use of ome.xml.model.primitives.NonNegativeInteger in project bioformats by openmicroscopy.
the class ScanrReader method initFile.
// -- Internal FormatReader API methods --
/* @see loci.formats.FormatReader#initFile(String) */
@Override
protected void initFile(String id) throws FormatException, IOException {
super.initFile(id);
if (metadataFiles.size() > 0) {
// this dataset has already been initialized
return;
}
// make sure we have the .xml file
if (!checkSuffix(id, "xml") && isGroupFiles()) {
Location parent = new Location(id).getAbsoluteFile().getParentFile();
if (checkSuffix(id, "tif") && parent.getName().equalsIgnoreCase("Data")) {
parent = parent.getParentFile();
}
String[] list = parent.list();
for (String file : list) {
if (file.equals(XML_FILE)) {
id = new Location(parent, file).getAbsolutePath();
super.initFile(id);
break;
}
}
if (!checkSuffix(id, "xml")) {
throw new FormatException("Could not find " + XML_FILE + " in " + parent.getAbsolutePath());
}
} else if (!isGroupFiles() && checkSuffix(id, "tif")) {
TiffReader r = new TiffReader();
r.setMetadataStore(getMetadataStore());
r.setId(id);
core = new ArrayList<CoreMetadata>(r.getCoreMetadataList());
metadataStore = r.getMetadataStore();
final Map<String, Object> globalMetadata = r.getGlobalMetadata();
for (final Map.Entry<String, Object> entry : globalMetadata.entrySet()) {
addGlobalMeta(entry.getKey(), entry.getValue());
}
r.close();
tiffs = new String[] { id };
reader = new MinimalTiffReader();
return;
}
Location dir = new Location(id).getAbsoluteFile().getParentFile();
String[] list = dir.list(true);
for (String file : list) {
Location f = new Location(dir, file);
if (checkSuffix(file, METADATA_SUFFIXES) && !f.isDirectory()) {
metadataFiles.add(f.getAbsolutePath());
}
}
// parse XML metadata
String xml = DataTools.readFile(id).trim();
if (xml.startsWith("<?")) {
xml = xml.substring(xml.indexOf("?>") + 2);
}
xml = "<?xml version=\"1.0\" encoding=\"ISO-8859-1\"?>" + xml;
XMLTools.parseXML(xml, new ScanrHandler());
final List<String> uniqueRows = new ArrayList<String>();
final List<String> uniqueColumns = new ArrayList<String>();
if (wellRows == 0 || wellColumns == 0) {
for (String well : wellLabels.keySet()) {
if (!Character.isLetter(well.charAt(0)))
continue;
String row = well.substring(0, 1).trim();
String column = well.substring(1).trim();
if (!uniqueRows.contains(row) && row.length() > 0)
uniqueRows.add(row);
if (!uniqueColumns.contains(column) && column.length() > 0) {
uniqueColumns.add(column);
}
}
wellRows = uniqueRows.size();
wellColumns = uniqueColumns.size();
if (wellRows * wellColumns != wellCount) {
adjustWellDimensions();
}
}
int nChannels = getSizeC() == 0 ? channelNames.size() : (int) Math.min(channelNames.size(), getSizeC());
if (nChannels == 0)
nChannels = 1;
int nSlices = getSizeZ() == 0 ? 1 : getSizeZ();
int nTimepoints = getSizeT();
int nWells = wellCount;
int nPos = 0;
if (foundPositions)
nPos = fieldPositionX.length;
else
nPos = fieldRows * fieldColumns;
if (nPos == 0)
nPos = 1;
// get list of TIFF files
Location dataDir = new Location(dir, "data");
list = dataDir.list(true);
if (list == null) {
// try to find the TIFFs in the current directory
list = dir.list(true);
} else
dir = dataDir;
if (nTimepoints == 0 || list.length < nTimepoints * nChannels * nSlices * nWells * nPos) {
nTimepoints = list.length / (nChannels * nWells * nPos * nSlices);
if (nTimepoints == 0)
nTimepoints = 1;
}
tiffs = new String[nChannels * nWells * nPos * nTimepoints * nSlices];
Arrays.sort(list, new Comparator<String>() {
@Override
public int compare(String s1, String s2) {
int lastSeparator1 = s1.lastIndexOf(File.separator) + 1;
int lastSeparator2 = s2.lastIndexOf(File.separator) + 1;
String dir1 = s1.substring(0, lastSeparator1);
String dir2 = s2.substring(0, lastSeparator2);
if (!dir1.equals(dir2)) {
return dir1.compareTo(dir2);
}
int dash1 = s1.indexOf("-", lastSeparator1);
int dash2 = s2.indexOf("-", lastSeparator2);
String label1 = dash1 < 0 ? "" : s1.substring(lastSeparator1, dash1);
String label2 = dash2 < 0 ? "" : s2.substring(lastSeparator2, dash2);
if (label1.equals(label2)) {
String remainder1 = dash1 < 0 ? s1 : s1.substring(dash1);
String remainder2 = dash2 < 0 ? s2 : s2.substring(dash2);
return remainder1.compareTo(remainder2);
}
Integer index1 = wellLabels.get(label1);
Integer index2 = wellLabels.get(label2);
if (index1 == null && index2 != null) {
return 1;
} else if (index1 != null && index2 == null) {
return -1;
}
return index1.compareTo(index2);
}
});
int lastListIndex = 0;
int next = 0;
String[] keys = wellLabels.keySet().toArray(new String[wellLabels.size()]);
Arrays.sort(keys, new Comparator<String>() {
@Override
public int compare(String s1, String s2) {
char row1 = s1.charAt(0);
char row2 = s2.charAt(0);
final Integer col1 = new Integer(s1.substring(1));
final Integer col2 = new Integer(s2.substring(1));
if (row1 < row2) {
return -1;
} else if (row1 > row2) {
return 1;
}
return col1.compareTo(col2);
}
});
int realPosCount = 0;
for (int well = 0; well < nWells; well++) {
int missingWellFiles = 0;
int wellIndex = wellNumbers.get(well);
String wellPos = getBlock(wellIndex, "W");
int originalIndex = next;
for (int pos = 0; pos < nPos; pos++) {
String posPos = getBlock(pos + 1, "P");
int posIndex = next;
for (int z = 0; z < nSlices; z++) {
String zPos = getBlock(z, "Z");
for (int t = 0; t < nTimepoints; t++) {
String tPos = getBlock(t, "T");
for (int c = 0; c < nChannels; c++) {
for (int i = lastListIndex; i < list.length; i++) {
String file = list[i];
if (file.indexOf(wellPos) != -1 && file.indexOf(zPos) != -1 && file.indexOf(posPos) != -1 && file.indexOf(tPos) != -1 && file.indexOf(channelNames.get(c)) != -1) {
tiffs[next++] = new Location(dir, file).getAbsolutePath();
if (c == nChannels - 1) {
lastListIndex = i;
}
break;
}
}
if (next == originalIndex) {
missingWellFiles++;
}
}
}
}
if (posIndex != next)
realPosCount++;
}
if (next == originalIndex && well < keys.length) {
wellLabels.remove(keys[well]);
}
if (next == originalIndex && missingWellFiles == nSlices * nTimepoints * nChannels * nPos) {
wellNumbers.remove(well);
}
}
nWells = wellNumbers.size();
if (wellLabels.size() > 0 && wellLabels.size() != nWells) {
uniqueRows.clear();
uniqueColumns.clear();
for (String well : wellLabels.keySet()) {
if (!Character.isLetter(well.charAt(0)))
continue;
String row = well.substring(0, 1).trim();
String column = well.substring(1).trim();
if (!uniqueRows.contains(row) && row.length() > 0)
uniqueRows.add(row);
if (!uniqueColumns.contains(column) && column.length() > 0) {
uniqueColumns.add(column);
}
}
nWells = uniqueRows.size() * uniqueColumns.size();
adjustWellDimensions();
}
if (realPosCount < nPos) {
nPos = realPosCount;
}
reader = new MinimalTiffReader();
reader.setId(tiffs[0]);
int sizeX = reader.getSizeX();
int sizeY = reader.getSizeY();
int pixelType = reader.getPixelType();
tileWidth = reader.getOptimalTileWidth();
tileHeight = reader.getOptimalTileHeight();
switch(pixelType) {
case FormatTools.INT8:
pixelType = FormatTools.UINT8;
break;
case FormatTools.INT16:
pixelType = FormatTools.UINT16;
break;
}
boolean rgb = reader.isRGB();
boolean interleaved = reader.isInterleaved();
boolean indexed = reader.isIndexed();
boolean littleEndian = reader.isLittleEndian();
reader.close();
int seriesCount = nWells * nPos;
core.clear();
for (int i = 0; i < seriesCount; i++) {
CoreMetadata ms = new CoreMetadata();
core.add(ms);
ms.sizeC = nChannels;
ms.sizeZ = nSlices;
ms.sizeT = nTimepoints;
ms.sizeX = sizeX;
ms.sizeY = sizeY;
ms.pixelType = pixelType;
ms.rgb = rgb;
ms.interleaved = interleaved;
ms.indexed = indexed;
ms.littleEndian = littleEndian;
ms.dimensionOrder = "XYCTZ";
ms.imageCount = nSlices * nTimepoints * nChannels;
ms.bitsPerPixel = 12;
}
MetadataStore store = makeFilterMetadata();
MetadataTools.populatePixels(store, this);
store.setPlateID(MetadataTools.createLSID("Plate", 0), 0);
store.setPlateColumns(new PositiveInteger(wellColumns), 0);
store.setPlateRows(new PositiveInteger(wellRows), 0);
String plateAcqID = MetadataTools.createLSID("PlateAcquisition", 0, 0);
store.setPlateAcquisitionID(plateAcqID, 0, 0);
int nFields = 0;
if (foundPositions) {
nFields = fieldPositionX.length;
} else {
nFields = fieldRows * fieldColumns;
}
PositiveInteger fieldCount = FormatTools.getMaxFieldCount(nFields);
if (fieldCount != null) {
store.setPlateAcquisitionMaximumFieldCount(fieldCount, 0, 0);
}
for (int i = 0; i < getSeriesCount(); i++) {
int field = i % nFields;
int well = i / nFields;
int index = well;
while (wellNumbers.get(index) == null && index < wellNumbers.size()) {
index++;
}
int wellIndex = wellNumbers.get(index) == null ? index : wellNumbers.get(index) - 1;
int wellRow = wellIndex / wellColumns;
int wellCol = wellIndex % wellColumns;
if (field == 0) {
store.setWellID(MetadataTools.createLSID("Well", 0, well), 0, well);
store.setWellColumn(new NonNegativeInteger(wellCol), 0, well);
store.setWellRow(new NonNegativeInteger(wellRow), 0, well);
}
String wellSample = MetadataTools.createLSID("WellSample", 0, well, field);
store.setWellSampleID(wellSample, 0, well, field);
store.setWellSampleIndex(new NonNegativeInteger(i), 0, well, field);
String imageID = MetadataTools.createLSID("Image", i);
store.setWellSampleImageRef(imageID, 0, well, field);
store.setImageID(imageID, i);
String name = "Well " + (well + 1) + ", Field " + (field + 1) + " (Spot " + (i + 1) + ")";
store.setImageName(name, i);
store.setPlateAcquisitionWellSampleRef(wellSample, 0, 0, i);
}
if (getMetadataOptions().getMetadataLevel() != MetadataLevel.MINIMUM) {
for (int i = 0; i < getSeriesCount(); i++) {
for (int c = 0; c < getSizeC(); c++) {
store.setChannelName(channelNames.get(c), i, c);
}
Length x = FormatTools.getPhysicalSizeX(pixelSize);
Length y = FormatTools.getPhysicalSizeY(pixelSize);
if (x != null) {
store.setPixelsPhysicalSizeX(x, i);
}
if (y != null) {
store.setPixelsPhysicalSizeY(y, i);
}
if (fieldPositionX != null && fieldPositionY != null) {
int field = i % nFields;
int well = i / nFields;
final Length posX = fieldPositionX[field];
final Length posY = fieldPositionY[field];
store.setWellSamplePositionX(posX, 0, well, field);
store.setWellSamplePositionY(posY, 0, well, field);
for (int c = 0; c < getSizeC(); c++) {
int image = getIndex(0, c, 0);
store.setPlaneTheZ(new NonNegativeInteger(0), i, image);
store.setPlaneTheC(new NonNegativeInteger(c), i, image);
store.setPlaneTheT(new NonNegativeInteger(0), i, image);
store.setPlanePositionX(fieldPositionX[field], i, image);
store.setPlanePositionY(fieldPositionY[field], i, image);
// exposure time is stored in milliseconds
// convert to seconds before populating MetadataStore
Double time = exposures.get(c);
if (time != null) {
time /= 1000;
store.setPlaneExposureTime(new Time(time, UNITS.SECOND), i, image);
}
if (deltaT != null) {
store.setPlaneDeltaT(new Time(deltaT, UNITS.SECOND), i, image);
}
}
}
}
String row = wellRows > 26 ? "Number" : "Letter";
String col = wellRows > 26 ? "Letter" : "Number";
store.setPlateRowNamingConvention(getNamingConvention(row), 0);
store.setPlateColumnNamingConvention(getNamingConvention(col), 0);
store.setPlateName(plateName, 0);
}
}
use of ome.xml.model.primitives.NonNegativeInteger in project bioformats by openmicroscopy.
the class ObjectBasedOMEModelMock method makePlate.
private Plate makePlate() {
Plate plate = new Plate();
plate.setID(InOutCurrentTest.PLATE_ID);
plate.setRows(InOutCurrentTest.WELL_ROWS);
plate.setColumns(InOutCurrentTest.WELL_COLS);
plate.setRowNamingConvention(InOutCurrentTest.WELL_ROW);
plate.setColumnNamingConvention(InOutCurrentTest.WELL_COL);
TimestampAnnotation plateAnnotation = new TimestampAnnotation();
plateAnnotation.setID(InOutCurrentTest.PLATE_ANNOTATION_ID);
plateAnnotation.setValue(new Timestamp(InOutCurrentTest.PLATE_ANNOTATION_VALUE));
plateAnnotation.setNamespace(InOutCurrentTest.GENERAL_ANNOTATION_NAMESPACE);
plate.linkAnnotation(plateAnnotation);
annotations.addTimestampAnnotation(plateAnnotation);
int wellSampleIndex = 0;
for (int row = 0; row < InOutCurrentTest.WELL_ROWS.getValue(); row++) {
for (int col = 0; col < InOutCurrentTest.WELL_COLS.getValue(); col++) {
Well well = new Well();
well.setID(String.format("Well:%d_%d", row, col));
well.setRow(new NonNegativeInteger(row));
well.setColumn(new NonNegativeInteger(col));
if (row == 0 && col == 0) {
LongAnnotation annotation = new LongAnnotation();
annotation.setID(InOutCurrentTest.WELL_ANNOTATION_ID);
annotation.setValue(InOutCurrentTest.WELL_ANNOTATION_VALUE);
annotation.setNamespace(InOutCurrentTest.GENERAL_ANNOTATION_NAMESPACE);
well.linkAnnotation(annotation);
annotations.addLongAnnotation(annotation);
}
WellSample sample = new WellSample();
sample.setID(String.format("WellSample:%d_%d", row, col));
sample.setIndex(new NonNegativeInteger(wellSampleIndex));
sample.linkImage(ome.getImage(0));
well.addWellSample(sample);
plate.addWell(well);
wellSampleIndex++;
}
}
return plate;
}
use of ome.xml.model.primitives.NonNegativeInteger in project bioformats by openmicroscopy.
the class ColumbusReader method initFile.
// -- Internal FormatReader API methods --
/* @see loci.formats.FormatReader#initFile(String) */
protected void initFile(String id) throws FormatException, IOException {
Location xml = findXML(id);
if (null == xml) {
throw new FormatException("Could not find " + XML_FILE);
}
id = xml.getAbsolutePath();
super.initFile(id);
Location parent = new Location(currentId).getAbsoluteFile().getParentFile();
// parse plate layout and image dimensions from the XML files
String xmlData = DataTools.readFile(id);
MeasurementHandler handler = new MeasurementHandler();
XMLTools.parseXML(xmlData, handler);
String[] parentDirectories = parent.list(true);
Arrays.sort(parentDirectories);
ArrayList<String> timepointDirs = new ArrayList<String>();
for (String file : parentDirectories) {
Location absFile = new Location(parent, file);
if (absFile.isDirectory()) {
timepointDirs.add(absFile.getAbsolutePath());
for (String f : absFile.list(true)) {
if (!checkSuffix(f, "tif")) {
if (!metadataFiles.contains(file + File.separator + f)) {
metadataFiles.add(file + File.separator + f);
}
}
}
}
}
for (int i = 0; i < metadataFiles.size(); i++) {
String metadataFile = metadataFiles.get(i);
int end = metadataFile.indexOf(File.separator);
String timepointPath = end < 0 ? "" : parent + File.separator + metadataFile.substring(0, end);
Location f = new Location(parent + File.separator + metadataFile);
if (!f.exists()) {
metadataFile = metadataFile.substring(end + 1);
f = new Location(parent, metadataFile);
}
String path = f.getAbsolutePath();
metadataFiles.set(i, path);
if (checkSuffix(path, "columbusidx.xml")) {
int timepoint = timepointDirs.indexOf(timepointPath);
if (timepointDirs.size() == 0) {
timepoint = 0;
}
parseImageXML(path, timepoint);
}
}
// process plane list to determine plate size
Comparator<Plane> planeComp = new Comparator<Plane>() {
public int compare(Plane p1, Plane p2) {
if (p1.row != p2.row) {
return p1.row - p2.row;
}
if (p1.col != p2.col) {
return p1.col - p2.col;
}
if (p1.field != p2.field) {
return p1.field - p2.field;
}
if (p1.timepoint != p2.timepoint) {
return p1.timepoint - p2.timepoint;
}
if (p1.channel != p2.channel) {
return p1.channel - p2.channel;
}
return 0;
}
};
Plane[] tmpPlanes = planes.toArray(new Plane[planes.size()]);
Arrays.sort(tmpPlanes, planeComp);
planes.clear();
reader = new MinimalTiffReader();
reader.setId(tmpPlanes[0].file);
core = reader.getCoreMetadataList();
CoreMetadata m = core.get(0);
m.sizeC = 0;
m.sizeT = 0;
ArrayList<Integer> uniqueSamples = new ArrayList<Integer>();
ArrayList<Integer> uniqueRows = new ArrayList<Integer>();
ArrayList<Integer> uniqueCols = new ArrayList<Integer>();
for (Plane p : tmpPlanes) {
planes.add(p);
int sampleIndex = p.row * handler.getPlateColumns() + p.col;
if (!uniqueSamples.contains(sampleIndex)) {
uniqueSamples.add(sampleIndex);
}
if (!uniqueRows.contains(p.row)) {
uniqueRows.add(p.row);
}
if (!uniqueCols.contains(p.col)) {
uniqueCols.add(p.col);
}
// counts are assumed to be non-sparse
if (p.field >= nFields) {
nFields = p.field + 1;
}
if (p.channel >= getSizeC()) {
m.sizeC = p.channel + 1;
}
if (p.timepoint >= getSizeT()) {
m.sizeT = p.timepoint + 1;
}
}
m.sizeZ = 1;
m.imageCount = getSizeZ() * getSizeC() * getSizeT();
m.dimensionOrder = "XYCTZ";
m.rgb = false;
int seriesCount = uniqueSamples.size() * nFields;
for (int i = 1; i < seriesCount; i++) {
core.add(m);
}
// populate the MetadataStore
MetadataStore store = makeFilterMetadata();
MetadataTools.populatePixels(store, this, true);
store.setScreenID(MetadataTools.createLSID("Screen", 0), 0);
store.setScreenName(handler.getScreenName(), 0);
store.setPlateID(MetadataTools.createLSID("Plate", 0), 0);
store.setPlateName(handler.getPlateName(), 0);
store.setPlateRows(new PositiveInteger(handler.getPlateRows()), 0);
store.setPlateColumns(new PositiveInteger(handler.getPlateColumns()), 0);
String imagePrefix = handler.getPlateName() + " Well ";
int wellSample = 0;
int nextWell = -1;
Timestamp date = new Timestamp(acquisitionDate);
long timestampSeconds = date.asInstant().getMillis() / 1000;
for (Integer row : uniqueRows) {
for (Integer col : uniqueCols) {
if (!uniqueSamples.contains(row * handler.getPlateColumns() + col)) {
continue;
}
nextWell++;
store.setWellID(MetadataTools.createLSID("Well", 0, nextWell), 0, nextWell);
store.setWellRow(new NonNegativeInteger(row), 0, nextWell);
store.setWellColumn(new NonNegativeInteger(col), 0, nextWell);
for (int field = 0; field < nFields; field++) {
Plane p = lookupPlane(row, col, field, 0, 0);
String wellSampleID = MetadataTools.createLSID("WellSample", 0, nextWell, field);
store.setWellSampleID(wellSampleID, 0, nextWell, field);
store.setWellSampleIndex(new NonNegativeInteger(wellSample), 0, nextWell, field);
if (p != null) {
store.setWellSamplePositionX(new Length(p.positionX, UNITS.REFERENCEFRAME), 0, nextWell, field);
store.setWellSamplePositionY(new Length(p.positionY, UNITS.REFERENCEFRAME), 0, nextWell, field);
}
String imageID = MetadataTools.createLSID("Image", wellSample);
store.setImageID(imageID, wellSample);
store.setWellSampleImageRef(imageID, 0, nextWell, field);
store.setImageName(imagePrefix + (char) (row + 'A') + (col + 1) + " Field #" + (field + 1), wellSample);
store.setImageAcquisitionDate(date, wellSample);
if (p != null) {
p.series = wellSample;
store.setPixelsPhysicalSizeX(FormatTools.getPhysicalSizeX(p.sizeX), p.series);
store.setPixelsPhysicalSizeY(FormatTools.getPhysicalSizeY(p.sizeY), p.series);
for (int c = 0; c < getSizeC(); c++) {
p = lookupPlane(row, col, field, 0, c);
if (p != null) {
p.series = wellSample;
store.setChannelName(p.channelName, p.series, p.channel);
if ((int) p.emWavelength > 0) {
store.setChannelEmissionWavelength(FormatTools.getEmissionWavelength(p.emWavelength), p.series, p.channel);
}
if ((int) p.exWavelength > 0) {
store.setChannelExcitationWavelength(FormatTools.getExcitationWavelength(p.exWavelength), p.series, p.channel);
}
store.setChannelColor(p.channelColor, p.series, p.channel);
}
for (int t = 0; t < getSizeT(); t++) {
p = lookupPlane(row, col, field, t, c);
if (p != null) {
p.series = wellSample;
store.setPlaneDeltaT(new Time(p.deltaT - timestampSeconds, UNITS.SECOND), p.series, getIndex(0, c, t));
}
}
}
}
wellSample++;
}
}
}
}
use of ome.xml.model.primitives.NonNegativeInteger in project bioformats by openmicroscopy.
the class CellH5Reader method parseStructure.
private void parseStructure() throws FormatException {
seriesCount = 0;
core.clear();
// read experiment structure and collect coordinates
String path_to_plate = CellH5Constants.PREFIX_PATH + CellH5Constants.PLATE;
LOGGER.info("Plate :" + path_to_plate);
for (String plate : jhdf.getMember(path_to_plate)) {
String path_to_well = path_to_plate + plate + CellH5Constants.WELL;
LOGGER.info("Well :" + path_to_well);
for (String well : jhdf.getMember(path_to_well)) {
String path_to_site = path_to_well + well + CellH5Constants.SITE;
LOGGER.info("Site :" + path_to_site);
for (String site : jhdf.getMember(path_to_site)) {
CellH5PositionList.add(new CellH5Coordinate(plate, well, site));
}
}
}
if (CellH5PositionList.size() == 0) {
throw new FormatException("No series found in file...");
}
List<String> seriesNames = new ArrayList<String>();
List<String> seriesPlate = new ArrayList<String>();
List<String> seriesWell = new ArrayList<String>();
List<String> seriesSite = new ArrayList<String>();
for (CellH5Coordinate coord : CellH5PositionList) {
if (jhdf.exists(coord.pathToImageData)) {
CoreMetadata m = new CoreMetadata();
core.add(m);
setSeries(seriesCount);
LOGGER.debug(coord.pathToImageData);
int[] ctzyx = jhdf.getShape(coord.pathToImageData);
m.sizeC = ctzyx[0];
m.sizeT = ctzyx[1];
m.sizeZ = ctzyx[2];
m.sizeY = ctzyx[3];
m.sizeX = ctzyx[4];
m.resolutionCount = 1;
m.thumbnail = false;
m.imageCount = getSizeC() * getSizeT() * getSizeZ();
m.dimensionOrder = "XYZTC";
m.rgb = false;
m.thumbSizeX = 128;
m.thumbSizeY = 128;
m.orderCertain = false;
m.littleEndian = true;
m.interleaved = false;
m.indexed = true;
int bpp = jhdf.getElementSize(coord.pathToImageData);
if (bpp == 1) {
m.pixelType = FormatTools.UINT8;
} else if (bpp == 2) {
m.pixelType = FormatTools.UINT16;
} else if (bpp == 4) {
m.pixelType = FormatTools.INT32;
} else {
throw new FormatException("Pixel type not understood. Only 8, " + "16 and 32 bit images supported");
}
seriesNames.add(String.format("P_%s, W_%s_%s", coord.plate, coord.well, coord.site));
seriesPlate.add(coord.plate);
seriesWell.add(coord.well);
seriesSite.add(coord.site);
CellH5PathsToImageData.add(coord.pathToImageData);
seriesCount++;
}
}
for (CellH5Coordinate coord : CellH5PositionList) {
if (jhdf.exists(coord.pathToSegmentationData)) {
CoreMetadata m = new CoreMetadata();
core.add(m);
setSeries(seriesCount);
LOGGER.debug(coord.pathToSegmentationData);
int[] ctzyx = jhdf.getShape(coord.pathToSegmentationData);
m.sizeC = ctzyx[0];
m.sizeT = ctzyx[1];
m.sizeZ = ctzyx[2];
m.sizeY = ctzyx[3];
m.sizeX = ctzyx[4];
m.resolutionCount = 1;
m.thumbnail = false;
m.imageCount = getSizeC() * getSizeT() * getSizeZ();
m.dimensionOrder = "XYZTC";
m.rgb = false;
m.thumbSizeX = 128;
m.thumbSizeY = 128;
m.orderCertain = false;
m.littleEndian = true;
m.interleaved = false;
m.indexed = true;
int bpp = jhdf.getElementSize(coord.pathToSegmentationData);
if (bpp == 1) {
m.pixelType = FormatTools.UINT8;
} else if (bpp == 2) {
m.pixelType = FormatTools.UINT16;
} else if (bpp == 4) {
m.pixelType = FormatTools.INT32;
} else {
throw new FormatException("Pixel type not understood. Only 8, " + "16 and 32 bit images supported");
}
seriesNames.add(String.format("P_%s, W_%s_%s label image", coord.plate, coord.well, coord.site));
seriesPlate.add(coord.plate);
seriesWell.add(coord.well);
seriesSite.add(coord.site);
CellH5PathsToImageData.add(coord.pathToSegmentationData);
seriesCount++;
}
}
if (seriesCount == 0) {
throw new FormatException("No image data found...");
}
store = makeFilterMetadata();
MetadataTools.populatePixels(store, this);
for (int s = 0; s < seriesNames.size(); s++) {
String image_id = MetadataTools.createLSID("Image", s);
store.setImageName(seriesNames.get(s), s);
String plate_id = MetadataTools.createLSID("Plate", 0);
store.setPlateID(plate_id, 0);
store.setPlateName(seriesPlate.get(s), 0);
String well_id = MetadataTools.createLSID("Well", 0);
store.setWellID(well_id, 0, 0);
String cellh5WellCoord = seriesWell.get(s);
String wellRowLetter = cellh5WellCoord.substring(0, 1);
String wellColNumber = cellh5WellCoord.substring(1);
int wellRowLetterIndex = "ABCDEFGHIJKLMNOP".indexOf(wellRowLetter);
int wellColNumberIndex = -1;
try {
wellColNumberIndex = Integer.parseInt(wellColNumber);
} catch (NumberFormatException e) {
//
}
if (wellRowLetterIndex > -1 && wellColNumberIndex > 0) {
store.setWellRow(new NonNegativeInteger(wellRowLetterIndex), 0, 0);
store.setWellColumn(new NonNegativeInteger(wellColNumberIndex - 1), 0, 0);
} else {
store.setWellRow(new NonNegativeInteger(0), 0, 0);
store.setWellColumn(new NonNegativeInteger(0), 0, 0);
}
store.setWellExternalIdentifier(cellh5WellCoord, 0, 0);
String site_id = MetadataTools.createLSID("WellSample", 0);
store.setWellSampleID(site_id, 0, 0, 0);
store.setWellSampleIndex(NonNegativeInteger.valueOf(seriesSite.get(s)), 0, 0, 0);
store.setWellSampleImageRef(image_id, 0, 0, 0);
}
setSeries(0);
parseCellObjects();
}
use of ome.xml.model.primitives.NonNegativeInteger in project bioformats by openmicroscopy.
the class CellH5Reader method parseROIs.
private void parseROIs(int s) {
int objectIdx = 0;
List<Color> classColors = new ArrayList<Color>();
int roiIndexOffset = 0;
CellH5Coordinate coord = CellH5PositionList.get(0);
for (String cellObjectName : cellObjectNames) {
LOGGER.info("Parse segmentation ROIs for cell object {} : {}", cellObjectName, objectIdx);
String featureName = CellH5Constants.FEATURE + cellObjectName + "/";
String pathToBoundingBox = coord.pathToPosition + featureName + CellH5Constants.BBOX;
String pathToClassDefinition = CellH5Constants.DEFINITION + featureName + CellH5Constants.CLASS_LABELS;
boolean hasClassification = false;
if (jhdf.exists(pathToClassDefinition)) {
String classColorHexString;
HDF5CompoundDataMap[] classDef = jhdf.readCompoundArrayDataMap(pathToClassDefinition);
for (int cls = 0; cls < classDef.length; cls++) {
classColorHexString = (String) classDef[cls].get("color");
classColors.add(hex2Rgb(classColorHexString));
}
if (classDef.length > 0) {
hasClassification = true;
classes = jhdf.readCompoundArrayDataMap(coord.pathToPosition + featureName + CellH5Constants.PREDICTED_CLASS_LABELS);
}
}
if (jhdf.exists(pathToBoundingBox)) {
bbox = jhdf.readCompoundArrayDataMap(pathToBoundingBox);
times = jhdf.readCompoundArrayDataMap(coord.pathToPosition + CellH5Constants.OBJECT + cellObjectName);
int roiChannel = getChannelIndexOfCellObjectName(cellObjectName);
int roiZSlice = 0;
for (int roiIndex = 0; roiIndex < bbox.length; roiIndex++) {
int roiManagerRoiIndex = roiIndex + roiIndexOffset;
int roiTime = (Integer) times[roiIndex].get("time_idx");
int objectLabelId = (Integer) times[roiIndex].get("obj_label_id");
int left = (Integer) bbox[roiIndex].get("left");
int right = (Integer) bbox[roiIndex].get("right");
int top = (Integer) bbox[roiIndex].get("top");
int bottom = (Integer) bbox[roiIndex].get("bottom");
int width = right - left;
int height = bottom - top;
String roiID = MetadataTools.createLSID("ROI", roiManagerRoiIndex);
store.setROIID(roiID, roiManagerRoiIndex);
store.setImageROIRef(roiID, s, roiManagerRoiIndex);
store.setROIName(cellObjectName + " " + objectLabelId, roiManagerRoiIndex);
String shapeID = MetadataTools.createLSID("Shape", roiManagerRoiIndex, 0);
store.setRectangleID(shapeID, roiManagerRoiIndex, 0);
store.setRectangleX((double) left, roiManagerRoiIndex, 0);
store.setRectangleY((double) top, roiManagerRoiIndex, 0);
store.setRectangleWidth((double) width, roiManagerRoiIndex, 0);
store.setRectangleHeight((double) height, roiManagerRoiIndex, 0);
store.setRectangleText(cellObjectName, roiManagerRoiIndex, 0);
store.setRectangleTheT(new NonNegativeInteger(roiTime), roiManagerRoiIndex, 0);
store.setRectangleTheC(new NonNegativeInteger(roiChannel), roiManagerRoiIndex, 0);
store.setRectangleTheZ(new NonNegativeInteger(roiZSlice), roiManagerRoiIndex, 0);
Color strokeColor;
if (hasClassification) {
int classLabelIDx = (Integer) classes[roiIndex].get("label_idx");
strokeColor = classColors.get(classLabelIDx);
} else {
strokeColor = new Color(COLORS[objectIdx][0], COLORS[objectIdx][1], COLORS[objectIdx][2], 0xff);
}
store.setRectangleStrokeColor(strokeColor, roiManagerRoiIndex, 0);
}
objectIdx++;
roiIndexOffset += bbox.length;
} else {
LOGGER.info("No Segmentation data found...");
break;
}
}
}
Aggregations