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

Bruno Leggio 1, 2, 3, 4 Julien Laussu 2 Axel Carlier 5 Christophe Godin 1, 3, 4 Patrick Lemaire 2, 3 Emmanuel Faure 1, 2, 3, 5, 4, 6
1 MOSAIC - Simulation et Analyse de la morphogenèse in siliCo
Inria Grenoble - Rhône-Alpes
2 CRBM - Centre de recherche en Biologie Cellulaire
3 IBC - Institut de Biologie Computationnelle
4 RDP - Reproduction et développement des plantes
5 IRIT - Institut de recherche en informatique de Toulouse
6 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : 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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ENS-LYON | UNIV-MONTPELLIER | BS | MIPS | LIRMM | SMS | IBC | RDP | INRA | UNIV-TLSE2 | UNIV-LYON1 | UNIV-TLSE3 | INRIA | CNRS | ICARLIRMM | UT1-CAPITOLE | UDL

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Bruno Leggio, Julien Laussu, Axel Carlier, Christophe Godin, Patrick Lemaire, et al.. MorphoNet: an interactive online morphological browser to explore complex multi-scale data. Nature Communications, Nature Publishing Group, 2019, 10 (2812), pp.1-8. ⟨10.1038/s41467-019-10668-1⟩. ⟨hal-01938153⟩

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