Related Experiment Video
Updated: Dec 19, 2025

Photorealistic Learned Landscapes for Augmented Reality
Published on: June 27, 2025
DIVA: Natural Navigation Inside 3D Images Using Virtual Reality
Mohamed El Beheiry1, Charlotte Godard2, Clément Caporal3
1Physico-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.
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.

