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Four-dimensional imaging with virtual reality to quantitatively explore jigsaw puzzle-like morphogenesis of Arabidopsis cotyledon pavement cells
In most dicotyledonous plants, leaf pavement cells exhibit complex jigsaw puzzle-like cell morphogenesis during leaf expansion. Although detailed molecular biological information and mathematical modeling of this jigsaw puzzle-like cell morphogenesis are now available, a full understanding of this p...
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Published in: | Plant Biotechnology 2020/12/25, Vol.37(4), pp.429-435 |
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description | In most dicotyledonous plants, leaf pavement cells exhibit complex jigsaw puzzle-like cell morphogenesis during leaf expansion. Although detailed molecular biological information and mathematical modeling of this jigsaw puzzle-like cell morphogenesis are now available, a full understanding of this process remains elusive. Recent reports have highlighted the importance of three-dimensional (3D) structures (i.e., anticlinal and periclinal cell wall) in understanding the mechanical models that describe this morphogenetic process. We believe that it is important to acquire 3D shapes of pavement cells over time, i.e., acquire and analyze four-dimensional (4D) information when studying the relationship between mechanical modeling and simulations and the actual cell shape. In this report, we have developed a framework to capture and analyze 4D morphological information of Arabidopsis thaliana cotyledon pavement cells by using both direct water immersion observations and computational image analyses, including segmentation, surface modeling, virtual reality and morphometry. The 4D cell models allowed us to perform time-lapse 3D morphometrical analysis, providing detailed quantitative information about changes in cell growth rate and shape, with cellular complexity observed to increase during cell growth. The framework should enable analysis of various phenotypes (e.g., mutants) in greater detail, especially in the 3D deformation of the cotyledon surface, and evaluation of theoretical models that describe pavement cell morphogenesis using computational simulations. Additionally, our accurate and high-throughput acquisition of growing cell structures should be suitable for use in generating in silico model cell structures. |
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Although detailed molecular biological information and mathematical modeling of this jigsaw puzzle-like cell morphogenesis are now available, a full understanding of this process remains elusive. Recent reports have highlighted the importance of three-dimensional (3D) structures (i.e., anticlinal and periclinal cell wall) in understanding the mechanical models that describe this morphogenetic process. We believe that it is important to acquire 3D shapes of pavement cells over time, i.e., acquire and analyze four-dimensional (4D) information when studying the relationship between mechanical modeling and simulations and the actual cell shape. In this report, we have developed a framework to capture and analyze 4D morphological information of Arabidopsis thaliana cotyledon pavement cells by using both direct water immersion observations and computational image analyses, including segmentation, surface modeling, virtual reality and morphometry. The 4D cell models allowed us to perform time-lapse 3D morphometrical analysis, providing detailed quantitative information about changes in cell growth rate and shape, with cellular complexity observed to increase during cell growth. The framework should enable analysis of various phenotypes (e.g., mutants) in greater detail, especially in the 3D deformation of the cotyledon surface, and evaluation of theoretical models that describe pavement cell morphogenesis using computational simulations. 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Although detailed molecular biological information and mathematical modeling of this jigsaw puzzle-like cell morphogenesis are now available, a full understanding of this process remains elusive. Recent reports have highlighted the importance of three-dimensional (3D) structures (i.e., anticlinal and periclinal cell wall) in understanding the mechanical models that describe this morphogenetic process. We believe that it is important to acquire 3D shapes of pavement cells over time, i.e., acquire and analyze four-dimensional (4D) information when studying the relationship between mechanical modeling and simulations and the actual cell shape. In this report, we have developed a framework to capture and analyze 4D morphological information of Arabidopsis thaliana cotyledon pavement cells by using both direct water immersion observations and computational image analyses, including segmentation, surface modeling, virtual reality and morphometry. The 4D cell models allowed us to perform time-lapse 3D morphometrical analysis, providing detailed quantitative information about changes in cell growth rate and shape, with cellular complexity observed to increase during cell growth. The framework should enable analysis of various phenotypes (e.g., mutants) in greater detail, especially in the 3D deformation of the cotyledon surface, and evaluation of theoretical models that describe pavement cell morphogenesis using computational simulations. Additionally, our accurate and high-throughput acquisition of growing cell structures should be suitable for use in generating in silico model cell structures.</description><subject>4D imaging</subject><subject>Biological models (mathematics)</subject><subject>Cell culture</subject><subject>Cell growth</subject><subject>cell morphometry</subject><subject>Cell size</subject><subject>Cell walls</subject><subject>Complexity</subject><subject>Computer applications</subject><subject>Dimensional analysis</subject><subject>Growth rate</subject><subject>image analysis</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>jigsaw puzzle-like cell morphogenesis</subject><subject>Leaves</subject><subject>Mathematical models</subject><subject>Morphogenesis</subject><subject>Morphometry</subject><subject>Original Paper</subject><subject>Pavements</subject><subject>Phenotypes</subject><subject>Plant cells</subject><subject>Virtual reality</subject><subject>Water immersion</subject><issn>1342-4580</issn><issn>1347-6114</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNptUdtq3DAQNaWlubS_UAR56Yu3smT5QqEQQtMUAqXQPouxPba1lS1HkjdxvqKfXDmbLL29jKTRmTNzzkTRWUI3QiTJu0nD6CtlPNb9aLTplg2jG5pRAc-i44SneZwlSfr84c7iVBT0KDpxbkspEwllL6MjzgtBU06Po5-XZrZxowYcnTIjaKIG6NTYkVvle7JT1s8haRG08gvxhtzMob3y4NUO9ULwbtLGItmqzsEtmeb7e42xVj-QDMZOvelwRKccMS05t1CpxkzrszZ-0diYkUyww9Dekxq1dq-iFy1oh68fz9Po--XHbxdX8fWXT58vzq_jWpS5j9uywiJlrCrKLCsLKKoQg6KsKBmnIHjS5hRzABaygpZV1iY1A1E1PCswF_w0-rDnneZqwKYOA1jQcrJBv12kASX__BlVLzuzkwUNDlMWCN4-ElhzM6PzclBulQAjmtnJ4DXLecbzPEDP_oJug-vB7IBK81RkomAr4fs9qrbGOYvtYZiEynXz8t_NS0blw-ZD9Zvf9Rxqn1YdAF_3gK3z0OEBANarWuP_yHku0zU8NTlg6x6sxJH_Ammn0_0</recordid><startdate>20201225</startdate><enddate>20201225</enddate><creator>Higaki, Takumi</creator><creator>Mizuno, Hidenobu</creator><general>Japanese Society for Plant Biotechnology</general><general>Japan Science and Technology Agency</general><general>Japanese Society for Plant Cell and Molecular Biology</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20201225</creationdate><title>Four-dimensional imaging with virtual reality to quantitatively explore jigsaw puzzle-like morphogenesis of Arabidopsis cotyledon pavement cells</title><author>Higaki, Takumi ; Mizuno, Hidenobu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c597t-f9be8422b896698a8b698430689230a531f70e7aa2843509b6f1c2a5bd368e753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>4D imaging</topic><topic>Biological models (mathematics)</topic><topic>Cell culture</topic><topic>Cell growth</topic><topic>cell morphometry</topic><topic>Cell size</topic><topic>Cell walls</topic><topic>Complexity</topic><topic>Computer applications</topic><topic>Dimensional analysis</topic><topic>Growth rate</topic><topic>image analysis</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>jigsaw puzzle-like cell morphogenesis</topic><topic>Leaves</topic><topic>Mathematical models</topic><topic>Morphogenesis</topic><topic>Morphometry</topic><topic>Original Paper</topic><topic>Pavements</topic><topic>Phenotypes</topic><topic>Plant cells</topic><topic>Virtual reality</topic><topic>Water immersion</topic><toplevel>online_resources</toplevel><creatorcontrib>Higaki, Takumi</creatorcontrib><creatorcontrib>Mizuno, Hidenobu</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Plant Biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Higaki, Takumi</au><au>Mizuno, Hidenobu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Four-dimensional imaging with virtual reality to quantitatively explore jigsaw puzzle-like morphogenesis of Arabidopsis cotyledon pavement cells</atitle><jtitle>Plant Biotechnology</jtitle><addtitle>Plant Biotechnol (Tokyo)</addtitle><date>2020-12-25</date><risdate>2020</risdate><volume>37</volume><issue>4</issue><spage>429</spage><epage>435</epage><pages>429-435</pages><issn>1342-4580</issn><eissn>1347-6114</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>In most dicotyledonous plants, leaf pavement cells exhibit complex jigsaw puzzle-like cell morphogenesis during leaf expansion. 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The 4D cell models allowed us to perform time-lapse 3D morphometrical analysis, providing detailed quantitative information about changes in cell growth rate and shape, with cellular complexity observed to increase during cell growth. The framework should enable analysis of various phenotypes (e.g., mutants) in greater detail, especially in the 3D deformation of the cotyledon surface, and evaluation of theoretical models that describe pavement cell morphogenesis using computational simulations. Additionally, our accurate and high-throughput acquisition of growing cell structures should be suitable for use in generating in silico model cell structures.</abstract><cop>Japan</cop><pub>Japanese Society for Plant Biotechnology</pub><pmid>33850430</pmid><doi>10.5511/plantbiotechnology.20.0605a</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 4D imaging Biological models (mathematics) Cell culture Cell growth cell morphometry Cell size Cell walls Complexity Computer applications Dimensional analysis Growth rate image analysis Image processing Image segmentation jigsaw puzzle-like cell morphogenesis Leaves Mathematical models Morphogenesis Morphometry Original Paper Pavements Phenotypes Plant cells Virtual reality Water immersion |
title | Four-dimensional imaging with virtual reality to quantitatively explore jigsaw puzzle-like morphogenesis of Arabidopsis cotyledon pavement cells |
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