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arXiv · 2507.03170

ASCRIBE-XR: Virtual Reality for Visualization of Scientific Imagery

Ronald J. Pandolfi·Jeffrey J. Donatelli·Julian Todd·Daniela Ushizima
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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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Ronald J. Pandolfi, Jeffrey J. Donatelli, Julian Todd, Daniela Ushizima. 2025-07-03. ASCRIBE-XR: Virtual Reality for Visualization of Scientific Imagery. https://arxiv.org/abs/2507.03170

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