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# Changes

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→Pixel intensity spatial correlation analysis

# '''Manders split coefficients.''' Proportional to the amount of fluorescence of the colocalizing pixels or voxels in each colour channel. You can get more details in [[Media:Manders.pdf|Manders et al.]] Values range from 0 to 1, expressing the fraction of intensity in a channel that is located in pixels where there is above zero (or threshold) intensity in the other colour channel.

These coefficients measure the amount or degree of colocalization, or rather correlation and co-occurrence respectively (but should not be expressed as % values, because that is not how they are defined). But if there is nothing to compare them to, what do they mean? A statistical significance test was derived by Costses to evaluate the probability that the measured value of Pearson's correlation, r between the two colour channels is significantly greater than values of r that would be calculated if there was only random overlap of the same information. This test is performed by randomly scrambling the blocks of pixels (instead of individual pixels, because each pixel's intensity is correlated with its neighboring pixels) in one image, and then measuring the correlation of this image with the other (unscrambled) image. You can get more details in [[Media:Costes etalColoc.pdf|Costes et al.]] The result of this tests tell us if the Pearsons r and split Manders' ~~coefficient ~~coefficients we measure are better than pure chance or not.

Other coefficients include ranked correlations such as Spearman and Kendal's Tau, %overlap of intensities or area (volume).

Some others are described in the literature that have been used in publications, but that have been refuted as insensetive, such as the overalp coefficient from the Manders paper, which [[Media:Adler_et_al-2010-Cytometry_Part_A.pdf|J. Adler et al.]] showed to ~~be not very useful compare ~~have large problems in interpretation compared to Pearson's r and ~~Mander ~~Manders' split coefficients.

Other methods include ICCS (image cross correlation spectroscopy) and a derivative of that called PPI (protein proximity index. Maybe someone wants to add PPI to the Coloc_2 plugin? [[Media:Wu2010-crosscorrelationPPI_Coloc.pdf|original article here]]