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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Autores principales:	Yutaro Kashiwagi, Takahito Higashi, Kazuki Obashi, Yuka Sato, Noboru H. Komiyama, Seth G. N. Grant, Shigeo Okabe
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/fcb3e4a8bb354bfc924d12f963256112
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spelling	oai:doaj.org-article:fcb3e4a8bb354bfc924d12f9632561122021-12-02T17:02:18ZComputational geometry analysis of dendritic spines by structured illumination microscopy10.1038/s41467-019-09337-02041-1723https://doaj.org/article/fcb3e4a8bb354bfc924d12f9632561122019-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09337-0https://doaj.org/toc/2041-1723We 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 featuresYutaro KashiwagiTakahito HigashiKazuki ObashiYuka SatoNoboru H. KomiyamaSeth G. N. GrantShigeo OkabeNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yutaro Kashiwagi Takahito Higashi Kazuki Obashi Yuka Sato Noboru H. Komiyama Seth G. N. Grant Shigeo Okabe Computational geometry analysis of dendritic spines by structured illumination microscopy
description	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
format	article
author	Yutaro Kashiwagi Takahito Higashi Kazuki Obashi Yuka Sato Noboru H. Komiyama Seth G. N. Grant Shigeo Okabe
author_facet	Yutaro Kashiwagi Takahito Higashi Kazuki Obashi Yuka Sato Noboru H. Komiyama Seth G. N. Grant Shigeo Okabe
author_sort	Yutaro Kashiwagi
title	Computational geometry analysis of dendritic spines by structured illumination microscopy
title_short	Computational geometry analysis of dendritic spines by structured illumination microscopy
title_full	Computational geometry analysis of dendritic spines by structured illumination microscopy
title_fullStr	Computational geometry analysis of dendritic spines by structured illumination microscopy
title_full_unstemmed	Computational geometry analysis of dendritic spines by structured illumination microscopy
title_sort	computational geometry analysis of dendritic spines by structured illumination microscopy
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/fcb3e4a8bb354bfc924d12f963256112
work_keys_str_mv	AT yutarokashiwagi computationalgeometryanalysisofdendriticspinesbystructuredilluminationmicroscopy AT takahitohigashi computationalgeometryanalysisofdendriticspinesbystructuredilluminationmicroscopy AT kazukiobashi computationalgeometryanalysisofdendriticspinesbystructuredilluminationmicroscopy AT yukasato computationalgeometryanalysisofdendriticspinesbystructuredilluminationmicroscopy AT noboruhkomiyama computationalgeometryanalysisofdendriticspinesbystructuredilluminationmicroscopy AT sethgngrant computationalgeometryanalysisofdendriticspinesbystructuredilluminationmicroscopy AT shigeookabe computationalgeometryanalysisofdendriticspinesbystructuredilluminationmicroscopy
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Computational geometry analysis of dendritic spines by structured illumination microscopy

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