PMID- 18037985 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20211020 IS - 1350-4487 (Print) IS - 1350-4487 (Linking) VI - 42 IP - 6-7 DP - 2007 Jul TI - Sample Tracking in an Automated Cytogenetic Biodosimetry Laboratory for Radiation Mass Casualties. PG - 1119-1124 AB - Chromosome aberration-based dicentric assay is expected to be used after mass casualty life-threatening radiation exposures to assess radiation dose to individuals. This will require processing of a large number of samples for individual dose assessment and clinical triage to aid treatment decisions. We have established an automated, high-throughput, cytogenetic biodosimetry laboratory to process a large number of samples for conducting the dicentric assay using peripheral blood from exposed individuals according to internationally accepted laboratory protocols (i.e., within days following radiation exposures). The components of an automated cytogenetic biodosimetry laboratory include blood collection kits for sample shipment, a cell viability analyzer, a robotic liquid handler, an automated metaphase harvester, a metaphase spreader, high-throughput slide stainer and coverslipper, a high-throughput metaphase finder, multiple satellite chromosome-aberration analysis systems, and a computerized sample tracking system. Laboratory automation using commercially available, off-the-shelf technologies, customized technology integration, and implementation of a laboratory information management system (LIMS) for cytogenetic analysis will significantly increase throughput.This paper focuses on our efforts to eliminate data transcription errors, increase efficiency, and maintain samples' positive chain-of-custody by sample tracking during sample processing and data analysis. This sample tracking system represents a "beta" version, which can be modeled elsewhere in a cytogenetic biodosimetry laboratory, and includes a customized LIMS with a central server, personal computer workstations, barcode printers, fixed station and wireless hand-held devices to scan barcodes at various critical steps, and data transmission over a private intra-laboratory computer network. Our studies will improve diagnostic biodosimetry response, aid confirmation of clinical triage, and medical management of radiation exposed individuals. FAU - Martin, P R AU - Martin PR AD - Uniformed Services University of Health Sciences, Armed Forces Radiobiology Research Institute, 8901 Wisconsin Avenue. Bethesda, MD 20889-5603, USA. FAU - Berdychevski, R E AU - Berdychevski RE FAU - Subramanian, U AU - Subramanian U FAU - Blakely, W F AU - Blakely WF FAU - Prasanna, P G S AU - Prasanna PG LA - eng GR - Y01 AI003823-01/AI/NIAID NIH HHS/United States GR - Y01 AI005045/AI/NIAID NIH HHS/United States GR - Y01 AI005045-01/AI/NIAID NIH HHS/United States GR - Y01 DK003508-01/DK/NIDDK NIH HHS/United States PT - Journal Article PL - England TA - Radiat Meas JT - Radiation measurements JID - 9890953 PMC - PMC2084199 MID - NIHMS32166 EDAT- 2007/11/27 09:00 MHDA- 2007/11/27 09:01 PMCR- 2008/07/01 CRDT- 2007/11/27 09:00 PHST- 2007/11/27 09:00 [pubmed] PHST- 2007/11/27 09:01 [medline] PHST- 2007/11/27 09:00 [entrez] PHST- 2008/07/01 00:00 [pmc-release] AID - 10.1016/j.radmeas.2007.05.021 [doi] PST - ppublish SO - Radiat Meas. 2007 Jul;42(6-7):1119-1124. doi: 10.1016/j.radmeas.2007.05.021.