@article{dfb95414fb60471997841425a4f7d5ff,
title = "Histological data of axons, astrocytes, and myelin in deep subcortical white matter populations",
abstract = "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].",
author = "Santiago Coelho and Pozo, {Jose M.} and Marina Costantini and Highley, {J. Robin} and Meghdoot Mozumder and Simpson, {Julie E.} and Ince, {Paul G.} and Frangi, {Alejandro F.}",
note = "Funding Information: This work has been supported by the OCEAN project (EP/M006328/1) and MedIAN Network (EP/N026993/1) both funded by the Engineering and Physical Sciences Research Council (EPSRC) and the European Commission FP7 Project VPH-DARE@IT (FP7-ICT-2011-9-601055). The CFAS study is supported by the Department of Health and the Medical Research Council (grants MRC/G9901400 and MRC U.1052.00.0013); the UKNIHR Biomedical Research Centre for Ageing and Age-related Disease Award to the Newcastle upon Tyne Hospitals Foundation Trust; the Cambridge Brain Bank is supported by the NIHR Cambridge Biomedical Research Centre; The Cambridgeshire and Peterborough NIHR CLAHRC; Nottingham University Hospitals NHS Trust; University of Sheffield and the Sheffield Teaching Hospitals NHS Foundation Trust; The Thomas Willis Oxford Brain Collection, supported by the Oxford Biomedical Research Centre; The Walton Centre NHS Foundation Trust, Liverpool. The authors would like to acknowledge the essential contribution of the liaison officers, the general practitioners, their staff, and nursing and residential home staff. They are also grateful to CFAS respondents and their families for their generous gift to medical research, which has made this study possible. The Nanozoomer XR scanner was funded by the bet365/Denise Coates Foundation. The authors thank Dan Fillingham, Lynne Baxter and Rachel Waller from SITraN, and Leandro Beltrachini and Manu Raghavan-Sareena from CISTIB for their help in the acquisition and processing of the digitised histology images and in early discussions of this work. Funding Information: This work has been supported by the OCEAN project (EP/M006328/1) and MedIAN Network (EP/N026993/1) both funded by the Engineering and Physical Sciences Research Council (EPSRC) and the European Commission FP7 Project VPH-DARE@IT ( FP7-ICT-2011-9-601055 ). The CFAS study is supported by the Department of Health and the Medical Research Council (grants MRC/G9901400 and MRC U.1052.00.0013 ); the UKNIHR Biomedical Research Centre for Ageing and Age-related Disease Award to the Newcastle upon Tyne Hospitals Foundation Trust; the Cambridge Brain Bank is supported by the NIHR Cambridge Biomedical Research Centre ; The Cambridgeshire and Peterborough NIHR CLAHRC ; Nottingham University Hospitals NHS Trust ; University of Sheffield and the Sheffield Teaching Hospitals NHS Foundation Trust ; The Thomas Willis Oxford Brain Collection, supported by the Oxford Biomedical Research Centre ; The Walton Centre NHS Foundation Trust, Liverpool . The authors would like to acknowledge the essential contribution of the liaison officers, the general practitioners, their staff, and nursing and residential home staff. They are also grateful to CFAS respondents and their families for their generous gift to medical research, which has made this study possible. The Nanozoomer XR scanner was funded by the bet365/Denise Coates Foundation . The authors thank Dan Fillingham, Lynne Baxter and Rachel Waller from SITraN, and Leandro Beltrachini and Manu Raghavan-Sareena from CISTIB for their help in the acquisition and processing of the digitised histology images and in early discussions of this work. Publisher Copyright: {\textcopyright} 2019 The Author(s)",
year = "2019",
month = apr,
doi = "10.1016/j.dib.2019.103762",
language = "English",
volume = "23",
pages = "1--5",
journal = "Data in Brief",
issn = "2352-3409",
publisher = "Elsevier BV",
}