A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells
While cell shape is crucial for function and development of organisms, versatile frameworks for cell shape quantification, comparison, and classification remain underdeveloped. Here, the authors use a network-based framework for Arabidopsis leaf epidermal cell shape characterization and classificati...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-20730-y |
| _version_ | 1831637930721935360 |
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| author | Jacqueline Nowak Ryan Christopher Eng Timon Matz Matti Waack Staffan Persson Arun Sampathkumar Zoran Nikoloski |
| author_facet | Jacqueline Nowak Ryan Christopher Eng Timon Matz Matti Waack Staffan Persson Arun Sampathkumar Zoran Nikoloski |
| author_sort | Jacqueline Nowak |
| collection | DOAJ |
| description | While cell shape is crucial for function and development of organisms, versatile frameworks for cell shape quantification, comparison, and classification remain underdeveloped. Here, the authors use a network-based framework for Arabidopsis leaf epidermal cell shape characterization and classification. |
| first_indexed | 2024-12-19T07:01:22Z |
| format | Article |
| id | doaj.art-6c57c4e9f679446988e39139ca3a07c8 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-19T07:01:22Z |
| publishDate | 2021-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-6c57c4e9f679446988e39139ca3a07c82022-12-21T20:31:24ZengNature PortfolioNature Communications2041-17232021-01-0112111310.1038/s41467-020-20730-yA network-based framework for shape analysis enables accurate characterization of leaf epidermal cellsJacqueline Nowak0Ryan Christopher Eng1Timon Matz2Matti Waack3Staffan Persson4Arun Sampathkumar5Zoran Nikoloski6School of Biosciences, University of MelbournePlant Cell Biology and Microscopy, Max Planck Institute of Molecular Plant PhysiologyBioinformatics, Institute of Biochemistry and Biology, University of PotsdamBioinformatics, Institute of Biochemistry and Biology, University of PotsdamSchool of Biosciences, University of MelbournePlant Cell Biology and Microscopy, Max Planck Institute of Molecular Plant PhysiologyBioinformatics, Institute of Biochemistry and Biology, University of PotsdamWhile cell shape is crucial for function and development of organisms, versatile frameworks for cell shape quantification, comparison, and classification remain underdeveloped. Here, the authors use a network-based framework for Arabidopsis leaf epidermal cell shape characterization and classification.https://doi.org/10.1038/s41467-020-20730-y |
| spellingShingle | Jacqueline Nowak Ryan Christopher Eng Timon Matz Matti Waack Staffan Persson Arun Sampathkumar Zoran Nikoloski A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells Nature Communications |
| title | A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells |
| title_full | A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells |
| title_fullStr | A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells |
| title_full_unstemmed | A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells |
| title_short | A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells |
| title_sort | network based framework for shape analysis enables accurate characterization of leaf epidermal cells |
| url | https://doi.org/10.1038/s41467-020-20730-y |
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