The overall philosophy behind the RABiT is to use full automation
to speed up and improve the precision and accuracy of established
biodosimetric assays. Full end-to-end automation of the assay
and analysis has proved to be a successful approach for biodosimetry.
This RABiT (Rapid Automated Biodosimetry Tool) approach has increased
the potential throughput for conventional cytogenetic assays from
less than 100/day to over 10,000/day, significantly higher than
is possible from an individual, manually-based laboratory, or
even a network of such laboratories.
Our original work focused on a custom robotic system, designed
to analyze up to 30,000 samples per day for biodosimetry. The
basic system involves two well-characterized assays with all the
processing being carried out in-situ in multi-well plates.
Garty G, Chen Y, Turner HC. Zhang J, Lyulko O, Bertucci A, Xu Y, Wang H, Simaan N, Randers-Pehrson G, Yao YL, Brenner DJ. The RABIT: A Rapid Automated BIodosimetry Tool For Radiological Triage. II. Technological Developments. International Journal of Radiation Biology, 87:776-790 (2011). [PMC] [Journal]
With the rising prevalence of High Content Cellular
Screening systems, a logical development, is to adapt our RABiT
protocols for direct use on these commercial high-throughput robotic
machines - the "RABiT2" approach. In addition, to further
increase speed, throughput, and reliability, our goal is to optimize
the cellular assays in terms of accelerated assay time, simplified
protocols, simplified image analysis and a shorter "time-to-answer"
- all consistent with the RABiT2 approach.
Repin M, Turner HC, Garty G and Brenner DJ. Next generation platforms for high-throughput biodosimetry. Radiation Protection Dosimetry, 159:105-110 (2014). [Journal]
The RABiT uses custom developed software for scoring γ-H2AX fluorescence
and micronucleus yields. There has been a large demand to perform
these analyses also on samples generated in other projects at
the Center for Radiological Research. We have therefore bundled
the Image analysis software with a convenient graphical user interface
and Microsoft Excel-based reporting and made it available on several
computers at the Center for Radiological Research. Two versions
of the software have been developed for scoring micronuclei and
for scoring immunostaining-based images (γ-H2AX and similar assays).
Similar software development is ongoing for the dicentric and