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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6175533/ https://ncbi.nlm.nih.gov/pubmed/30296290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0205348 |
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