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Strong Radiation Field Online Detection and Monitoring System with Camera
Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of M...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955199/ https://www.ncbi.nlm.nih.gov/pubmed/35336450 http://dx.doi.org/10.3390/s22062279 |
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author | Han, Yongchao Xu, Shoulong Liu, Yang Xu, Ling Gong, Dawei Qin, Zhiwei Dong, Hanfeng Yang, Huaiqing |
author_facet | Han, Yongchao Xu, Shoulong Liu, Yang Xu, Ling Gong, Dawei Qin, Zhiwei Dong, Hanfeng Yang, Huaiqing |
author_sort | Han, Yongchao |
collection | PubMed |
description | Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of MAPS camera and establish a linear relationship between the average response signal and radiation dose rate in the strong-dose-rate range. There is an obvious response signal in the video frames when the camera module parameters are set to automatic, but the linear response is very poor. However, the fixed image parameters are not good at adapting to the changes of the environment and affect the quality of the video frames. A dual module online radiation detection and monitoring probe was made to carry out effective video monitoring and radiation detection at the same time. The measurement results show that the dose rate detection error is less than 5% with a dose rate in the range of 60 to 425 Gy/h, and the visible light image does not have obvious distortion, deformation, or color shift due to the interference of the radiation response event and radiation damage. Hence, the system test results show that it can be used for online detection and monitoring in a strong radiation environment. |
format | Online Article Text |
id | pubmed-8955199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89551992022-03-26 Strong Radiation Field Online Detection and Monitoring System with Camera Han, Yongchao Xu, Shoulong Liu, Yang Xu, Ling Gong, Dawei Qin, Zhiwei Dong, Hanfeng Yang, Huaiqing Sensors (Basel) Communication Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of MAPS camera and establish a linear relationship between the average response signal and radiation dose rate in the strong-dose-rate range. There is an obvious response signal in the video frames when the camera module parameters are set to automatic, but the linear response is very poor. However, the fixed image parameters are not good at adapting to the changes of the environment and affect the quality of the video frames. A dual module online radiation detection and monitoring probe was made to carry out effective video monitoring and radiation detection at the same time. The measurement results show that the dose rate detection error is less than 5% with a dose rate in the range of 60 to 425 Gy/h, and the visible light image does not have obvious distortion, deformation, or color shift due to the interference of the radiation response event and radiation damage. Hence, the system test results show that it can be used for online detection and monitoring in a strong radiation environment. MDPI 2022-03-16 /pmc/articles/PMC8955199/ /pubmed/35336450 http://dx.doi.org/10.3390/s22062279 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Han, Yongchao Xu, Shoulong Liu, Yang Xu, Ling Gong, Dawei Qin, Zhiwei Dong, Hanfeng Yang, Huaiqing Strong Radiation Field Online Detection and Monitoring System with Camera |
title | Strong Radiation Field Online Detection and Monitoring System with Camera |
title_full | Strong Radiation Field Online Detection and Monitoring System with Camera |
title_fullStr | Strong Radiation Field Online Detection and Monitoring System with Camera |
title_full_unstemmed | Strong Radiation Field Online Detection and Monitoring System with Camera |
title_short | Strong Radiation Field Online Detection and Monitoring System with Camera |
title_sort | strong radiation field online detection and monitoring system with camera |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955199/ https://www.ncbi.nlm.nih.gov/pubmed/35336450 http://dx.doi.org/10.3390/s22062279 |
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