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

Author

Listed:
  • Bruno Leggio

    (Univ Montpellier, CNRS
    Univ Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, Inria
    Univ Montpellier)

  • Julien Laussu

    (Univ Montpellier, CNRS)

  • Axel Carlier

    (CNRS, INPT, ENSEEIHT, University of Toulouse I and III)

  • Christophe Godin

    (Univ Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, Inria
    Univ Montpellier)

  • Patrick Lemaire

    (Univ Montpellier, CNRS
    Univ Montpellier)

  • Emmanuel Faure

    (Univ Montpellier, CNRS
    Univ Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, Inria
    Univ Montpellier
    CNRS, INPT, ENSEEIHT, University of Toulouse I and III)

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.

Suggested Citation

  • Bruno Leggio & Julien Laussu & Axel Carlier & Christophe Godin & Patrick Lemaire & Emmanuel Faure, 2019. "MorphoNet: an interactive online morphological browser to explore complex multi-scale data," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10668-1
    DOI: 10.1038/s41467-019-10668-1
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