Principal component analysis in application to Brillouin microscopy data

Principal component analysis in application to Brillouin microscopy data

Brillouin microscopy has recently emerged as a new bio-imaging modality that provides information on the microscale mechanical properties of biological materials, cells and tissues. The data collected in a typical Brillouin microscopy experiment represents the high-dimensional set of spectral inform...

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Bibliographic Details
Main Authors: Hadi Mahmodi, Christopher G Poulton, Mathew N Leslie, Glenn Oldham, Hui Xin Ong, Steven J Langford, Irina V Kabakova
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:JPhys Photonics
Subjects:
Brillouin microscopy
principle components
unsupervised learning
hyperspectral data
Online Access:https://doi.org/10.1088/2515-7647/ad369d

Internet

https://doi.org/10.1088/2515-7647/ad369d

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