THE RABIT: A RAPID AUTOMATED BIODOSIMETRY TOOL FOR RADIOLOGICAL TRIAGE

被引:97
作者
Garty, Guy [1 ]
Chen, Youhua [2 ]
Salerno, Alessio [2 ]
Turner, Helen [1 ]
Zhang, Jian [2 ]
Lyulko, Oleksandra [1 ]
Bertucci, Antonella [1 ]
Xu, Yanping [1 ]
Wang, Hongliang [2 ]
Simaan, Nabil [2 ]
Randers-Pehrson, Gerhard [1 ]
Yao, Y. Lawrence [2 ]
Amundson, Sally A. [1 ]
Brenner, David J. [1 ]
机构
[1] Columbia Univ, Ctr Radiol Res, Med Ctr, New York, NY 10032 USA
[2] Columbia Univ, Dept Mech Engn, New York, NY 10027 USA
来源
HEALTH PHYSICS | 2010年 / 98卷 / 02期
关键词
biological indicators; dosimetry; blood; cytogenetics; HUMAN-LYMPHOCYTES; MICRONUCLEUS ASSAY; RADIATION-EXPOSURE; CYTOGENETIC BIODOSIMETRY; GENE-EXPRESSION; IMAGE-ANALYSIS; HUMN PROJECT; CHROMOSOME; SYSTEM; IRRADIATION;
D O I
10.1097/HP.0b013e3181ab3cb6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In response to the recognized need for high throughput biodosimetry methods for use after large-scale radiological events, a logical approach is complete automation of standard biodosimetric assays that are currently performed manually. The authors describe progress to date on the RABIT (Rapid Automated BIodosimetry Tool), designed to score micronuclei or gamma-H2AX fluorescence in lymphocytes derived from a single drop of blood from a fingerstick. The RABIT system is designed to be completely automated, from the input of the capillary blood sample into the machine to the output of a dose estimate. Improvements in throughput are achieved through use of a single drop of blood, optimization of the biological protocols for in situ analysis in multi-well plates, implementation of robotic-plate and liquid handling, and new developments in high-speed imaging. Automating well-established bioassays represents a promising approach to high-throughput radiation biodosimetry, both because high throughputs can be achieved, but also because the time to deployment is potentially much shorter than for a new biological assay. Here the authors describe the development of each of the individual modules of the RABIT system and show preliminary data from key modules. System integration is ongoing, followed by calibration and validation. Health Phys. 98(2):209-217; 2010
引用
收藏
页码:209 / 217
页数:9
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