colocr: an R package for conducting co-localization analysis on fluorescence microscopy images

Author:

Ahmed Mahmoud1,Lai Trang Huyen1,Kim Deok Ryong1

Affiliation:

1. Department of Biochemistry and Convergence Medical Sciences and Institute of Health Sciences, Gyeongsang National University School of Medicine, JinJu, Republic of Korea

Abstract

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.

Funder

National Research Foundation of Korea

Ministry of Education Science and Technology

Ministry of Science, ICT and Future Planning

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference14 articles.

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3. Magick++ API is the object-oriented C++ API to the ImageMagick image-processing library;Bob Friesenhahn,2018

4. shiny: web application framework for R;Chang,2016

5. A practical guide to evaluating colocalization in biological microscopy;Dunn;AJP: Cell Physiology,2011

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