ArticleRadiation and environmental biophysics2023
Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors.
Article in Radiation and environmental biophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 13 citations in OpenAlex.
- Radiation-Responsive Promoters: Molecular Mechanisms, Screening Strategies, and Translational Applications as Radiation Biomarkers.Current issues in molecular biology · 2026Review
- Establishment of a Radiation Dose-Response Calibration Curve Using a Rapid Cytokinesis-block Micronucleus Assay for Dose Assessment of Medical Radiation Equipment.Genome integrity · 2025Article
- Potentials of cytokinesis blocked micronucleus assay in radiation triage and biological dosimetry.Journal, genetic engineering & biotechnology · 2024Review
- High-Throughput Automated Construction and Validation of Dicentric Chromosome and Micronucleus Biodosimetry Calibration Curves for Radiation Emergency Response.Dose-response : a publication of International Hormesis SocietyArticle
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiation dose estimations performed by automated counting of micronuclei (MN) have been studied for their utility for triage following large-scale radiological incidents; although speed is essential, it also is essential to estimate radiation doses as accurately as possible for long-term epidemiological follow-up. Our goal in this study was to evaluate and improve the performance of automated MN counting for biodosimetry using the cytokinesis-block micronucleus (CBMN) assay. We measured false detection rates and used them to improve the accuracy of dosimetry. The average false-positive rate for binucleated cells was 1.14%; average false-positive and -negative MN rates were 1.03% and 3.50%, respectively. Detection errors seemed to be correlated with radiation dose. Correction of errors by visual inspection of images used for automated counting, called the semi-automated and manual scoring method, increased accuracy of dose estimation. Our findings suggest that dose assessment of the automated MN scoring system can be improved by subsequent error correction, which could be useful for performing biodosimetry on large numbers of people rapidly, accurately, and efficiently.
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