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DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots
We present a software platform for reconstructing and analyzing the growth of a plant root system from a time-series of 3D voxelized shapes. It aligns the shapes with each other, constructs a geometric graph representation together with the function that records the time of growth, and organizes the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452513/ https://www.ncbi.nlm.nih.gov/pubmed/26030757 http://dx.doi.org/10.1371/journal.pone.0127657 |
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author | Symonova, Olga Topp, Christopher N. Edelsbrunner, Herbert |
author_facet | Symonova, Olga Topp, Christopher N. Edelsbrunner, Herbert |
author_sort | Symonova, Olga |
collection | PubMed |
description | We present a software platform for reconstructing and analyzing the growth of a plant root system from a time-series of 3D voxelized shapes. It aligns the shapes with each other, constructs a geometric graph representation together with the function that records the time of growth, and organizes the branches into a hierarchy that reflects the order of creation. The software includes the automatic computation of structural and dynamic traits for each root in the system enabling the quantification of growth on fine-scale. These are important advances in plant phenotyping with applications to the study of genetic and environmental influences on growth. |
format | Online Article Text |
id | pubmed-4452513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44525132015-06-09 DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots Symonova, Olga Topp, Christopher N. Edelsbrunner, Herbert PLoS One Research Article We present a software platform for reconstructing and analyzing the growth of a plant root system from a time-series of 3D voxelized shapes. It aligns the shapes with each other, constructs a geometric graph representation together with the function that records the time of growth, and organizes the branches into a hierarchy that reflects the order of creation. The software includes the automatic computation of structural and dynamic traits for each root in the system enabling the quantification of growth on fine-scale. These are important advances in plant phenotyping with applications to the study of genetic and environmental influences on growth. Public Library of Science 2015-06-01 /pmc/articles/PMC4452513/ /pubmed/26030757 http://dx.doi.org/10.1371/journal.pone.0127657 Text en © 2015 Symonova et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Symonova, Olga Topp, Christopher N. Edelsbrunner, Herbert DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots |
title | DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots |
title_full | DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots |
title_fullStr | DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots |
title_full_unstemmed | DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots |
title_short | DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots |
title_sort | dynamicroots: a software platform for the reconstruction and analysis of growing plant roots |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452513/ https://www.ncbi.nlm.nih.gov/pubmed/26030757 http://dx.doi.org/10.1371/journal.pone.0127657 |
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