A guided tour into subcellular colocalization analysis in light microscopy

S Bolte, FP Cordelières - Journal of microscopy, 2006 - Wiley Online Library
S Bolte, FP Cordelières
Journal of microscopy, 2006Wiley Online Library
It is generally accepted that the functional compartmentalization of eukaryotic cells is
reflected by the differential occurrence of proteins in their compartments. The location and
physiological function of a protein are closely related; local information of a protein is thus
crucial to understanding its role in biological processes. The visualization of proteins
residing on intracellular structures by fluorescence microscopy has become a routine
approach in cell biology and is increasingly used to assess their colocalization with well …
Summary
It is generally accepted that the functional compartmentalization of eukaryotic cells is reflected by the differential occurrence of proteins in their compartments. The location and physiological function of a protein are closely related; local information of a protein is thus crucial to understanding its role in biological processes. The visualization of proteins residing on intracellular structures by fluorescence microscopy has become a routine approach in cell biology and is increasingly used to assess their colocalization with well‐characterized markers. However, image‐analysis methods for colocalization studies are a field of contention and enigma. We have therefore undertaken to review the most currently used colocalization analysis methods, introducing the basic optical concepts important for image acquisition and subsequent analysis. We provide a summary of practical tips for image acquisition and treatment that should precede proper colocalization analysis. Furthermore, we discuss the application and feasibility of colocalization tools for various biological colocalization situations and discuss their respective strengths and weaknesses. We have created a novel toolbox for subcellular colocalization analysis under ImageJ, named JACoP, that integrates current global statistic methods and a novel object‐based approach.
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