A Digital Atlas to Unlock the Potential of Brain Biorepository Tissue for Interdisciplinary Research

The digital BSP atlas provides an explicit spatial representation of the BSP, enabling researchers to more efficiently locate, reference, and utilize postmortem samples. Implementing the BSP with modern neuroinformatics conventions provides a highly portable, quantitative reference that facilitates interdisciplinary collaboration, dynamic visualization, figure generation, protocol optimization, and integration with in-vivo neuroimaging. Ongoing extensions of this work include the development of neuropathology sampling training software and a flexible interface to identify corresponding samples from free-form neuroscience terms.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70855_107778
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
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A Digital Atlas to Unlock the Potential of Brain Biorepository Tissue for Interdisciplinary Research

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A Digital Atlas to Unlock the Potential of Brain Biorepository Tissue for Interdisciplinary Research

Caitlin S. Latimer, Thomas J. Grabowski, Jason Webster, Yiqin Alicia Shen, Ali Shojaie, Tung Thanh Le, Christine MacDonald, C. Dirk Keene
article en

Abstract

The digital BSP atlas provides an explicit spatial representation of the BSP, enabling researchers to more efficiently locate, reference, and utilize postmortem samples. Implementing the BSP with modern neuroinformatics conventions provides a highly portable, quantitative reference that facilitates interdisciplinary collaboration, dynamic visualization, figure generation, protocol optimization, and integration with in-vivo neuroimaging. Ongoing extensions of this work include the development of neuropathology sampling training software and a flexible interface to identify corresponding samples from free-form neuroscience terms.

Alzheimer s & DementiaVol. 21(S1)
University of Washington (US), Neurological Surgery (US)
Partnerships for the goals
Openalex Percentile: Top 21%
Cell Image Analysis Techniques
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