Automated classification of synaptic vesicles in electron tomograms of C. elegans using machine learning

Synaptic vesicles (SVs) are a key component of neuronal signaling and fulfil different roles depending on their composition. In electron micrograms of neurites, two types of vesicles can be distinguished by morphological criteria, the classical “clear core” vesicles (CCV) and the typically larger “d...

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Detalles Bibliográficos
Autores principales: Kaltdorf, Kristin Verena, Theiss, Maria, Markert, Sebastian Matthias, Zhen, Mei, Dandekar, Thomas, Stigloher, Christian, Kollmannsberger, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175533/
https://www.ncbi.nlm.nih.gov/pubmed/30296290
http://dx.doi.org/10.1371/journal.pone.0205348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175533/
https://www.ncbi.nlm.nih.gov/pubmed/30296290
http://dx.doi.org/10.1371/journal.pone.0205348

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