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Supervised learning to quantify amyloidosis in whole brains of an Alzheimer's disease mouse model acquired with optical projection tomography

Published inBiomedical Optics Express, vol. 10, no. 6, p. 3041-3060
Publication date2019
Abstract

Alzheimer's disease (AD) is characterized by amyloidosis of brain tissues. This phenomenon is studied with genetically-modified mouse models. We propose a method to quantify amyloidosis in whole 5xFAD mouse brains, a model of AD. We use optical projection tomography (OPT) and a random forest voxel classifier to segment and measure amyloid plaques. We validate our method in a preliminary cross-sectional study, where we measure 6136 ± 1637, 8477 ± 3438, and 17267 ± 4241 plaques (AVG ± SD) at 11, 17, and 31 weeks. Overall, this method can be used in the evaluation of new treatments against AD.

Citation (ISO format)
NGUYEN, David et al. Supervised learning to quantify amyloidosis in whole brains of an Alzheimer’s disease mouse model acquired with optical projection tomography. In: Biomedical Optics Express, 2019, vol. 10, n° 6, p. 3041–3060. doi: 10.1364/BOE.10.003041
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ISSN of the journal2156-7085
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Creation26/07/2020 16:45:00
First validation26/07/2020 16:45:00
Update time15/03/2023 22:21:01
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