MorphoNet: an interactive online morphological browser to explore complex multi-scale data

Powerful novel imaging and image-processing methods are revolutionizing many fields of biology, at scales ranging from the molecule to the functional organ. To support this big-data revolution, we develop a concept of generic web-based morphodynamic browser to interactively visualize complex image d...

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Autores principales: Leggio, Bruno, Laussu, Julien, Carlier, Axel, Godin, Christophe, Lemaire, Patrick, Faure, Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597584/
https://www.ncbi.nlm.nih.gov/pubmed/31249294
http://dx.doi.org/10.1038/s41467-019-10668-1
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author Leggio, Bruno
Laussu, Julien
Carlier, Axel
Godin, Christophe
Lemaire, Patrick
Faure, Emmanuel
author_facet Leggio, Bruno
Laussu, Julien
Carlier, Axel
Godin, Christophe
Lemaire, Patrick
Faure, Emmanuel
author_sort Leggio, Bruno
collection PubMed
description Powerful novel imaging and image-processing methods are revolutionizing many fields of biology, at scales ranging from the molecule to the functional organ. To support this big-data revolution, we develop a concept of generic web-based morphodynamic browser to interactively visualize complex image datasets, with applications in research and education. MorphoNet handles a broad range of natural or simulated morphological data, onto which quantitative geometric or genetic data can be projected.
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spelling pubmed-65975842019-07-01 MorphoNet: an interactive online morphological browser to explore complex multi-scale data Leggio, Bruno Laussu, Julien Carlier, Axel Godin, Christophe Lemaire, Patrick Faure, Emmanuel Nat Commun Article Powerful novel imaging and image-processing methods are revolutionizing many fields of biology, at scales ranging from the molecule to the functional organ. To support this big-data revolution, we develop a concept of generic web-based morphodynamic browser to interactively visualize complex image datasets, with applications in research and education. MorphoNet handles a broad range of natural or simulated morphological data, onto which quantitative geometric or genetic data can be projected. Nature Publishing Group UK 2019-06-27 /pmc/articles/PMC6597584/ /pubmed/31249294 http://dx.doi.org/10.1038/s41467-019-10668-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Leggio, Bruno
Laussu, Julien
Carlier, Axel
Godin, Christophe
Lemaire, Patrick
Faure, Emmanuel
MorphoNet: an interactive online morphological browser to explore complex multi-scale data
title MorphoNet: an interactive online morphological browser to explore complex multi-scale data
title_full MorphoNet: an interactive online morphological browser to explore complex multi-scale data
title_fullStr MorphoNet: an interactive online morphological browser to explore complex multi-scale data
title_full_unstemmed MorphoNet: an interactive online morphological browser to explore complex multi-scale data
title_short MorphoNet: an interactive online morphological browser to explore complex multi-scale data
title_sort morphonet: an interactive online morphological browser to explore complex multi-scale data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597584/
https://www.ncbi.nlm.nih.gov/pubmed/31249294
http://dx.doi.org/10.1038/s41467-019-10668-1
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