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Related Concept Videos

Brain Imaging01:14

Brain Imaging

199
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
199

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Updated: May 21, 2025

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
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AI-driven framework to map the brain metabolome in three dimensions.

Xin Ma1,2,3, Cameron J Shedlock1,2, Terrymar Medina1,2

  • 1Department of Biochemistry and Molecular Biology, College of Medicine, University of Florida, Gainesville, FL, USA.

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|March 19, 2025
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Summary

MetaVision3D transforms 2D spatial metabolomics data into 3D models. This AI-powered pipeline reveals complex metabolic landscapes in tissues, advancing biological understanding.

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Area of Science:

  • Spatial biology
  • Metabolomics
  • Biotechnology

Background:

  • High-resolution spatial imaging is crucial for understanding biological systems.
  • Spatial metabolomics analyzes metabolic heterogeneity in tissues.
  • Current methods primarily focus on 2D spatial data.

Purpose of the Study:

  • To introduce MetaVision3D, a novel pipeline for creating 3D spatial metabolomics data.
  • To enable the transformation of serial 2D MALDI mass spectrometry imaging sections into a high-resolution 3D spatial metabolome.
  • To provide a comprehensive 3D model of metabolites in host tissues.

Main Methods:

  • Utilizing computer vision and artificial intelligence for image workflow.
  • Employing advanced algorithms for image registration, normalization, and interpolation.
  • Integrating serial 2D tissue sections to generate a 3D model.

Main Results:

  • Successfully generated a 3D mouse brain metabolome atlas.
  • Created an interactive online database and web server for the atlas.
  • Demonstrated the capability to model diverse metabolites across tissues at submesoscale.

Conclusions:

  • MetaVision3D enables the extension of spatial metabolomics into three dimensions.
  • The generated 3D brain atlas advances research in brain metabolism.
  • This technology has broad applications in understanding complex biological systems.