Cargando…
Automated and Accurate Detection of Soma Location and Surface Morphology in Large-Scale 3D Neuron Images
Automated and accurate localization and morphometry of somas in 3D neuron images is essential for quantitative studies of neural networks in the brain. However, previous methods are limited in obtaining the location and surface morphology of somas with variable size and uneven staining in large-scal...
Autores principales: | Yan, Cheng, Li, Anan, Zhang, Bin, Ding, Wenxiang, Luo, Qingming, Gong, Hui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3634810/ https://www.ncbi.nlm.nih.gov/pubmed/23638117 http://dx.doi.org/10.1371/journal.pone.0062579 |
Ejemplares similares
-
Automated Detection of Soma Location and Morphology in Neuronal Network Cultures
por: Ozcan, Burcin, et al.
Publicado: (2015) -
An Automated Three-Dimensional Detection and Segmentation Method for Touching Cells by Integrating Concave Points Clustering and Random Walker Algorithm
por: He, Yong, et al.
Publicado: (2014) -
A univocal definition of the neuronal soma morphology using Gaussian mixture models
por: Luengo-Sanchez, Sergio, et al.
Publicado: (2015) -
Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites
por: Li, Shiwei, et al.
Publicado: (2019) -
Active learning of neuron morphology for accurate automated tracing of neurites
por: Gala, Rohan, et al.
Publicado: (2014)