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Related Experiment Video

Updated: Jan 31, 2026

ScanLag: High-throughput Quantification of Colony Growth and Lag Time
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Image-Processing Software for High-Throughput Quantification of Colony Luminescence.

Eyal Dafni1, Iddo Weiner1,2, Noam Shahar1

  • 1School of Plant Sciences and Food Security, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.

Msphere
|January 4, 2019
PubMed
Summary
This summary is machine-generated.

We developed CFQuant-automatic software for analyzing colony luminescence assays. This high-throughput tool accurately measures luminescence halos, overcoming biological noise for reliable data collection in microbiological research.

Keywords:
fluorescent-image analysismicrobial methodsoftware

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Area of Science:

  • Microbiology
  • Biotechnology
  • Image Analysis

Background:

  • Colony luminescence assays utilize luminescent or fluorescent signals as reporters for traits of interest.
  • Existing automatic image analysis tools struggle with inherent biological noise, limiting high-throughput analysis of these assays.
  • Manual analysis of colony luminescence assays is laborious, especially for large datasets.

Purpose of the Study:

  • To develop high-throughput software, CFQuant-automatic, for the quantitative analysis of colony luminescence assays.
  • To overcome limitations of current automatic image analysis tools in identifying luminescent halos amidst biological noise.
  • To provide a fast and reliable method for measuring luminescence features in microbiological assays.

Main Methods:

  • Developed CFQuant-automatic software utilizing the expected shape of luminescence halos for identification.
  • Implemented algorithms to measure features of colonies and their surrounding luminescence halos.
  • Validated CFQuant-automatic performance using a colony luminescence assay with known protein expression levels.

Main Results:

  • CFQuant-automatic successfully identified and analyzed luminescence halos, overcoming challenges posed by biological noise.
  • The software provides quantitative measurements of colony and halo features.
  • Achieved a high correlation (R = 0.85) between CFQuant measurements and known protein expression levels.

Conclusions:

  • CFQuant-automatic is a fast, reliable, and high-throughput tool for analyzing colony luminescence assays.
  • The software enhances the usability of luminescence-based microbiological assays by enabling efficient data collection.
  • This advancement facilitates quantitative analysis of biologically interesting traits reported by luminescence.