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.

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2021-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-22696-x
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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
collection DOAJ
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.
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spelling doaj.art-5f72d919c06242deb5c169a7bf0378102022-12-21T21:52:05ZengNature PortfolioNature Communications2041-17232021-04-011211710.1038/s41467-021-22696-xNeural network based 3D tracking with a graphene transparent focal stack imaging systemDehui Zhang0Zhen Xu1Zhengyu Huang2Audrey Rose Gutierrez3Cameron J. Blocker4Che-Hung Liu5Miao-Bin Lien6Gong Cheng7Zhe Liu8Il Yong Chun9Jeffrey A. Fessler10Zhaohui Zhong11Theodore B. Norris12Department of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering, University of Hawai’i at ManoaDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganTransparent 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.https://doi.org/10.1038/s41467-021-22696-x
spellingShingle 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
Nature Communications
title 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_short 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
url https://doi.org/10.1038/s41467-021-22696-x
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