Package | Description |
---|---|
sc.fiji.coloc | |
sc.fiji.coloc.algorithms | |
sc.fiji.coloc.gadgets |
Modifier and Type | Method and Description |
---|---|
void |
Coloc_2.colocalise(Img<T> image1,
Img<T> image2,
Coloc_2.BoundingBox roi,
Img<T> mask)
Call this method to run a whole colocalisation configuration, all selected
algorithms get run on the supplied images.
|
AnalysisResults<T> |
Coloc_2.colocalise(Img<T> image1,
Img<T> image2,
Coloc_2.BoundingBox roi,
Img<T> mask,
List<ResultHandler<T>> extraHandlers)
Call this method to run a whole colocalisation configuration, all selected
algorithms get run on the supplied images.
|
protected RandomAccessibleInterval<T> |
Coloc_2.createMaskImage(RandomAccessibleInterval<T> image,
RandomAccessibleInterval<BitType> mask,
long[] offset,
long[] size)
This method duplicates the given images, but respects ROIs if present.
|
Modifier and Type | Method and Description |
---|---|
<S extends RealType<S>> |
PearsonsCorrelation.calculatePearsons(RandomAccessibleInterval<S> img1,
RandomAccessibleInterval<S> img2)
Calculates Pearson's R value without any constraint in values, thus it uses no thresholds.
|
<S extends RealType<S>> |
PearsonsCorrelation.calculatePearsons(RandomAccessibleInterval<S> img1,
RandomAccessibleInterval<S> img2,
RandomAccessibleInterval<BitType> mask)
Calculates Pearson's R value without any constraint in values, thus it uses no
thresholds.
|
<S extends RealType<S>> |
PearsonsCorrelation.calculatePearsons(TwinCursor<S> cursor,
double mean1,
double mean2,
S thresholdCh1,
S thresholdCh2,
ThresholdMode tMode)
Calculates Pearson's R value with the possibility to constraint in values.
|
static <T extends RealType<T>> |
PearsonsCorrelation.classicPearsons(TwinCursor<T> cursor,
double meanCh1,
double meanCh2)
Calculates Person's R value by using a Classic implementation of the
algorithm.
|
static <T extends RealType<T>> |
PearsonsCorrelation.classicPearsons(TwinCursor<T> cursor,
double meanCh1,
double meanCh2,
T thresholdCh1,
T thresholdCh2,
ThresholdMode tMode) |
void |
SpearmanRankCorrelation.execute(DataContainer<T> container) |
void |
PearsonsCorrelation.execute(DataContainer<T> container) |
void |
MandersColocalization.execute(DataContainer<T> container) |
void |
LiICQ.execute(DataContainer<T> container) |
void |
LiHistogram2D.execute(DataContainer<T> container) |
void |
KendallTauRankCorrelation.execute(DataContainer<T> container) |
void |
InputCheck.execute(DataContainer<T> container) |
void |
Histogram2D.execute(DataContainer<T> container) |
void |
CostesSignificanceTest.execute(DataContainer<T> container)
Builds a list of blocks that represent the images.
|
void |
AutoThresholdRegression.execute(DataContainer<T> container) |
abstract void |
Algorithm.execute(DataContainer<T> container)
Executes the previously initialized
Algorithm . |
static <T extends RealType<T>> |
PearsonsCorrelation.fastPearsons(TwinCursor<T> cursor)
Calculates Person's R value by using a fast implementation of the
algorithm.
|
static <T extends RealType<T>> |
PearsonsCorrelation.fastPearsons(TwinCursor<T> cursor,
T thresholdCh1,
T thresholdCh2,
ThresholdMode tMode) |
protected void |
CostesSignificanceTest.generateBlocks(RandomAccessible<T> img,
List<IterableInterval<T>> blockList,
double[] offset,
double[] size)
This method drives the creation of RegionOfInterest-Cursors on the given image.
|
Modifier and Type | Method and Description |
---|---|
protected void |
DataContainer.adjustRoiOffset(long[] oldOffset,
long[] newOffset,
long[] dimensions)
Make sure that the ROI offset has the same dimensionality
as the image.
|
protected void |
DataContainer.adjustRoiSize(long[] oldSize,
long[] newSize,
long[] dimensions,
long[] offset)
Transforms a ROI size array to a dimensionality.
|
static RandomAccessibleInterval<BitType> |
MaskFactory.createMask(long[] dim,
long[] roiOffset,
long[] roiDim)
Create a new mask image with a defined size and preset content.
|
Constructor and Description |
---|
DataContainer(RandomAccessibleInterval<T> src1,
RandomAccessibleInterval<T> src2,
int ch1,
int ch2,
String name1,
String name2,
long[] offset,
long[] size)
Creates a new
DataContainer for a specific set of image and
channel combination. |
DataContainer(RandomAccessibleInterval<T> src1,
RandomAccessibleInterval<T> src2,
int ch1,
int ch2,
String name1,
String name2,
RandomAccessibleInterval<T> mask,
long[] offset,
long[] size)
Creates a new
DataContainer for a specific set of image and
channel combination. |
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