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Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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A scanning and image processing system with integrated design for automated micronucleus scoring.

Tímea Hülber1,2, Zsuzsa S Kocsis3, Enikő Kis4

  • 1Institute of Nuclear Techniques, Budapest University of Technology and Economics, Budapest, Hungary.

International Journal of Radiation Biology
|February 6, 2020
PubMed
Summary

A new automated microscopic system, Radometer MN-Series (RS-MN), offers accurate micronucleus (MN) scoring. Its semi-automatic mode matches manual scoring, while the fully automatic mode is suitable for triage purposes.

Keywords:
Automatic micronucleus (MN) assaybiodosimetrydose–response curvesradiation triageuncertainty contributions

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Toxicology

Background:

  • Automated micronucleus (MN) scoring is crucial for genotoxicity assessment.
  • Existing systems may lack cost-effectiveness or require extensive user interaction.
  • Developing efficient and accurate automated scoring methods is an ongoing challenge.

Purpose of the Study:

  • To design a compact, cost-effective optical microscopic system for automated non-fluorescent micronucleus (MN) scoring.
  • To achieve accuracy comparable to visual scoring with minimal user interaction.
  • To provide a fully automatic scoring option suitable for triage.

Main Methods:

  • Developed the Radometer MN-Series (RS-MN) microscopic system with parallel hardware and software development.
  • Implemented automated scanning, binucleated cell identification, and micronucleus detection.
  • Evaluated manual, semi-automatic, and fully automatic scoring methods, including dose-response analysis.

Main Results:

  • The RS-MN system reduced the minimum resolvable dose by 14% using object-sensitive autofocusing and multi-layer image acquisition.
  • Manual, semi-automatic, and automatic scoring methods showed high correlation (Pearson's r = 0.977–0.998).
  • The minimum resolvable dose was 0.48 Gy for manual and 0.61 Gy for automatic scoring, considering all uncertainty factors.

Conclusions:

  • The fully automatic RS-MN mode is validated for triage applications in genotoxicity testing.
  • The semi-automatic mode offers performance comparable to manual scoring.
  • The RS-MN system presents a compact, cost-effective, and high-performing alternative to existing automated scoring systems.