Publications by authors named "Clement Caporal"
Experimentally recorded point cloud data, such as those generated by single-molecule localization microscopy, are continuously increasing in size and dimension. Gaining an intuitive understanding and facilitating the analysis of such multidimensional data remains challenging. Here we report a new open-source software platform, Genuage, that enables the easy perception of, interaction with and analysis of multidimensional point clouds in virtual reality.
View Article and Find Full Text PDFAs 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.
View Article and Find Full Text PDFArticle Synopsis
- Virtual reality (VR) has become more affordable and accessible, offering various options from simple smartphone inserts to advanced headsets for visualizing complex data.
- While VR enhances data visualization and navigation, its future in scientific research will likely focus on combining data treatment, human cognition, and automated algorithms.
- The authors suggest that VR may soon gain similar prominence in imaging data as machine learning currently enjoys, supporting this with examples of VR applications in research.