Neural network based 3D tracking with a graphene transparent focal stack imaging system

Transparent photodetectors based on graphene stacked vertically along the optical axis have shown promising potential for light field reconstruction. Here, the authors develop transparent photodetector arrays and implement a neural network for real-time 3D optical imaging and object tracking.

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Autores principales:	Dehui Zhang, Zhen Xu, Zhengyu Huang, Audrey Rose Gutierrez, Cameron J. Blocker, Che-Hung Liu, Miao-Bin Lien, Gong Cheng, Zhe Liu, Il Yong Chun, Jeffrey A. Fessler, Zhaohui Zhong, Theodore B. Norris
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/5f72d919c06242deb5c169a7bf037810
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spelling	oai:doaj.org-article:5f72d919c06242deb5c169a7bf0378102021-12-02T16:45:14ZNeural network based 3D tracking with a graphene transparent focal stack imaging system10.1038/s41467-021-22696-x2041-1723https://doaj.org/article/5f72d919c06242deb5c169a7bf0378102021-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22696-xhttps://doaj.org/toc/2041-1723Transparent photodetectors based on graphene stacked vertically along the optical axis have shown promising potential for light field reconstruction. Here, the authors develop transparent photodetector arrays and implement a neural network for real-time 3D optical imaging and object tracking.Dehui ZhangZhen XuZhengyu HuangAudrey Rose GutierrezCameron J. BlockerChe-Hung LiuMiao-Bin LienGong ChengZhe LiuIl Yong ChunJeffrey A. FesslerZhaohui ZhongTheodore B. NorrisNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Dehui Zhang Zhen Xu Zhengyu Huang Audrey Rose Gutierrez Cameron J. Blocker Che-Hung Liu Miao-Bin Lien Gong Cheng Zhe Liu Il Yong Chun Jeffrey A. Fessler Zhaohui Zhong Theodore B. Norris Neural network based 3D tracking with a graphene transparent focal stack imaging system
description	Transparent photodetectors based on graphene stacked vertically along the optical axis have shown promising potential for light field reconstruction. Here, the authors develop transparent photodetector arrays and implement a neural network for real-time 3D optical imaging and object tracking.
format	article
author	Dehui Zhang Zhen Xu Zhengyu Huang Audrey Rose Gutierrez Cameron J. Blocker Che-Hung Liu Miao-Bin Lien Gong Cheng Zhe Liu Il Yong Chun Jeffrey A. Fessler Zhaohui Zhong Theodore B. Norris
author_facet	Dehui Zhang Zhen Xu Zhengyu Huang Audrey Rose Gutierrez Cameron J. Blocker Che-Hung Liu Miao-Bin Lien Gong Cheng Zhe Liu Il Yong Chun Jeffrey A. Fessler Zhaohui Zhong Theodore B. Norris
author_sort	Dehui Zhang
title	Neural network based 3D tracking with a graphene transparent focal stack imaging system
title_short	Neural network based 3D tracking with a graphene transparent focal stack imaging system
title_full	Neural network based 3D tracking with a graphene transparent focal stack imaging system
title_fullStr	Neural network based 3D tracking with a graphene transparent focal stack imaging system
title_full_unstemmed	Neural network based 3D tracking with a graphene transparent focal stack imaging system
title_sort	neural network based 3d tracking with a graphene transparent focal stack imaging system
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/5f72d919c06242deb5c169a7bf037810
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Neural network based 3D tracking with a graphene transparent focal stack imaging system

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