Papers
2
Total Citations
97
H-Index
2
About
Jay R. Perrier is a leading researcher in radiation biodosimetry and high-throughput biological screening, with a focus on developing automated systems for rapid, large-scale assessment of radiation exposure. His major contributions center on integrating advanced imaging flow cytometry with robotics to transform traditional, labor-intensive cytogenetic assays into high-throughput platforms. Perrier’s most cited work, "Automated Triage Radiation Biodosimetry" (2019, 54 citations), pioneers the automation of the cytokinesis-block micronucleus (CBMN) assay—a gold-standard method for radiation dose estimation—making it practical for mass casualty triage after nuclear events. His earlier study, "The RABiT: high-throughput technology for assessing global DSB repair" (2014, 43 citations), introduced a rapid automated biodosimetry tool that quantifies DNA double-strand break repair, enabling faster, more scalable population screening. These innovations address critical gaps in emergency response, replacing manual microscopy with efficient, robot-assisted workflows. Perrier’s work has significant implications for public health preparedness, earning recognition for bridging engineering and radiobiology. His research continues to shape the future of automated biodosimetry, offering scalable solutions for radiation risk assessment in both clinical and disaster settings.
Research Focus
Key Achievements
Top Papers
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- 2The RABiT: high-throughput technology for assessing global DSB repair43 citations · 2014