Quantitative Colocalization Analysis of Multicolor Confocal Immunofluorescence Microscopy Images: Pushing Pixels to Explore Biological Phenomena
By V. Zinchuk, O. Zinchuk, T. Okada. Acta Histochemica et Cytochemica, 2007
452 citations recorded by the source corpus.
Quantitative colocalization analysis is an advanced digital imaging tool to examine antigens of interest in immunofluorescence images obtained using confocal microscopes. It employs specialized algorithms to estimate the degree of overlap of fluorescence signals and thus enables acquiring important new information not otherwise obtainable using qualitative approaches alone. As raw confocal images have high levels of background, they should be prepared to become suitable for reliable calculation of colocalization coefficients by correcting it. We provide concise theoretical basis of quantitative colocalization analysis, discuss its limitations, and describe proper use of the technique. The use of quantitative colocalization analysis is demonstrated by studying bile salt export pump and multidrug resistance associated protein 2 in the liver and major basic protein and platelet activating factor receptor antigens in conjunctiva. The review is focused on the applicability and correct interpretation of the results of colocalization coefficients calculations.
Subfields: Molecular Biology, Oncology, Rheumatology
View Paper: https://www.semanticscholar.org/paper/e6c7c3fbe0d5a9fb9d424596b0c3a007068371db
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Citations in the corpus
- Quantifying colocalization by correlation: The Pearson correlation coefficient is superior to the Mander's overlap coefficient (2010, background): “and was created to meet perceived deficiencies in the PCC, principally that the PCC ‘‘is not sensitive to differences in signal intensity between the components of an image caused by different labeling with fluorochromes, photobleaching or different settings of amplifiers’’ and ‘‘the negative values”