Effective automated pipeline for 3D reconstruction of synapses based on deep learning

BACKGROUND: The locations and shapes of synapses are important in reconstructing connectomes and analyzing synaptic plasticity. However, current synapse detection and segmentation methods are still not adequate for accurately acquiring the synaptic connectivity, and they cannot effectively alleviate...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiao, Chi, Li, Weifu, Deng, Hao, Chen, Xi, Yang, Yang, Xie, Qiwei, Han, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044049/
https://www.ncbi.nlm.nih.gov/pubmed/30005590
http://dx.doi.org/10.1186/s12859-018-2232-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044049/
https://www.ncbi.nlm.nih.gov/pubmed/30005590
http://dx.doi.org/10.1186/s12859-018-2232-0

Ejemplares similares