Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Genuage: visualizing and analyzing multidimensional point cloud data in virtual reality

Résumé : The quantity of experimentally recorded point cloud data, such generated in single-molecule experiments, is increasing continuously in both size and dimension. Gaining an intuitive understanding of the data and facilitating multi-dimensional data analysis remains a challenge. It is especially challenging when static distribution properties are not predictive of dynamical properties. Here, we report a new open-source software platform, Genuage, that enables the easy perception, interaction and analysis of complex multidimensional point cloud datasets by leveraging virtual reality. We illustrate the benefit of the Genuage with examples of three-dimensional static and dynamic localization microscopy datasets, as well as some synthetic datasets. Genuage has a large breadth of usage modes, due to its compatibility with arbitrary multidimensional data types extending beyond the single-molecule research community.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : jean-baptiste masson Connect in order to contact the contributor
Submitted on : Wednesday, June 17, 2020 - 4:55:27 PM
Last modification on : Tuesday, April 12, 2022 - 4:40:02 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License



Thomas Blanc, Mohamed El Beheiry, Jean-Baptiste Masson, Bassam Hajj. Genuage: visualizing and analyzing multidimensional point cloud data in virtual reality. 2020. ⟨pasteur-02872314⟩



Record views


Files downloads