Precise segmentation of densely interweaving neuron clusters using G-Cut

Most neuronal reconstruction software can automatically trace single neuronal morphologies but tracing multiple, densely interwoven neurons is much more challenging. Here the authors develop G-Cut, a computational approach for accurate segmentation of densely interconnected neuron clusters.

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Autores principales:	Rui Li, Muye Zhu, Junning Li, Michael S. Bienkowski, Nicholas N. Foster, Hanpeng Xu, Tyler Ard, Ian Bowman, Changle Zhou, Matthew B. Veldman, X. William Yang, Houri Hintiryan, Junsong Zhang, Hong-Wei Dong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/23743cd1ee8540e88902866335c58b30
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spelling	oai:doaj.org-article:23743cd1ee8540e88902866335c58b302021-12-02T15:35:28ZPrecise segmentation of densely interweaving neuron clusters using G-Cut10.1038/s41467-019-09515-02041-1723https://doaj.org/article/23743cd1ee8540e88902866335c58b302019-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09515-0https://doaj.org/toc/2041-1723Most neuronal reconstruction software can automatically trace single neuronal morphologies but tracing multiple, densely interwoven neurons is much more challenging. Here the authors develop G-Cut, a computational approach for accurate segmentation of densely interconnected neuron clusters.Rui LiMuye ZhuJunning LiMichael S. BienkowskiNicholas N. FosterHanpeng XuTyler ArdIan BowmanChangle ZhouMatthew B. VeldmanX. William YangHouri HintiryanJunsong ZhangHong-Wei DongNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Rui Li Muye Zhu Junning Li Michael S. Bienkowski Nicholas N. Foster Hanpeng Xu Tyler Ard Ian Bowman Changle Zhou Matthew B. Veldman X. William Yang Houri Hintiryan Junsong Zhang Hong-Wei Dong Precise segmentation of densely interweaving neuron clusters using G-Cut
description	Most neuronal reconstruction software can automatically trace single neuronal morphologies but tracing multiple, densely interwoven neurons is much more challenging. Here the authors develop G-Cut, a computational approach for accurate segmentation of densely interconnected neuron clusters.
format	article
author	Rui Li Muye Zhu Junning Li Michael S. Bienkowski Nicholas N. Foster Hanpeng Xu Tyler Ard Ian Bowman Changle Zhou Matthew B. Veldman X. William Yang Houri Hintiryan Junsong Zhang Hong-Wei Dong
author_facet	Rui Li Muye Zhu Junning Li Michael S. Bienkowski Nicholas N. Foster Hanpeng Xu Tyler Ard Ian Bowman Changle Zhou Matthew B. Veldman X. William Yang Houri Hintiryan Junsong Zhang Hong-Wei Dong
author_sort	Rui Li
title	Precise segmentation of densely interweaving neuron clusters using G-Cut
title_short	Precise segmentation of densely interweaving neuron clusters using G-Cut
title_full	Precise segmentation of densely interweaving neuron clusters using G-Cut
title_fullStr	Precise segmentation of densely interweaving neuron clusters using G-Cut
title_full_unstemmed	Precise segmentation of densely interweaving neuron clusters using G-Cut
title_sort	precise segmentation of densely interweaving neuron clusters using g-cut
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/23743cd1ee8540e88902866335c58b30
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Precise segmentation of densely interweaving neuron clusters using G-Cut

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