Automated analysis of the cytokinesis-block micronucleus assay for radiation biodosimetry using imaging flow cytometry
The cytokinesis-block micronucleus (CBMN) assay is employed in biological dosimetry to determine the dose of radiation to an exposed individual from the frequency of micronuclei (MN) in binucleated lymphocyte cells. The method has been partially automated for the use in mass casualty events, but it would be advantageous to further automate the method for increased throughput. Recently, automated image analysis has been successfully applied to the traditional, slide-scoring-based method of the CBMN assay. However, with the development of new technologies such as the imaging flow cytometer, it is now possible to adapt this microscope-based assay to an automated imaging flow cytometry method. The Image StreamX is an imaging flow cytometer that has adequate sensitivity to quantify radiation doses larger than 1 Gy while adding the increased throughput of traditional flow cytometry. The protocol and analysis presented in this work adapts the CBMN assay for the use on the ImageStream X. Ex vivoirradiated whole blood samples cultured for CBMN were analyzed on the ImageStreamX, and preliminary results indicate that binucleated cells and MN can be identified, imaged and enumerated automatically by imaging flow cytometry. Details of the method development, gating strategy and the dose response curve generated are presented and indicate that adaptation of the CBMN assay for the use with imaging flow cytometry has potential for highthroughput analysis following a mass casualty radiological event.
|Keywords||Automated MN analysis, Biodosimetry, Cytokinesis-block micronucleus (CBMN) assay, Imaging flow cytometry, Population triage|
|Journal||Radiation and Environmental Biophysics|
Rodrigues, M.A. (M. A.), Beaton-Green, L.A. (L. A.), Kutzner, B.C. (B. C.), & Wilkins, R.C. (2014). Automated analysis of the cytokinesis-block micronucleus assay for radiation biodosimetry using imaging flow cytometry. In Radiation and Environmental Biophysics (Vol. 53, pp. 273–282). doi:10.1007/s00411-014-0525-x