ASCRIBE-XR: Virtual Reality for Visualization of Scientific Imagery

July 03, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Ronald J. Pandolfi, Jeffrey J. Donatelli, Julian Todd, Daniela Ushizima arXiv ID 2507.03170 Category cs.HC: Human-Computer Interaction Cross-listed cs.GR Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
ASCRIBE-XR, a novel computational platform designed to facilitate the visualization and exploration of 3D volumetric data and mesh data in the context of synchrotron experiments, is described. Using Godot and PC-VR technologies, the platform enables users to dynamically load and manipulate 3D data sets to gain deeper insights into their research. The program's multi-user capabilities, enabled through WebRTC, and MQTT, allow multiple users to share data and visualize together in real-time, promoting a more interactive and engaging research experience. We describe the design and implementation of ASCRIBE-XR, highlighting its key features and capabilities. We will also discuss its utility in the context of synchrotron research, including examples of its application and potential benefits for the scientific community.
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