| First Author | Nguyen D | Year | 2019 |
| Journal | Biomed Opt Express | Volume | 10 |
| Issue | 6 | Pages | 3041-3060 |
| PubMed ID | 31259073 | Mgi Jnum | J:284811 |
| Mgi Id | MGI:6391981 | Doi | 10.1364/BOE.10.003041 |
| Citation | Nguyen D, et al. (2019) Supervised learning to quantify amyloidosis in whole brains of an Alzheimer's disease mouse model acquired with optical projection tomography. Biomed Opt Express 10(6):3041-3060 |
| abstractText | 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. |
