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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
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Related Experiment Video

Updated: Aug 30, 2025

A High-Throughput Comet Assay Approach for Assessing Cellular DNA Damage
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A High-Throughput Comet Assay Approach for Assessing Cellular DNA Damage

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CometAnalyser: A user-friendly, open-source deep-learning microscopy tool for quantitative comet assay analysis.

Attila Beleon1, Sara Pignatta2, Chiara Arienti2

  • 1Synthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.

Computational and Structural Biotechnology Journal
|August 26, 2022
PubMed
Summary
This summary is machine-generated.

The Comet Assay quantifies DNA damage in single cells. A new open-source tool, CometAnalyser, automates this process for reliable genotoxicity assessment using deep learning.

Keywords:
Comet assayDeep learningMicroscopyOncologyQuantitative analysisSilver and fluorescence staining

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Area of Science:

  • Biotechnology
  • Genetics
  • Cell Biology

Background:

  • The Comet Assay is a vital technique for assessing DNA damage in single cells.
  • It's crucial for evaluating genotoxic effects of treatments like radiotherapy and chemotherapy.
  • Current analysis methods can be labor-intensive and require expertise for reproducibility.

Purpose of the Study:

  • To review existing solutions for reproducible Comet Assay data acquisition.
  • To introduce CometAnalyser, an automated, user-friendly tool for Comet Assay image analysis.
  • To enhance the efficiency and reliability of DNA damage quantification.

Main Methods:

  • Development of CometAnalyser, an open-source deep-learning software.
  • The tool processes fluorescent and silver-stained wide-field microscopy images.
  • Automated comet segmentation, classification, and feature extraction (e.g., Tail Moment).

Main Results:

  • CometAnalyser provides automated segmentation and classification of comets.
  • It extracts key quantitative features for statistical analysis, including Tail Moment.
  • The tool is designed for ease of use and compatibility across major operating systems.

Conclusions:

  • CometAnalyser offers a reliable and efficient solution for Comet Assay analysis.
  • This open-source tool facilitates reproducible DNA damage assessment.
  • It supports researchers in genotoxicity studies and related fields.