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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2019-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-09337-0 |
| _version_ | 1818751389468196864 |
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| 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 |
| collection | DOAJ |
| 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 |
| first_indexed | 2024-12-18T04:34:48Z |
| format | Article |
| id | doaj.art-fcb3e4a8bb354bfc924d12f963256112 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-18T04:34:48Z |
| publishDate | 2019-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-fcb3e4a8bb354bfc924d12f9632561122022-12-21T21:20:53ZengNature PortfolioNature Communications2041-17232019-03-0110111410.1038/s41467-019-09337-0Computational geometry analysis of dendritic spines by structured illumination microscopyYutaro Kashiwagi0Takahito Higashi1Kazuki Obashi2Yuka Sato3Noboru H. Komiyama4Seth G. N. Grant5Shigeo Okabe6Department of Cellular Neurobiology, Graduate School of Medicine, the University of TokyoDepartment of Cellular Neurobiology, Graduate School of Medicine, the University of TokyoDepartment of Cellular Neurobiology, Graduate School of Medicine, the University of TokyoDepartment of Cellular Neurobiology, Graduate School of Medicine, the University of TokyoGenes to Cognition Program, Centre for Clinical Brain Sciences, University of EdinburghGenes to Cognition Program, Centre for Clinical Brain Sciences, University of EdinburghDepartment of Cellular Neurobiology, Graduate School of Medicine, the University of TokyoWe 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 featureshttps://doi.org/10.1038/s41467-019-09337-0 |
| spellingShingle | 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 Nature Communications |
| title | 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_short | Computational geometry analysis of dendritic spines by structured illumination microscopy |
| title_sort | computational geometry analysis of dendritic spines by structured illumination microscopy |
| url | https://doi.org/10.1038/s41467-019-09337-0 |
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