| Package | Description |
|---|---|
| sc.fiji.coloc.algorithms |
| Modifier and Type | Method and Description |
|---|---|
static <T extends RealType<T>> |
LiICQ.calculateLisICQ(TwinCursor<T> cursor,
double mean1,
double mean2)
Calculates Li et al.'s intensity correlation quotient (ICQ) for
two images.
|
MandersColocalization.MandersResults |
MandersColocalization.calculateMandersCorrelation(TwinCursor<T> cursor,
T type)
Calculates Manders' split coefficients, M1 and M2: without thresholds
|
MandersColocalization.MandersResults |
MandersColocalization.calculateMandersCorrelation(TwinCursor<T> cursor,
T thresholdCh1,
T thresholdCh2,
ThresholdMode tMode)
Calculates Manders' split coefficients, tM1 and tM2: with 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.
|
<T extends RealType<T>> |
SpearmanRankCorrelation.calculateSpearmanRank(TwinCursor<T> cursor)
Calculates Spearman's Rank Correlation Coefficient (Spearman's rho) for
two images.
|
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) |
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) |
| Constructor and Description |
|---|
Accumulator(TwinCursor<T> cursor)
The two values x and y from each cursor iteration to get
summed up as single values and their combinations.
|
Accumulator(TwinCursor<T> cursor,
boolean substract,
double xDiff,
double yDiff) |
Accumulator(TwinCursor<T> cursor,
double xDiff,
double yDiff)
The two values (x - xDiff) and (y - yDiff) from each cursor
iteration to get summed up as single values and their combinations.
|
SplitCoeffAccumulator(TwinCursor<T> cursor) |
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