Published 2011 | Version v1
Journal article

The RABiT: A Rapid Automated Biodosimetry Tool for radiological triage. II. Technological developments

  • 1. Radiological Research Accelerator Facility, Columbia University, Irvington (United States)
  • 2. Department of Mechanical Engineering, Columbia University, Irvington (United States)
  • 3. Center for Radiological Research, Columbia University, New York (United States)

Description

Purpose: Over the past five years the Center for Minimally Invasive Radiation Biodosimetry at Columbia University has developed the Rapid Automated Biodosimetry Tool (RABiT), a completely automated, ultra-high throughput biodosimetry workstation. This paper describes recent upgrades and reliability testing of the RABiT. Materials and methods: The RABiT analyses fingerstick-derived blood samples to estimate past radiation exposure or to identify individuals exposed above or below a cut-off dose. Through automated robotics, lymphocytes are extracted from fingerstick blood samples into filter-bottomed multi-well plates. Depending on the time since exposure, the RABiT scores either micronuclei or phosphorylation of the histone H2AX, in an automated robotic system, using filter-bottomed multi-well plates. Following lymphocyte culturing, fixation and staining, the filter bottoms are removed from the multi-well plates and sealed prior to automated high-speed imaging. Image analysis is performed online using dedicated image processing hardware. Both the sealed filters and the images are archived. Results: We have developed a new robotic system for lymphocyte processing, making use of an upgraded laser power and parallel processing of four capillaries at once. This system has allowed acceleration of lymphocyte isolation, the main bottleneck of the RABiT operation, from 12 to 2 sec/sample. Reliability tests have been performed on all robotic subsystems. Conclusions: Parallel handling of multiple samples through the use of dedicated, purpose-built, robotics and high speed imaging allows analysis of up to 30,000 samples per day. (authors)

Availability note (English)

Also available at: https://doi.org/10.3109/09553002.2011.573612

Additional details

Identifiers

Publishing Information

Journal Title
International Journal of Radiation Biology
Journal Volume
87
Journal Issue
8
Journal Page Range
p. 776-790
ISSN
0955-3002