Research advances in forensic diatom testing

In forensic practice, it is difficult to determine whether a dead body in the water resulted from drowning or from disposal after death. Diatom testing is currently an important supporting technique for the determination of death by drowning and of drowning sites, even though it is a time-consuming...

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Autores principales: Zhou, Yuanyuan, Cao, Yongjie, Huang, Jiao, Deng, Kaifei, Ma, Kaijun, Zhang, Tianye, Chen, Liqin, Zhang, Ji, Huang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Reviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476611/
https://www.ncbi.nlm.nih.gov/pubmed/32939425
http://dx.doi.org/10.1080/20961790.2020.1718901
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author Zhou, Yuanyuan
Cao, Yongjie
Huang, Jiao
Deng, Kaifei
Ma, Kaijun
Zhang, Tianye
Chen, Liqin
Zhang, Ji
Huang, Ping
author_facet Zhou, Yuanyuan
Cao, Yongjie
Huang, Jiao
Deng, Kaifei
Ma, Kaijun
Zhang, Tianye
Chen, Liqin
Zhang, Ji
Huang, Ping
author_sort Zhou, Yuanyuan
collection PubMed
description In forensic practice, it is difficult to determine whether a dead body in the water resulted from drowning or from disposal after death. Diatom testing is currently an important supporting technique for the determination of death by drowning and of drowning sites, even though it is a time-consuming and laborious task. This article reviews the development of diatom testing over the decades and discusses a new method for the potential application of deep learning in diatom testing.
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spelling pubmed-74766112020-09-15 Research advances in forensic diatom testing Zhou, Yuanyuan Cao, Yongjie Huang, Jiao Deng, Kaifei Ma, Kaijun Zhang, Tianye Chen, Liqin Zhang, Ji Huang, Ping Forensic Sci Res Reviews In forensic practice, it is difficult to determine whether a dead body in the water resulted from drowning or from disposal after death. Diatom testing is currently an important supporting technique for the determination of death by drowning and of drowning sites, even though it is a time-consuming and laborious task. This article reviews the development of diatom testing over the decades and discusses a new method for the potential application of deep learning in diatom testing. Taylor & Francis 2020-03-23 /pmc/articles/PMC7476611/ /pubmed/32939425 http://dx.doi.org/10.1080/20961790.2020.1718901 Text en © 2020 The Author(s). Published by Taylor & Francis Group on behalf of the Academy of Forensic Science https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Zhou, Yuanyuan
Cao, Yongjie
Huang, Jiao
Deng, Kaifei
Ma, Kaijun
Zhang, Tianye
Chen, Liqin
Zhang, Ji
Huang, Ping
Research advances in forensic diatom testing
title Research advances in forensic diatom testing
title_full Research advances in forensic diatom testing
title_fullStr Research advances in forensic diatom testing
title_full_unstemmed Research advances in forensic diatom testing
title_short Research advances in forensic diatom testing
title_sort research advances in forensic diatom testing
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476611/
https://www.ncbi.nlm.nih.gov/pubmed/32939425
http://dx.doi.org/10.1080/20961790.2020.1718901
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