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Journal Articles Nature Communications Year : 2019

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

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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hal-01938153 , version 1 (28-06-2019)

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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, 2019, 10 (2812), pp.1-8. ⟨10.1038/s41467-019-10668-1⟩. ⟨hal-01938153⟩
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