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

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 limit...

Full description

Bibliographic Details
Main Authors: Mahmoud Ahmed, Trang Huyen Lai, Deok Ryong Kim
Format: Article
Language:English
Published: PeerJ Inc. 2019-07-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/7255.pdf
Description
Summary: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.
ISSN:2167-8359