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
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].
