Histological data of axons, astrocytes, and myelin in deep subcortical white matter populations

Santiago Coelho; Jose M. Pozo; Marina Costantini; J. Robin Highley; Meghdoot Mozumder; Julie E. Simpson; Paul G. Ince; Alejandro F. Frangi

Data in Brief (Apr 2019)

Histological data of axons, astrocytes, and myelin in deep subcortical white matter populations

Santiago Coelho,
Jose M. Pozo,
Marina Costantini,
J. Robin Highley,
Meghdoot Mozumder,
Julie E. Simpson,
Paul G. Ince,
Alejandro F. Frangi

Affiliations

Santiago Coelho: Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB) and Leeds Institute for Cardiac and Metabolic Medicine (LICAMM), School of Computing & School of Medicine, University of Leeds, Leeds, UK; CISTIB, Electronic and Electrical Engineering Department, The University of Sheffield, Sheffield, UK; Corresponding author. Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB) and Leeds Institute for Cardiac and Metabolic Medicine (LICAMM), School of Computing & School of Medicine, University of Leeds, Leeds, UK.
Jose M. Pozo: Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB) and Leeds Institute for Cardiac and Metabolic Medicine (LICAMM), School of Computing & School of Medicine, University of Leeds, Leeds, UK; CISTIB, Electronic and Electrical Engineering Department, The University of Sheffield, Sheffield, UK
Marina Costantini: CISTIB, Electronic and Electrical Engineering Department, The University of Sheffield, Sheffield, UK
J. Robin Highley: Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, UK
Meghdoot Mozumder: CISTIB, Electronic and Electrical Engineering Department, The University of Sheffield, Sheffield, UK
Julie E. Simpson: Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, UK
Paul G. Ince: Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, UK
Alejandro F. Frangi: Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB) and Leeds Institute for Cardiac and Metabolic Medicine (LICAMM), School of Computing & School of Medicine, University of Leeds, Leeds, UK; CISTIB, Electronic and Electrical Engineering Department, The University of Sheffield, Sheffield, UK

Journal volume & issue: Vol. 23

Abstract

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This immunohistochemistry dataset contains the main structures in deep subcortical white matter (axons, astrocytes, and myelinated axons) in a representative cohort of an ageing population. A set of samples from 90 subjects of the Cognitive Function and Ageing Study (CFAS) were analysed, stratified into three groups of 30 subjects each, in relation to the presence of age-associated deep subcortical lesions. High-resolution microscopy data enables the extraction of valuable information, such as volume fractions, for the construction and validation of diffusion MRI (dMRI) models. The dataset provided here was used in Coelho et al. [1].

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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