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

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

Nguyen, David  
•
Uhlmann, Virginie  
•
Planchette, Arielle L.  
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June 1, 2019
Biomedical Optics Express

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. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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Type
research article
DOI
10.1364/BOE.10.003041
Web of Science ID

WOS:000469955600031

Author(s)
Nguyen, David  
Uhlmann, Virginie  
Planchette, Arielle L.  
Marchand, Paul J.  
Van de Ville, Dimitri  
Lasser, Theo  
Radenovic, Aleksandra  
Date Issued

2019-06-01

Published in
Biomedical Optics Express
Volume

10

Issue

6

Start page

3041

End page

3060

Subjects

Biochemical Research Methods

•

Optics

•

Radiology, Nuclear Medicine & Medical Imaging

•

Biochemistry & Molecular Biology

•

transgenic mice

•

plaques

•

microscopy

•

deposition

•

histopathology

•

classification

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
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LBEN  
LOB  
Available on Infoscience
June 19, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/158268
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