Dakai Bian
Papers
2
Total Citations
37
H-Index
2
About
Dakai Bian is a biomedical engineer whose work centers on high-throughput radiation biodosimetry—the rapid, automated assessment of radiation exposure following a nuclear or radiological incident. His key research areas include automated imaging systems, robotic liquid handling, and assay miniaturization for triage biodosimetry. Bian’s most notable contribution is the development of the Robotically Based Automated Biodosimetry Tool (RABiT), a platform designed to process thousands of samples per day with minimal human intervention. His highly cited 2015 paper, “An automated imaging system for radiation biodosimetry” (31 citations), describes a fast, sensitive sCMOS camera and LED-based system that fully automates imaging steps, enabling high-throughput analysis. In his 2016 follow-up, “Liquid Handling Optimization in High-Throughput Biodosimetry Tool” (6 citations), Bian tackled the challenge of adapting the micronucleus assay from filter plates to V-shaped wells, optimizing robotic liquid handling for speed and efficiency. This work is critical for mass casualty triage, where every minute counts. Bian’s contributions have helped lay the engineering foundation for next-generation biodosimetry, making radiation assessment faster, more reliable, and scalable for real-world emergencies.
Research Focus
Key Achievements
Top Papers
- 1An automated imaging system for radiation biodosimetry31 citations · 2015
- 2Liquid Handling Optimization in High-Throughput Biodosimetry Tool6 citations · 2016