm.data.NamedObject) DistanceUnit(uk.ac.sussex.gdsc.smlm.data.config.UnitProtos.DistanceUnit) Logger(java.util.logging.Logger) SamplerUtils(uk.ac.sussex.gdsc.core.utils.rng.SamplerUtils) AttributePeakResult(uk.ac.sussex.gdsc.smlm.results.AttributePeakResult) TextUtils(uk.ac.sussex.gdsc.core.utils.TextUtils) Plot(ij.gui.Plot) TIntHashSet(gnu.trove.set.hash.TIntHashSet) TimeUnit(uk.ac.sussex.gdsc.smlm.data.config.UnitProtos.TimeUnit) XyzrResultProcedure(uk.ac.sussex.gdsc.smlm.results.procedures.XyzrResultProcedure) List(java.util.List) Counter(uk.ac.sussex.gdsc.smlm.results.count.Counter) Paths(java.nio.file.Paths) ImageJUtils(uk.ac.sussex.gdsc.core.ij.ImageJUtils) IJ(ij.IJ) SimpleArrayUtils(uk.ac.sussex.gdsc.core.utils.SimpleArrayUtils) Mat5(us.hebi.matlab.mat.format.Mat5) PlugIn(ij.plugin.PlugIn) NormalizedGaussianSampler(org.apache.commons.rng.sampling.distribution.NormalizedGaussianSampler) TypeConverter(uk.ac.sussex.gdsc.core.data.utils.TypeConverter) LocalList(uk.ac.sussex.gdsc.core.utils.LocalList) UniformRandomProviders(uk.ac.sussex.gdsc.core.utils.rng.UniformRandomProviders) FrameCounter(uk.ac.sussex.gdsc.smlm.results.count.FrameCounter) Counter(uk.ac.sussex.gdsc.smlm.results.count.Counter) Matrix(us.hebi.matlab.mat.types.Matrix) MatFile(us.hebi.matlab.mat.types.MatFile) IOException(java.io.IOException)

Aggregations

TIntHashSet (gnu.trove.set.hash.TIntHashSet)2 IJ (ij.IJ)2 Plot (ij.gui.Plot)2 PlugIn (ij.plugin.PlugIn)2 BufferedWriter (java.io.BufferedWriter)2 IOException (java.io.IOException)2 Files (java.nio.file.Files)2 Paths (java.nio.file.Paths)2 ArrayList (java.util.ArrayList)2 List (java.util.List)2 AtomicReference (java.util.concurrent.atomic.AtomicReference)2 Level (java.util.logging.Level)2 Logger (java.util.logging.Logger)2 UniformRandomProvider (org.apache.commons.rng.UniformRandomProvider)2 NormalizedGaussianSampler (org.apache.commons.rng.sampling.distribution.NormalizedGaussianSampler)2 TypeConverter (uk.ac.sussex.gdsc.core.data.utils.TypeConverter)2 ImageJUtils (uk.ac.sussex.gdsc.core.ij.ImageJUtils)2 ExtendedGenericDialog (uk.ac.sussex.gdsc.core.ij.gui.ExtendedGenericDialog)2 MultiDialog (uk.ac.sussex.gdsc.core.ij.gui.MultiDialog)2 LocalList (uk.ac.sussex.gdsc.core.utils.LocalList)2