Ontology highlight
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.
SUBMITTER: Ahmed M
PROVIDER: S-EPMC6612416 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Ahmed Mahmoud M Ahmed Mahmoud M Lai Trang Huyen TH Kim Deok Ryong DR
PeerJ 20190704
<h4>Background</h4>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.<h4>Implementation</h4>This p ...[more]