colocr

colocr performs co-localization analysis of fluorescence microscopy images to quantify spatial distribution and assess potential functional or physical associations between two proteins within cells.


Key Features:

  • Image loading: Supports loading fluorescence microscopy images for downstream analysis.
  • Region of interest (ROI) selection: Enables selection and specification of ROIs for targeted co-localization assessment.
  • Co-localization metrics computation: Calculates quantitative co-localization metrics to evaluate protein co-distribution.

Scientific Applications:

  • Protein co-localization analysis: Quantifies spatial overlap of two proteins within cellular compartments using microscopy data.
  • Inference of functional or physical associations: Supports interpretation of potential protein–protein interactions and cellular mechanisms from co-distribution patterns.

Methodology:

Computational steps explicitly include loading fluorescence microscopy images, selecting regions of interest (ROIs), and computing co-localization metrics to quantify protein co-distribution.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
7/31/2019
Last Updated:
6/16/2020

Operations

Publications

Ahmed M, Lai TH, Kim DR. colocr: an R package for conducting co-localization analysis on fluorescence microscopy images. PeerJ. 2019;7:e7255. doi:10.7717/peerj.7255. PMID:31309005. PMCID:PMC6612416.

PMID: 31309005
PMCID: PMC6612416
Funding: - Ministry of Education Science and Technology: 2018R1D1A1B07043715 - Ministry of Science, ICT and Future Planning: NRF2015R1A5A2008833

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