DIVA: Natural Navigation Inside 3D Images Using Virtual Reality

JOURNAL OF MOLECULAR BIOLOGY

卷:432

Article

El Beheiry, Mohamed^1,2  Caporal, Clement^1,2  Ostertag, Cecilia^1,2  Hajj, Bassam^1,2  Dahan, Maxime^1,2 

[1] Inst Curie, Universit & Pierre & Marie Curie, Paris Sci Lettres, Phys Chim Curie, CNRS UMR 168, F-6 Paris, France

[2] Univ Paris 06, Paris 6, CNRS, Inst Curie,Phys Chim Curie,UMR 168,Paris Sci Lett, Paris, France

关键词: virtual reality;    microscopy;    data visualization;    image processing;    data treatment;   

DOI  :  10.1016/j.jmb.2020.05.026

来源: Elsevier

【 摘 要 】

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. (C) 2020 Elsevier Ltd. All rights reserved.

【 授权许可】

Free