Computational geometry analysis of dendritic spines by structured illumination microscopy

We are currently short of methods that can extract objective parameters of dendritic spines useful for their categorization. Authors present in this study an automatic analytical pipeline for spine geometry using 3D-structured illumination microscopy, which can effectively extract many geometrical p...

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Auteurs principaux: Yutaro Kashiwagi, Takahito Higashi, Kazuki Obashi, Yuka Sato, Noboru H. Komiyama, Seth G. N. Grant, Shigeo Okabe
Format: article
Langue:EN
Publié: Nature Portfolio 2019
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Accès en ligne:https://doaj.org/article/fcb3e4a8bb354bfc924d12f963256112
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Résumé:We are currently short of methods that can extract objective parameters of dendritic spines useful for their categorization. Authors present in this study an automatic analytical pipeline for spine geometry using 3D-structured illumination microscopy, which can effectively extract many geometrical parameters of dendritic spines without bias and automatically categorize spine population based on their morphological features