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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Detalles Bibliográficos
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
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Acceso en línea:https://doaj.org/article/23743cd1ee8540e88902866335c58b30
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Descripción
Sumario: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.