Nature Communications (Apr 2019)
Precise segmentation of densely interweaving neuron clusters using G-Cut
- 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
Affiliations
- Rui Li
- Fujian Key Laboratory of Brain-Inspired Computing Technique and Applications, Department of Cognitive Science, School of Informatics, Xiamen University
- Muye Zhu
- Center for Integrative Connectomics, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
- Junning Li
- Center for Integrative Connectomics, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
- Michael S. Bienkowski
- Center for Integrative Connectomics, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
- Nicholas N. Foster
- Center for Integrative Connectomics, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
- Hanpeng Xu
- Center for Integrative Connectomics, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
- Tyler Ard
- Laboratory of Neuroimaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
- Ian Bowman
- Center for Integrative Connectomics, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
- Changle Zhou
- Fujian Key Laboratory of Brain-Inspired Computing Technique and Applications, Department of Cognitive Science, School of Informatics, Xiamen University
- Matthew B. Veldman
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles
- X. William Yang
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles
- Houri Hintiryan
- Center for Integrative Connectomics, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
- Junsong Zhang
- Fujian Key Laboratory of Brain-Inspired Computing Technique and Applications, Department of Cognitive Science, School of Informatics, Xiamen University
- Hong-Wei Dong
- Center for Integrative Connectomics, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
- DOI
- https://doi.org/10.1038/s41467-019-09515-0
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 12
Abstract
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.
