Multivariate analysis of Brillouin imaging data by supervised and unsupervised learning

• Main Authors: Xiang, Yuchen, Seow, Kai Ling C., Paterson, Carl, Török, Peter
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Physics; Bioinformatics; Brillouin
• Online Access: https://hdl.handle.net/10356/159652
• Institution: Nanyang Technological University

Brillouin imaging relies on the reliable extraction of subtle spectral information from hyperspectral datasets. To date, the mainstream practice has been to use line fitting of spectral features to retrieve the average peak shift and linewidth parameters. Good results, however, depend heavily on suf...