Skip to Main content Skip to Navigation
New interface
Journal articles

Challenges of intracellular visualization using virtual and augmented reality

Abstract : Microscopy image observation is commonly performed on 2D screens, which limits human capacities to grasp volumetric, complex, and discrete biological dynamics. With the massive production of multidimensional images (3D + time, multi-channels) and derived images (e.g., restored images, segmentation maps, and object tracks), scientists need appropriate visualization and navigation methods to better apprehend the amount of information in their content. New modes of visualization have emerged, including virtual reality (VR)/ augmented reality (AR) approaches which should allow more accurate analysis and exploration of large time series of volumetric images, such as those produced by the latest 3D + time fluorescence microscopy. They include integrated algorithms that allow researchers to interactively explore complex spatiotemporal objects at the scale of single cells or multicellular systems, almost in a real time manner. In practice, however, immersion of the user within 3D + time microscopy data represents both a paradigm shift in human-image interaction and an acculturation challenge, for the concerned community. To promote a broader adoption of these approaches by biologists, further dialogue is needed between the bioimaging community and the VR&AR developers.
Complete list of metadata


https://hal.inria.fr/hal-03790274
Contributor : Ferran Argelaguet Sanz Connect in order to contact the contributor
Submitted on : Wednesday, September 28, 2022 - 1:58:07 PM
Last modification on : Wednesday, November 16, 2022 - 11:28:50 AM

Files

fbinf-02-997082.pdf
Publication funded by an institution

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Cesar Augusto Valades-Cruz, Ludovic Leconte, Gwendal Fouche, Thomas Blanc, Nathan van Hille, et al.. Challenges of intracellular visualization using virtual and augmented reality. Frontiers in Bioinformatics, 2022, 2, pp.997082:1-997082:9. ⟨10.3389/fbinf.2022.997082⟩. ⟨hal-03790274⟩

Share

Metrics

Record views

87

Files downloads

22