AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education

We introduce NeuroVerse, a framework for exploring 3D nanometric-scale reconstructions of neural and glial cellular processes in the central nervous system. Using image stacks from volume electron microscopy, NeuroVerse generates 3D mesh models through a SAM2-based segmentation pipeline and integrates absorption signals for deployment in a Metaverse environment. The framework includes a SAM2 adapter optimized for biological microscopy imaging, adapted with feature enhancement blocks and dual decoders to improve the segmentation of complex cellular structures. An interactive virtual AI agent, powered by Heygen and OpenAI models with domain-specific knowledge, provides semi-real-time assistance. NeuroVerse supports education and collaborative analysis for neuroanatomy and neuroscience. It includes a pipeline for the creation of 3D models, automated segmentation, mesh reconstruction, and heatmap computation, optimized for the Spatial.io ecosystem. Contributions include a virtual anatomy lab for neuroanatomy education and collaborative sessions on spatial morphology correlation and neuroenergetic absorption models. Evaluations show that the SAM2 adapter preserves fine cellular details and manages irregular boundaries. Preliminary sessions indicate potential to enhance neuroscience education, improve remote collaboration among scientists, and provide access to advanced neuroscientific data and tools. Evaluation of the virtual AI agent confirms its ability to provide context-aware support, interpret complex cellular structures, and facilitate understanding through semi-real-time assistance for students analyzing neural and glial reconstructions. NeuroVerse combines imaging, segmentation, and AI technologies within an immersive Metaverse platform for neuroscience education and research. • Development of digital twin of the Human Anatomy Institute of the University of Turin. • AI-Based pipeline for EM image segmentation and Data interpretation. • Case study for multiple usage for Data Analysis and Education in the Metaverse.

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Publication Details

Journal
Computers & Graphics
Published
2025-05-02
DOI
https://doi.org/10.1016/j.cag.2025.104239
Citations
3
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
4.90
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article

AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education

Markus Hadwiger, Marco Agus, Corrado Calı, Vanessa Chiappini et al.
3 citations
Computers & Graphics
Cell Image Analysis Techniques
4.90
article

AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education

Markus Hadwiger, Marco Agus, Corrado Calı, Vanessa Chiappini, Pierre Julius Magistretti, Uzair Shah, Mowafa Househ, Mahmood Alzubaidi, Daniya Boges, Hamad Aldous
article en
3 citations

Abstract

We introduce NeuroVerse, a framework for exploring 3D nanometric-scale reconstructions of neural and glial cellular processes in the central nervous system. Using image stacks from volume electron microscopy, NeuroVerse generates 3D mesh models through a SAM2-based segmentation pipeline and integrates absorption signals for deployment in a Metaverse environment. The framework includes a SAM2 adapter optimized for biological microscopy imaging, adapted with feature enhancement blocks and dual decoders to improve the segmentation of complex cellular structures. An interactive virtual AI agent, powered by Heygen and OpenAI models with domain-specific knowledge, provides semi-real-time assistance. NeuroVerse supports education and collaborative analysis for neuroanatomy and neuroscience. It includes a pipeline for the creation of 3D models, automated segmentation, mesh reconstruction, and heatmap computation, optimized for the Spatial.io ecosystem. Contributions include a virtual anatomy lab for neuroanatomy education and collaborative sessions on spatial morphology correlation and neuroenergetic absorption models. Evaluations show that the SAM2 adapter preserves fine cellular details and manages irregular boundaries. Preliminary sessions indicate potential to enhance neuroscience education, improve remote collaboration among scientists, and provide access to advanced neuroscientific data and tools. Evaluation of the virtual AI agent confirms its ability to provide context-aware support, interpret complex cellular structures, and facilitate understanding through semi-real-time assistance for students analyzing neural and glial reconstructions. NeuroVerse combines imaging, segmentation, and AI technologies within an immersive Metaverse platform for neuroscience education and research. • Development of digital twin of the Human Anatomy Institute of the University of Turin. • AI-Based pipeline for EM image segmentation and Data interpretation. • Case study for multiple usage for Data Analysis and Education in the Metaverse.

Computers & GraphicsVol. 129
Neuroscience Institute (IT), Hamad bin Khalifa University (QA), University of Turin (IT), King Abdullah University of Science and Technology (SA)
Quality Education
Openalex Percentile: Top 6%
Cell Image Analysis Techniques
4.90
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