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Related Experiment Video

Updated: Dec 19, 2025

Photorealistic Learned Landscapes for Augmented Reality

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.

Journal of Molecular Biology

|June 9, 2020

Summary

This summary is machine-generated.

Researchers can now visualize 3D microscopy data immersively using DIVA software. This tool integrates virtual reality for intuitive viewing and manipulation of volumetric image stacks, enhancing biological research visualization.

Keywords:

data treatment data visualization image processing microscopy virtual reality

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Area of Science:

Biological imaging
Computational biology
Virtual reality applications

Background:

Three-dimensional microscopy is increasingly prevalent in biological research.
Effective visualization of complex volumetric image data is a significant challenge.
Virtual reality (VR) offers an intuitive solution for 3D data exploration.

Purpose of the Study:

To present DIVA, a user-friendly software tool for 3D microscopy image visualization.
To enable researchers to view and manipulate experimental image stacks in an immersive VR environment.
To facilitate volumetric measurements within a natural 3D context.

Main Methods:

Development of DIVA software integrating raw experimental image stacks with VR.
Implementation of stereoscopy and motion tracking for intuitive 3D viewing.
High-quality volume rendering with native TIFF file compatibility.

Main Results:

DIVA provides a user-friendly interface for viewing and manipulating 3D microscopy data.
The software enables volumetric measurements within an immersive virtual environment.
DIVA demonstrates high-quality volume rendering across diverse microscopy image types (confocal, light-sheet, electron microscopy).

Conclusions:

DIVA offers an effective solution for visualizing and analyzing 3D microscopy data in virtual reality.
The software enhances biological research by providing intuitive interaction with volumetric image stacks.
DIVA supports a wide range of microscopy data, improving accessibility and utility for researchers.