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Complete Technical Scheme for Automatic Biological Dose Estimation Platform
To establish a complete technical solution for the automatic radiation biological dose estimation platform for biological dose estimation and classification of the wounded in large-scale radiation accidents, the “dose–effect curve by dicentric chromosome (DIC) automatic analysis” was established and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170965/ https://www.ncbi.nlm.nih.gov/pubmed/30302068 http://dx.doi.org/10.1177/1559325818799951 |
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author | Dai, Hong Feng, Junchao Bian, Huahui Chen, Weibo Wang, Youyou Liu, Yulong Hu, Wentao |
author_facet | Dai, Hong Feng, Junchao Bian, Huahui Chen, Weibo Wang, Youyou Liu, Yulong Hu, Wentao |
author_sort | Dai, Hong |
collection | PubMed |
description | To establish a complete technical solution for the automatic radiation biological dose estimation platform for biological dose estimation and classification of the wounded in large-scale radiation accidents, the “dose–effect curve by dicentric chromosome (DIC) automatic analysis” was established and its accuracy was verified. The effects of analyzed cell number and the special treatment of the culture on dose estimation by DIC automatic analysis were studied. Besides, sample processing capabilities of the special equipments were tested. The fitted “dose–effect curve by DIC automatic analysis” was presented as follows: Y = (0.01806 ± 0.00032) D (2) + (0.01279 ± 0.00084) D + (0.0004891 ± 0.0001358) (R (2) = 0.961). Three-gradient scanning method, culture refrigeration method, and interprofessional collaboration under extreme conditions were proposed to improve the detection speed, prolong the sample processing time window, and reduce the equipment investment. In addition, the optimized device allocation ratio for the automatic biological dose estimation laboratory was proposed to eliminate the efficiency bottleneck. The complete set of technical solutions for the high-throughput automatic biological dose estimation laboratory proposed in this study can meet the requirements of early classification and rapid biological dose assessment of the wounded during the large-scale nuclear radiation events, and it is worthy of further promotion. |
format | Online Article Text |
id | pubmed-6170965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-61709652018-10-09 Complete Technical Scheme for Automatic Biological Dose Estimation Platform Dai, Hong Feng, Junchao Bian, Huahui Chen, Weibo Wang, Youyou Liu, Yulong Hu, Wentao Dose Response Original Article To establish a complete technical solution for the automatic radiation biological dose estimation platform for biological dose estimation and classification of the wounded in large-scale radiation accidents, the “dose–effect curve by dicentric chromosome (DIC) automatic analysis” was established and its accuracy was verified. The effects of analyzed cell number and the special treatment of the culture on dose estimation by DIC automatic analysis were studied. Besides, sample processing capabilities of the special equipments were tested. The fitted “dose–effect curve by DIC automatic analysis” was presented as follows: Y = (0.01806 ± 0.00032) D (2) + (0.01279 ± 0.00084) D + (0.0004891 ± 0.0001358) (R (2) = 0.961). Three-gradient scanning method, culture refrigeration method, and interprofessional collaboration under extreme conditions were proposed to improve the detection speed, prolong the sample processing time window, and reduce the equipment investment. In addition, the optimized device allocation ratio for the automatic biological dose estimation laboratory was proposed to eliminate the efficiency bottleneck. The complete set of technical solutions for the high-throughput automatic biological dose estimation laboratory proposed in this study can meet the requirements of early classification and rapid biological dose assessment of the wounded during the large-scale nuclear radiation events, and it is worthy of further promotion. SAGE Publications 2018-10-03 /pmc/articles/PMC6170965/ /pubmed/30302068 http://dx.doi.org/10.1177/1559325818799951 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Dai, Hong Feng, Junchao Bian, Huahui Chen, Weibo Wang, Youyou Liu, Yulong Hu, Wentao Complete Technical Scheme for Automatic Biological Dose Estimation Platform |
title | Complete Technical Scheme for Automatic Biological Dose Estimation Platform |
title_full | Complete Technical Scheme for Automatic Biological Dose Estimation Platform |
title_fullStr | Complete Technical Scheme for Automatic Biological Dose Estimation Platform |
title_full_unstemmed | Complete Technical Scheme for Automatic Biological Dose Estimation Platform |
title_short | Complete Technical Scheme for Automatic Biological Dose Estimation Platform |
title_sort | complete technical scheme for automatic biological dose estimation platform |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170965/ https://www.ncbi.nlm.nih.gov/pubmed/30302068 http://dx.doi.org/10.1177/1559325818799951 |
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