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BioinformaticsJournal of Molecular Biology
Peer-reviewed journal article

DIVA: natural navigation inside 3D images usingvirtual reality

Mohamed El BeheiryiD, Charlotte GodardiD, Clément CaporaliD, Valentin Marcon, Cécilia Ostertag, Oumaima Sliti, Sébastien Doutreligne, Stéphane FournieriD, Bassam HajjiD, Maxime DahaniD, Jean‐Baptiste MassoniD

Abstract

As three-dimensional microscopy becomes commonplace in biological re-search, 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 DIVAs 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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