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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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Библиографические подробности
Опубликовано в: :PLoS One
Главные авторы: Ozcan, Burcin, Negi, Pooran, Laezza, Fernanda, Papadakis, Manos, Labate, Demetrio
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2015
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Online-ссылка: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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