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Matrix description of the complete topology of three-dimensional cells
A new, efficient method based on a series of matrices is introduced to completely describe the detailed topology of individual domains and their topology evolution in three-dimensional cellular structures. With this approach, we found a lot of new topological grain forms which are never reported bef...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4861958/ https://www.ncbi.nlm.nih.gov/pubmed/27160500 http://dx.doi.org/10.1038/srep25877 |
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author | Xue, Weihua Wang, Hao Liu, Guoquan Meng, Li Xiang, Song Ma, Guang Li, Wenwen |
author_facet | Xue, Weihua Wang, Hao Liu, Guoquan Meng, Li Xiang, Song Ma, Guang Li, Wenwen |
author_sort | Xue, Weihua |
collection | PubMed |
description | A new, efficient method based on a series of matrices is introduced to completely describe the detailed topology of individual domains and their topology evolution in three-dimensional cellular structures. With this approach, we found a lot of new topological grain forms which are never reported before, i.e., there are total 8 and 32 topological forms for 7- and 8-faced grains respectively, other than the reported 7 and 27. This method is proved to be a practical tool to predict all possible grain forms efficiently. Moreover, a connectivity index of grain forms serves as a new convenient differentiator of different multicellular structures. |
format | Online Article Text |
id | pubmed-4861958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48619582016-05-23 Matrix description of the complete topology of three-dimensional cells Xue, Weihua Wang, Hao Liu, Guoquan Meng, Li Xiang, Song Ma, Guang Li, Wenwen Sci Rep Article A new, efficient method based on a series of matrices is introduced to completely describe the detailed topology of individual domains and their topology evolution in three-dimensional cellular structures. With this approach, we found a lot of new topological grain forms which are never reported before, i.e., there are total 8 and 32 topological forms for 7- and 8-faced grains respectively, other than the reported 7 and 27. This method is proved to be a practical tool to predict all possible grain forms efficiently. Moreover, a connectivity index of grain forms serves as a new convenient differentiator of different multicellular structures. Nature Publishing Group 2016-05-10 /pmc/articles/PMC4861958/ /pubmed/27160500 http://dx.doi.org/10.1038/srep25877 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Xue, Weihua Wang, Hao Liu, Guoquan Meng, Li Xiang, Song Ma, Guang Li, Wenwen Matrix description of the complete topology of three-dimensional cells |
title | Matrix description of the complete topology of three-dimensional cells |
title_full | Matrix description of the complete topology of three-dimensional cells |
title_fullStr | Matrix description of the complete topology of three-dimensional cells |
title_full_unstemmed | Matrix description of the complete topology of three-dimensional cells |
title_short | Matrix description of the complete topology of three-dimensional cells |
title_sort | matrix description of the complete topology of three-dimensional cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4861958/ https://www.ncbi.nlm.nih.gov/pubmed/27160500 http://dx.doi.org/10.1038/srep25877 |
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