TY - GEN
T1 - NeuroVerse
T2 - 29th International ACM Conference on 3D Web Technology, Web3D 2024
AU - Calì, Corrado
AU - Agus, Marco
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/9/25
Y1 - 2024/9/25
N2 - We introduce NeuroVerse, a framework designed to support the immersive exploration of 3D nanometric-scale reconstructions of structural and ultrastructural neural or glial cellular processes of the central nervous system. Utilizing image stacks acquired through volume electron microscopy, NeuroVerse reconstructs detailed 3D mesh models and integrates absorption signals, enabling deployment within a Metaverse environment. This framework facilitates innovative educational and collaborative analysis experiences, particularly in neuroanatomy and neuroscience. We present a comprehensive methodology, including a pipeline for 3D model creation, segmentation, mesh reconstruction, and heatmap computation, optimized for the Spatial.io ecosystem. Our contributions include the development of a virtual anatomy lab for immersive neuroanatomy education and collaborative sessions focusing on morphology spatial correlation and neuroenergetic absorption models. Preliminary results indicate significant potential for enhancing neuroscience education, improving remote collaboration among scientists, and democratizing access to advanced neuroscientific data and tools.
AB - We introduce NeuroVerse, a framework designed to support the immersive exploration of 3D nanometric-scale reconstructions of structural and ultrastructural neural or glial cellular processes of the central nervous system. Utilizing image stacks acquired through volume electron microscopy, NeuroVerse reconstructs detailed 3D mesh models and integrates absorption signals, enabling deployment within a Metaverse environment. This framework facilitates innovative educational and collaborative analysis experiences, particularly in neuroanatomy and neuroscience. We present a comprehensive methodology, including a pipeline for 3D model creation, segmentation, mesh reconstruction, and heatmap computation, optimized for the Spatial.io ecosystem. Our contributions include the development of a virtual anatomy lab for immersive neuroanatomy education and collaborative sessions focusing on morphology spatial correlation and neuroenergetic absorption models. Preliminary results indicate significant potential for enhancing neuroscience education, improving remote collaboration among scientists, and democratizing access to advanced neuroscientific data and tools.
KW - Brain reconstructions
KW - Immersive exploration
KW - Metaverse for education
KW - Metaverse for neuroscience
KW - Ultrastructural analysis
KW - Volume Electron Microscopy
UR - https://www.scopus.com/pages/publications/85211774569
U2 - 10.1145/3665318.3677154
DO - 10.1145/3665318.3677154
M3 - Conference contribution
AN - SCOPUS:85211774569
T3 - Proceedings - Web3D 2024: 29th International ACM Conference on 3D Web Technology
BT - Proceedings - Web3D 2024
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery, Inc
Y2 - 25 September 2024 through 27 September 2024
ER -