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Automated Detection of Soma Location and Morphology in Neuronal Network Cultures
Automated identification of the primary components of a neuron and extraction of its sub-cellular features are essential steps in many quantitative studies of neuronal networks. The focus of this paper is the development of an algorithm for the automated detection of the location and morphology of s...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4390318/ https://ncbi.nlm.nih.gov/pubmed/25853656 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0121886 |
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