Literature DB >> 31259073

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

David Nguyen1,2,3, Virginie Uhlmann4,5, Arielle L Planchette1,3, Paul J Marchand3, Dimitri Van De Ville2,6, Theo Lasser3, Aleksandra Radenovic1.   

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.

Entities:  

Year:  2019        PMID： 31259073      PMCID： PMC6583328          DOI： 10.1364/BOE.10.003041

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN： 2156-7085            Impact factor:   3.732


  5 in total

1.  High resolution optical projection tomography platform for multispectral imaging of the mouse gut.

Authors:  Cédric Schmidt; Arielle L Planchette; David Nguyen; Gabriel Giardina; Yoan Neuenschwander; Mathieu Di Franco; Alessio Mylonas; Adrien C Descloux; Enrico Pomarico; Aleksandra Radenovic; Jérôme Extermann
Journal:  Biomed Opt Express       Date:  2021-05-26       Impact factor: 3.732

2.  Non-invasive visualization of amyloid-beta deposits in Alzheimer amyloidosis mice using magnetic resonance imaging and fluorescence molecular tomography.

Authors:  Wuwei Ren; Linlin Li; Jianru Zhang; Markus Vaas; Jan Klohs; Jorge Ripoll; Martin Wolf; Ruiqing Ni; Markus Rudin
Journal:  Biomed Opt Express       Date:  2022-06-08       Impact factor: 3.562

3.  Deep learning approach for quantification of organelles and misfolded polypeptide delivery within degradative compartments.

Authors:  Diego Morone; Alessandro Marazza; Timothy J Bergmann; Maurizio Molinari
Journal:  Mol Biol Cell       Date:  2020-05-13       Impact factor: 4.138

4.  Optical Projection Tomography Using a Commercial Microfluidic System.

Authors:  Wenhao Du; Cheng Fei; Junliang Liu; Yongfu Li; Zhaojun Liu; Xian Zhao; Jiaxiong Fang
Journal:  Micromachines (Basel)       Date:  2020-03-11       Impact factor: 2.891

5.  Statistical distortion of supervised learning predictions in optical microscopy induced by image compression.

Authors:  Enrico Pomarico; Cédric Schmidt; Florian Chays; David Nguyen; Arielle Planchette; Audrey Tissot; Adrien Roux; Stéphane Pagès; Laura Batti; Christoph Clausen; Theo Lasser; Aleksandra Radenovic; Bruno Sanguinetti; Jérôme Extermann
Journal:  Sci Rep       Date:  2022-03-02       Impact factor: 4.379
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.