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Wiley InterScience

Journal of Microscopy

Journal of Microscopy

Volume 224 Issue 3, Pages 213 - 232

Published Online: 20 Dec 2006

Journal compilation © 2010 Royal Microscopical Society



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TUTORIAL REVIEW
A guided tour into subcellular colocalization analysis in light microscopy
S. BOLTE* & F. P. CORDELIÈRES
  *Plateforme d'Imagerie et de Biologie Cellulaire, IFR 87 'la Plante et son Environnement', Institut des Sciences du Végétal, Avenue de la Terrasse, 91198 Gif-sur-Yvette Cedex, France
  Institut Curie, CNRS UMR 146, Plateforme d'Imagerie Cellulaire et Tissulaire, Bâtiment 112, Centre Universitaire, 91405 Orsay Cedex, France
Correspondence to: S. Bolte. Tel: 0033 69863130; Fax: 0033 169 86 1703; e-mail: Susanne.Bolte@isv.cnrs-gif.fr.
F. P. Cordelières. E-mail: Fabrice.Cordelieres@curie.u-psud.fr
Copyright © 2006 The Royal Microscopical Society
No claim to original US government works
KEYWORDS
Colocalization • confocal microscopy • fluorescence microscopy • image analysis • wide-field microscopy

Summary

AbstractIntroductionBefore getting startedChecking the systemPre-processing of imagesAppendix

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.


Received 13 April 2006; accepted 28 June 2006

DIGITAL OBJECT IDENTIFIER (DOI)
10.1111/j.1365-2818.2006.01706.x About DOI

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