期刊论文详细信息
PeerJ
colocr: an R package for conducting co-localization analysis on fluorescence microscopy images
Mahmoud Ahmed1  Trang Huyen Lai1  Deok Ryong Kim1 
[1] Department of Biochemistry and Convergence Medical Sciences and Institute of Health Sciences, Gyeongsang National University School of Medicine, JinJu, Republic of Korea;
关键词: R package;    Colocalization;    Image analysis;    Fluorescence microscopy;    Statistics;   
DOI  :  10.7717/peerj.7255
来源: DOAJ
【 摘 要 】

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.

【 授权许可】

Unknown   

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