Statistical analysis of molecule colocalization in bioimaging.
IF: 4.714
Cited by: 105


The quantitative analysis of molecule interactions in bioimaging is key for understanding the molecular orchestration of cellular processes and is generally achieved through the study of the spatial colocalization between the different populations of molecules. Colocalization methods are traditionally divided into pixel-based methods that measure global correlation coefficients from the overlap between pixel intensities in different color channels, and object-based methods that first segment molecule spots and then analyze their spatial distributions with second-order statistics. Here, we present a review of such colocalization methods and give a quantitative comparison of their relative merits in different types of biological applications and contexts. We show on synthetic and biological images that object-based methods are more robust statistically than pixel-based methods, and allow moreover to quantify accurately the number of colocalized molecules.


light microscopy
quantitative measurements
spatial statistics

MeSH terms

Computational Biology
Computer Simulation
Image Interpretation, Computer-Assisted
Image Processing, Computer-Assisted
Microscopy, Confocal
Microscopy, Fluorescence
Systems Biology


Lagache, Thibault
Sauvonnet, Nathalie
Danglot, Lydia
Olivo-Marin, Jean-Christophe

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