{"ID":2898930,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.03170","arxiv_id":"2507.03170","title":"ASCRIBE-XR: Virtual Reality for Visualization of Scientific Imagery","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.","short_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 i...","url_abs":"https://arxiv.org/abs/2507.03170","url_pdf":"https://arxiv.org/pdf/2507.03170v1","authors":"[\"Ronald J. Pandolfi\",\"Jeffrey J. Donatelli\",\"Julian Todd\",\"Daniela Ushizima\"]","published":"2025-07-03T20:52:40Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"cs.GR\"]","methods":"[\"LoRA\"]","has_code":false}