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Updated: Jan 22, 2026

Rapid Analysis and Exploration of Fluorescence Microscopy Images
Published on: March 19, 2014
colocr: an R package for conducting co-localization analysis on fluorescence microscopy images
Mahmoud Ahmed1, Trang Huyen Lai1, Deok Ryong Kim1
1Department of Biochemistry and Convergence Medical Sciences and Institute of Health Sciences, Gyeongsang National University School of Medicine, JinJu, Republic of Korea.
Background:
The co-localization analysis of fluorescence microscopy images is a widely used technique in biological research. It is often used to determine the co-distribution of two proteins inside the cell, suggesting that these two proteins could be functionally or physically associated. The limiting step in conducting microscopy image analysis in a graphical interface tool is the selection of the regions of interest for the co-localization of two proteins.
Implementation:
This package provides a simple straightforward workflow for loading fluorescence images, choosing regions of interest and calculating co-localization measurements. Included in the package is a shiny app that can be invoked locally to interactively select the regions of interest where two proteins are co-localized.
Availability:
colocr is available on the comprehensive R archive network, and the source code is available on GitHub under the GPL-3 license as part of the ROpenSci collection, https://github.com/ropensci/colocr.
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