Critical Evaluation of Spectral Resolution Enhancement Methods for Raman Hyperspectra.

ABSTRACT: Overlapping peaks in Raman spectra complicate the presentation, interpretation, and analyses of complex samples. This is particularly problematic for methods dependent on sparsity such as multivariate curve resolution and other spectral demixing as well as for two-dimensional correlation spectroscopy (2D-COS), multisource correlation analysis, and principal component analysis. Though software-based resolution enhancement methods can be used to counter such problems, their performances often differ, thereby rendering some more suitable than others for specific tasks. Furthermore, there is a need for automated methods to apply to large numbers of varied hyperspectral data sets containing multiple overlapping peaks, and thus methods ideally suitable for diverse tasks. To investigate these iss

SUBMITTER: Schulze HG 

PROVIDER: S-EPMC8750138 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature