Package | Description |
---|---|
sc.fiji.coloc | |
sc.fiji.coloc.algorithms | |
sc.fiji.coloc.gadgets |
Modifier and Type | Method and Description |
---|---|
protected void |
Coloc_2.addIfValid(Algorithm<T> a,
List<Algorithm<T>> list)
Adds the provided Algorithm to the list if it is not null.
|
Modifier and Type | Method and Description |
---|---|
protected void |
Coloc_2.addIfValid(Algorithm<T> a,
List<Algorithm<T>> list)
Adds the provided Algorithm to the list if it is not null.
|
Modifier and Type | Class and Description |
---|---|
class |
AutoThresholdRegression<T extends RealType<T>>
A class implementing the automatic finding of a threshold
used for Pearson colocalisation calculation.
|
class |
CostesSignificanceTest<T extends RealType<T> & NativeType<T>> |
class |
Histogram2D<T extends RealType<T>>
Represents the creation of a 2D histogram between two images.
|
class |
InputCheck<T extends RealType<T>>
This class implements some basic checks for the input image data.
|
class |
KendallTauRankCorrelation<T extends RealType<T>>
This algorithm calculates Kendall's Tau-b rank correlation coefficient
|
class |
LiHistogram2D<T extends RealType<T>>
Represents the creation of a 2D histogram between two images.
|
class |
LiICQ<T extends RealType<T>>
This algorithm calculates Li et al.'s ICQ (intensity
correlation quotient).
|
class |
MandersColocalization<T extends RealType<T>>
This algorithm calculates Manders et al.'s split colocalization
coefficients, M1 and M2.
|
class |
PearsonsCorrelation<T extends RealType<T>>
A class that represents the mean calculation of the two source
images in the data container.
|
class |
SpearmanRankCorrelation<T extends RealType<T>>
This algorithm calculates Spearman's rank correlation coefficient (Spearman's rho)
|
Modifier and Type | Method and Description |
---|---|
Algorithm<T> |
DataContainer.setAutoThreshold(AutoThresholdRegression<T> autoThreshold) |
Algorithm<T> |
DataContainer.setInputCheck(InputCheck<T> inputCheck) |
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