CFQuant-automatic

CFQuant-automatic quantifies luminescent and fluorescent halos around cell colonies in high-throughput images to provide quantitative measurements for colony luminescence assays.


Key Features:

  • Automatic Identification and Quantification: Automatically identifies cell colonies and their associated luminescent or fluorescent halos in images despite biological noise.
  • Shape-Based Analysis: Leverages the expected shape of luminescence halos to improve detection and measurement accuracy.
  • Quantitative Data Output: Produces detailed quantitative measurements of features related to colonies and their luminescent halos.
  • High-throughput Image Analysis and Validation: Performs high-throughput image analysis and was validated by correlation with known protein expression levels (R = 0.85).

Scientific Applications:

  • Colony luminescence assays: Quantifies luminescence and fluorescence levels around colonies for reporter-based assays in microbiological research.
  • Comparative trait analysis: Enables comparison of luminescence-derived traits across different strains or treatments.

Methodology:

High-throughput image analysis that identifies colonies and luminescent/fluorescent halos using shape-based criteria, with validation by correlation to protein expression levels (R = 0.85).

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
MATLAB
Added:
5/27/2019
Last Updated:
6/16/2020

Operations

Publications

Dafni E, Weiner I, Shahar N, Tuller T, Yacoby I. Image-Processing Software for High-Throughput Quantification of Colony Luminescence. mSphere. 2019;4(1). doi:10.1128/msphere.00676-18. PMID:30602526. PMCID:PMC6315083.

PMID: 30602526
PMCID: PMC6315083
Funding: - United States-Israel Binational Science Foundation: 2016666 - Israel Science Foundation: 1646/16, 2185/17

Documentation

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