Application of an imaging flow cytometry γ-H2AX assay for biodosimetry using supervised machine learning
The efficiency of the γ-H2AX-IFC assay, 1 hour post-exposure, has been improved and validated using the SML K-NN methodology for dose estimation. This study could help establish the γ-H2AX assay as a triage tool for the rapid screening of a large number of samples.
Authors
- Lindsay A. Beaton-Green (ORCID: https://orcid.org/0000-0002-6005-7768)
- Md. Harun-Or-Rashid (ORCID: https://orcid.org/0000-0003-3452-9351)
- Ruth C. Wilkins (ORCID: https://orcid.org/0000-0002-9621-477X)
- Melody Li (ORCID: https://orcid.org/0000-0001-5320-8874)
- Jessica M. Mayenburg
- Eman M. Hassan (ORCID: https://orcid.org/0000-0002-2198-1827)
- Benjamin Puzantian
Institutions
- Health Canada (CA)
- Carleton University (CA)
Publication Details
- Journal
- International Journal of Radiation Biology
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1080/09553002.2025.2536108
- Citations
- 3
- Primary Topic
- DNA Repair Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- National Institute of Allergy and Infectious Diseases