Random-Reaction-Seed Method for Automated Identification of Neurite Elongation and Branching

Conventional deterministic algorithms (i.e., skeletonization and edge-detection) lack robustness and sensitivity to reliably detect the neurite elongation and branching of low signal-to-noise-ratio microscopy images. Neurite outgrowth experiments produce an enormous number of images that require aut...

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Detalles Bibliográficos
Autores principales: Li, Alvason Zhenhua, Corey, Lawrence, Zhu, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393450/
https://www.ncbi.nlm.nih.gov/pubmed/30814668
http://dx.doi.org/10.1038/s41598-019-39962-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393450/
https://www.ncbi.nlm.nih.gov/pubmed/30814668
http://dx.doi.org/10.1038/s41598-019-39962-0

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