2020
DOI: 10.1016/j.jmb.2020.05.026
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DIVA: Natural Navigation Inside 3D Images Using Virtual Reality

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 autom… Show more

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Cited by 19 publications
(15 citation statements)
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“…The VR models of the patient's anatomy were generated using the DIVA software. 8,9 It was developed by using the popular Unity game engine and it includes two native interfaces: a desktop mode for volumetric viewing on a standard computer monitor and a VR mode to interact with medical images in an artificial environment through the use of a VR headset. The patient's imaging data were loaded directly from DICOM files and the volumetric renderings of the MRI are generated instantaneously by the software, without any human intervention.…”
Section: Virtual Realitymentioning
confidence: 99%
“…The VR models of the patient's anatomy were generated using the DIVA software. 8,9 It was developed by using the popular Unity game engine and it includes two native interfaces: a desktop mode for volumetric viewing on a standard computer monitor and a VR mode to interact with medical images in an artificial environment through the use of a VR headset. The patient's imaging data were loaded directly from DICOM files and the volumetric renderings of the MRI are generated instantaneously by the software, without any human intervention.…”
Section: Virtual Realitymentioning
confidence: 99%
“…While all these parameters could be defined within the VR interface, data visualization and analysis practices in the lab are often incompatible with long times passed within the VR environment. Hence, we developed a dynamic process where the user can switch from one interface to the other based on the specificity and complexity of the action, they wish to execute following the same design principles of DIVA ( El Beheiry et al, 2020 ). The VR interface allows visualization and navigation within the point cloud ( Figure 1 ; Supplementary Figure S3 ).…”
Section: Methodsmentioning
confidence: 99%
“…The reason for using an immersive setup lies in the inherent benefits that an observer gains from a stereoscopic projection of 3D data ( Dwyer et al, 2018 ). Recently, members of this consortium have introduced platforms generating volumetric reconstructions from stacks of 3D + t microscopic images and facilitating efficient visualization, selection of structures of interest and quantitative analysis [DIVA (el Beheiry et al, 2020 )] ( Figures 1B,C ; Supplementary Video S1 ), as well as to visualize and analyze point clouds in VR, particularly adapted to SMLM data [Genuage ( Blanc et al, 2020 )] ( Figures 1D,E ). In both tools, data are imported in their raw format and visualized in VR using custom shaders.…”
Section: Immersive Visualization Of 3d + Time Data and Analysismentioning
confidence: 99%
“…In Section 2 , we review some of the visualization methods on flat screens and summarize their respective advantages but also limitations, with a focus on the temporal dimension. While not exhaustively, in Section 3 , we then review a list of significant tools in VR, already published by co-authors of this perspective paper, Genuage ( Blanc et al, 2020 ) and Diva (el Beheiry et al, 2020 ). In Section 4 , we present augmented reality (AR) approaches, using MorphoNet and based on AR Foundation using the Unity3D Game engine or HoloTracks developed using Microsoft Hololens.…”
Section: Introductionmentioning
confidence: 99%
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