PYME.Analysis.Colocalisation.correlationCoeffs module

PYME.Analysis.Colocalisation.correlationCoeffs.fourier_ring_correlation(imA, imB, voxelsize=[1.0, 1.0], window=False)

PYME.Analysis.Colocalisation.correlationCoeffs.maskFractions(A, B, tA, tB)

PYME.Analysis.Colocalisation.correlationCoeffs.maskManders(A, B, mA, mB, roi_mask=None)

Manders, as practically used with threshold determined masks

like thresholdedManders, but we pass already thresholded masks in to start with

PYME.Analysis.Colocalisation.correlationCoeffs.mutual_information(X, Y, roi_mask=None, nbins=256, bits=False)

PYME.Analysis.Colocalisation.correlationCoeffs.overlap(X, Y, roi_mask=None)

PYME.Analysis.Colocalisation.correlationCoeffs.pearson(X, Y, roi_mask=None)

PYME.Analysis.Colocalisation.correlationCoeffs.thresholdedManders(A, B, tA, tB, roi_mask=None)

Manders, as practically used with threshold determined masks