Statistical analysis of molecule colocalization in bioimaging

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 traditional...

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Bibliographic Details
Published inCytometry. Part A Vol. 87; no. 6; pp. 568 - 579
Main Authors Lagache, Thibault, Sauvonnet, Nathalie, Danglot, Lydia, Olivo‐Marin, Jean‐Christophe
Format Journal Article
LanguageEnglish
Published United States Wiley 01.06.2015
Subjects
Algorithms
Biochemistry, Molecular Biology
Cellular Biology
colocalization
Computational Biology
Computational Biology - methods
Computer Simulation
endocytosis
Image Interpretation, Computer-Assisted
Image Interpretation, Computer-Assisted - methods
Image Processing, Computer-Assisted
Image Processing, Computer-Assisted - methods
Life Sciences
light microscopy
Microscopy, Confocal
Microscopy, Confocal - methods
Microscopy, Fluorescence
Microscopy, Fluorescence - methods
quantitative measurements
spatial statistics
Systems Biology
Systems Biology - methods
endocytosis
spatial statistics
colocalization
light microscopy
quantitative measurements
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Summary: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. © 2015 International Society for Advancement of Cytometry
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ISSN:1552-4922
1552-4930
1552-4930
DOI:10.1002/cyto.a.22629