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

<p>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...

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Main Author: Uzair Shah (15740699) (author)
Other Authors: Marco Agus (8032898) (author), Daniya Boges (8032901) (author), Hamad Aldous (21392810) (author), Vanessa Chiappini (12451155) (author), Mahmood Alzubaidi (15740693) (author), Markus Hadwiger (2567419) (author), Pierre J. Magistretti (8032907) (author), Mowafa Househ (9154124) (author), Corrado Calí (17302723) (author)
Published: 2025
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author Uzair Shah (15740699)
author2 Marco Agus (8032898)
Daniya Boges (8032901)
Hamad Aldous (21392810)
Vanessa Chiappini (12451155)
Mahmood Alzubaidi (15740693)
Markus Hadwiger (2567419)
Pierre J. Magistretti (8032907)
Mowafa Househ (9154124)
Corrado Calí (17302723)
author2_role author
author
author
author
author
author
author
author
author
author_facet Uzair Shah (15740699)
Marco Agus (8032898)
Daniya Boges (8032901)
Hamad Aldous (21392810)
Vanessa Chiappini (12451155)
Mahmood Alzubaidi (15740693)
Markus Hadwiger (2567419)
Pierre J. Magistretti (8032907)
Mowafa Househ (9154124)
Corrado Calí (17302723)
author_role author
dc.creator.none.fl_str_mv Uzair Shah (15740699)
Marco Agus (8032898)
Daniya Boges (8032901)
Hamad Aldous (21392810)
Vanessa Chiappini (12451155)
Mahmood Alzubaidi (15740693)
Markus Hadwiger (2567419)
Pierre J. Magistretti (8032907)
Mowafa Househ (9154124)
Corrado Calí (17302723)
dc.date.none.fl_str_mv 2025-05-09T06:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.cag.2025.104239
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/AI-guided_immersive_exploration_of_brain_ultrastructure_for_collaborative_analysis_and_education/29108669
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Neurosciences
Information and computing sciences
Artificial intelligence
Ultrastructural analysis
Immersive exploration
Volume electron microscopy
Brain reconstructions
Metaverse for education
Metaverse for neuroscience
dc.title.none.fl_str_mv AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p>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.</p><h2>Other Information</h2> <p> Published in: Computers & Graphics<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cag.2025.104239" target="_blank">https://dx.doi.org/10.1016/j.cag.2025.104239</a></p>
eu_rights_str_mv openAccess
id Manara2_0417cd225478ddbfabb484d61e78f597
identifier_str_mv 10.1016/j.cag.2025.104239
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/29108669
publishDate 2025
repository.mail.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling AI-guided immersive exploration of brain ultrastructure for collaborative analysis and educationUzair Shah (15740699)Marco Agus (8032898)Daniya Boges (8032901)Hamad Aldous (21392810)Vanessa Chiappini (12451155)Mahmood Alzubaidi (15740693)Markus Hadwiger (2567419)Pierre J. Magistretti (8032907)Mowafa Househ (9154124)Corrado Calí (17302723)Biomedical and clinical sciencesNeurosciencesInformation and computing sciencesArtificial intelligenceUltrastructural analysisImmersive explorationVolume electron microscopyBrain reconstructionsMetaverse for educationMetaverse for neuroscience<p>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.</p><h2>Other Information</h2> <p> Published in: Computers & Graphics<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cag.2025.104239" target="_blank">https://dx.doi.org/10.1016/j.cag.2025.104239</a></p>2025-05-09T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.cag.2025.104239https://figshare.com/articles/journal_contribution/AI-guided_immersive_exploration_of_brain_ultrastructure_for_collaborative_analysis_and_education/29108669CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/291086692025-05-09T06:00:00Z
spellingShingle AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
Uzair Shah (15740699)
Biomedical and clinical sciences
Neurosciences
Information and computing sciences
Artificial intelligence
Ultrastructural analysis
Immersive exploration
Volume electron microscopy
Brain reconstructions
Metaverse for education
Metaverse for neuroscience
status_str publishedVersion
title AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
title_full AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
title_fullStr AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
title_full_unstemmed AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
title_short AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
title_sort AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
topic Biomedical and clinical sciences
Neurosciences
Information and computing sciences
Artificial intelligence
Ultrastructural analysis
Immersive exploration
Volume electron microscopy
Brain reconstructions
Metaverse for education
Metaverse for neuroscience