3 papers
eess.IV2020
Multivariate analysis of Brillouin imaging data by supervised and unsupervised learning
YuChen Xiang, Kai Ling C. Seow, Carl Paterson +1
Brillouin imaging relies on the reliable extraction of subtle spectral information from hyperspectral datasets. To date, the mainstream practice has been using line fitting of spec…
physics.ins-det2020
Background-free fibre optic Brillouin probe for remote mapping of micromechanics
YuChen Xiang, Carin Basirun, Joshua Chou +5
Brillouin spectroscopy is a century-old technique that has recently received renewed interest, as modern instrumentation has transformed it into a powerful contactless and label-fr…
eess.SP2019
SNR Enhancement in Brillouin Microspectroscopy using Spectrum Reconstruction
YuChen Xiang, Matthew R. Foreman, Peter Török
Brillouin imaging suffers from intrinsically low signal-to-noise ratios (SNR). Such low SNRs can render common data analysis protocols unreliable, especially for SNRs below $\sim10…