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DIVA: Natural Navigation Inside 3D Images Using Virtual Reality.
El Beheiry, Mohamed; Godard, Charlotte; Caporal, Clément; Marcon, Valentin; Ostertag, Cécilia; Sliti, Oumaima; Doutreligne, Sébastien; Fournier, Stéphane; Hajj, Bassam; Dahan, Maxime; Masson, Jean-Baptiste.
Afiliação
  • El Beheiry M; Physico-Chimie Curie, Institut Curie, Paris Sciences Lettres, CNRS UMR 168, Universit́e Pierre et Marie Curie, Paris 6, Paris, France; Decision and Bayesian Computation, USR 3756 (C3BI/DBC) & Neuroscience Department, Institut Pasteur & CNRS, Paris, France. Electronic address: mohamed.elbehe
  • Godard C; Decision and Bayesian Computation, USR 3756 (C3BI/DBC) & Neuroscience Department, Institut Pasteur & CNRS, Paris, France.
  • Caporal C; Physico-Chimie Curie, Institut Curie, Paris Sciences Lettres, CNRS UMR 168, Universit́e Pierre et Marie Curie, Paris 6, Paris, France.
  • Marcon V; Decision and Bayesian Computation, USR 3756 (C3BI/DBC) & Neuroscience Department, Institut Pasteur & CNRS, Paris, France.
  • Ostertag C; Physico-Chimie Curie, Institut Curie, Paris Sciences Lettres, CNRS UMR 168, Universit́e Pierre et Marie Curie, Paris 6, Paris, France.
  • Sliti O; Decision and Bayesian Computation, USR 3756 (C3BI/DBC) & Neuroscience Department, Institut Pasteur & CNRS, Paris, France.
  • Doutreligne S; Decision and Bayesian Computation, USR 3756 (C3BI/DBC) & Neuroscience Department, Institut Pasteur & CNRS, Paris, France.
  • Fournier S; Decision and Bayesian Computation, USR 3756 (C3BI/DBC) & Neuroscience Department, Institut Pasteur & CNRS, Paris, France.
  • Hajj B; Physico-Chimie Curie, Institut Curie, Paris Sciences Lettres, CNRS UMR 168, Universit́e Pierre et Marie Curie, Paris 6, Paris, France.
  • Dahan M; Physico-Chimie Curie, Institut Curie, Paris Sciences Lettres, CNRS UMR 168, Universit́e Pierre et Marie Curie, Paris 6, Paris, France.
  • Masson JB; Decision and Bayesian Computation, USR 3756 (C3BI/DBC) & Neuroscience Department, Institut Pasteur & CNRS, Paris, France. Electronic address: jean-baptiste.masson@pasteur.fr.
J Mol Biol ; 432(16): 4745-4749, 2020 07 24.
Article em En | MEDLINE | ID: mdl-32512003
ABSTRACT
As three-dimensional microscopy becomes commonplace in biological research, there is an increasing need for researchers to be able to view experimental image stacks in a natural three-dimensional viewing context. Through stereoscopy and motion tracking, commercial virtual reality headsets provide a solution to this important visualization challenge by allowing researchers to view volumetric objects in an entirely intuitive fashion. With this motivation, we present DIVA, a user-friendly software tool that automatically creates detailed three-dimensional reconstructions of raw experimental image stacks that are integrated in virtual reality. In DIVA's immersive virtual environment, users can view, manipulate and perform volumetric measurements on their microscopy images as they would to real physical objects. In contrast to similar solutions, our software provides high-quality volume rendering with native TIFF file compatibility. We benchmark the software with diverse image types including those generated by confocal, light-sheet and electron microscopy. DIVA is available at https//diva.pasteur.fr and will be regularly updated.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Realidade Virtual Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Realidade Virtual Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article