DIVA: Natural Navigation inside 3D Images Using Virtual Reality
In: ISSN: 0022-2836, 2020
Online
academicJournal
Zugriff:
International audience ; 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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DIVA: Natural Navigation inside 3D Images Using Virtual Reality
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| Autor/in / Beteiligte Person: | El Beheiry, Mohamed ; Godard, Charlotte ; Caporal, Cĺement ; Marcon, Valentin ; Ostertag, Cecilia ; Sliti, Oumaima ; Doutreligne, Śebastien ; Fournier, Sephane ; Hajj, Bassam ; Dahan, Maxime ; Masson, Jean-Baptiste ; (PCC), Physico-Chimie-Curie ; Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Curie Paris -Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS) ; Décision et processus Bayesiens - Decision and Bayesian Computation ; Institut Pasteur Paris (IP)-Centre National de la Recherche Scientifique (CNRS) ; We acknowledge funding from the Institut Pasteur (J.B.M), The Institut Curie (M.D.), Paris Science Lettres (M.D., J.B.M.) the sponsorship of CRPCEN (J.B.M), the sponsorship of Gilead-Science (J.B.M.), sponsorship of the fondation EDF (J.B.M.), the ANR-17-CE23-0016 TRamWAy (J.B.M),the INCEPTION project (PIA/ANR-16-CONV-0005, OG) (J.B.M), the ”Investissements d’avenir” program under the management of Agence Nationale de la Recherche, reference ANR-19-P3IA-0001 (PRAIRIE 3IA Institute). ; We thank Kurt Sailor (Institut Pasteur), Richard Weinberg (University of North Carolina), Thomas Rubin and Jean-Ren Huynh (Collège de France) for the image datasets provided to generate the figures ; We thank all the research teams from Institut Curie, Institut Pasteur, Collège de France who tested the DIVA software and provided feedbacks that have strongly influence the development of the software. ; ANR-16-CONV-0005,INCEPTION,Institut Convergences pour l'étude de l'Emergence des Pathologies au Travers des Individus et des populatiONs(2016) ; ANR-17-CE23-0016,TRamWAy,L'Analyseur Automatique de Marches Aléatoires Biomoléculaires: La Science des molécules uniques à l'époque des données massives(2017) ; ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019) |
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| Zeitschrift: | ISSN: 0022-2836, 2020 |
| Veröffentlichung: | HAL CCSD ; Elsevier, 2020 |
| Medientyp: | academicJournal |
| DOI: | 10.1016/j.jmb.2020.05.026 |
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