colocr: an R package for conducting co-localization analysis on fluorescence microscopy imagesopen access
- Authors
- Ahmed, Mahmoud; Trang Huyen Lai; Kim, Deok Ryong
- Issue Date
- Jul-2019
- Publisher
- PeerJ
- Keywords
- R package; Colocalization; Image analysis; Fluorescence microscopy; Statistics
- Citation
- PeerJ, v.7, no.7
- Indexed
- SCIE
SCOPUS
- Journal Title
- PeerJ
- Volume
- 7
- Number
- 7
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/8957
- DOI
- 10.7717/peerj.7255
- ISSN
- 2167-8359
- 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.
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Collections - College of Medicine > Department of Medicine > Journal Articles

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