TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain

Reconstructing the full shape of neurons is a major informatics challenge as it requires handling huge whole-brain imaging datasets. Here the authors present an open-source virtual reality annotation system for precise and efficient data production of neuronal shapes reconstructed from whole brains.

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Detalles Bibliográficos
Autores principales:	Yimin Wang, Qi Li, Lijuan Liu, Zhi Zhou, Zongcai Ruan, Lingsheng Kong, Yaoyao Li, Yun Wang, Ning Zhong, Renjie Chai, Xiangfeng Luo, Yike Guo, Michael Hawrylycz, Qingming Luo, Zhongze Gu, Wei Xie, Hongkui Zeng, Hanchuan Peng
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ce9a4d0ad20b4d9db384d05fc51ef648
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spelling	oai:doaj.org-article:ce9a4d0ad20b4d9db384d05fc51ef6482021-12-02T17:32:10ZTeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain10.1038/s41467-019-11443-y2041-1723https://doaj.org/article/ce9a4d0ad20b4d9db384d05fc51ef6482019-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11443-yhttps://doaj.org/toc/2041-1723Reconstructing the full shape of neurons is a major informatics challenge as it requires handling huge whole-brain imaging datasets. Here the authors present an open-source virtual reality annotation system for precise and efficient data production of neuronal shapes reconstructed from whole brains.Yimin WangQi LiLijuan LiuZhi ZhouZongcai RuanLingsheng KongYaoyao LiYun WangNing ZhongRenjie ChaiXiangfeng LuoYike GuoMichael HawrylyczQingming LuoZhongze GuWei XieHongkui ZengHanchuan PengNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yimin Wang Qi Li Lijuan Liu Zhi Zhou Zongcai Ruan Lingsheng Kong Yaoyao Li Yun Wang Ning Zhong Renjie Chai Xiangfeng Luo Yike Guo Michael Hawrylycz Qingming Luo Zhongze Gu Wei Xie Hongkui Zeng Hanchuan Peng TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain
description	Reconstructing the full shape of neurons is a major informatics challenge as it requires handling huge whole-brain imaging datasets. Here the authors present an open-source virtual reality annotation system for precise and efficient data production of neuronal shapes reconstructed from whole brains.
format	article
author	Yimin Wang Qi Li Lijuan Liu Zhi Zhou Zongcai Ruan Lingsheng Kong Yaoyao Li Yun Wang Ning Zhong Renjie Chai Xiangfeng Luo Yike Guo Michael Hawrylycz Qingming Luo Zhongze Gu Wei Xie Hongkui Zeng Hanchuan Peng
author_facet	Yimin Wang Qi Li Lijuan Liu Zhi Zhou Zongcai Ruan Lingsheng Kong Yaoyao Li Yun Wang Ning Zhong Renjie Chai Xiangfeng Luo Yike Guo Michael Hawrylycz Qingming Luo Zhongze Gu Wei Xie Hongkui Zeng Hanchuan Peng
author_sort	Yimin Wang
title	TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain
title_short	TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain
title_full	TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain
title_fullStr	TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain
title_full_unstemmed	TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain
title_sort	teravr empowers precise reconstruction of complete 3-d neuronal morphology in the whole brain
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/ce9a4d0ad20b4d9db384d05fc51ef648
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TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain

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