![]() ![]() Useful for identification and quantification purposes, 4 this is often not possible when substantial band overlapping occurs. Though Raman marker bands, unique to a given component, can be Individual components and their relative concentrations, there is a need to “demix” Of scattering from numerous different macromolecular components. The Raman spectra of biological cell and tissue samples consist of the superposition The correct band parameter values can be difficult. Predominantly affected by optical elements or triangular when dominated by slitĭue to these effects, for complex mixtures of different types of molecules,Īpportioning Raman bands to the correct originating molecular type and determining For scanned spectra, IPSFs tend to be Gaussian when Where ∗ denotes the convolution operator and ipsf is the Particular those aspects that need improvement. ![]() Resolution enhancement approaches, the feasibility of these methods forĪutomation, the nature of the problems currently limiting their use, and in Our efforts provided insight into the need for effective WeĬonclude with a discussion of the particular benefits, drawbacks, and potential WeĪlso determined the effects of the different resolution enhancement methods onĢD-COS and on chemical contrast image generation from mammalian cell spectra. Resolution spectra of glucose acquired with a narrow spectrometer slit wereĬompared to ones using a wide slit that degraded the spectral resolution. These methods to improve the resolution of measured Raman spectra. Intensities in resolution-enhanced spectra. Including the separation of overlapping peaks and the preservation of true peak Improved spectral resolution was evaluated based on several criteria Varied synthetic spectra, each consisting of nine overlapping Voigt profile The general-purpose peak fitting program Fityk. ![]() Them along with three extant methods: node narrowing, blind deconvolution, and Methods based on pseudospectra, over-deconvolution, and peak fitting to evaluate To investigate these issues, we implemented three novel resolution enhancement Multiple overlapping peaks, and thus methods ideally suitable for diverse tasks. Methods to apply to large numbers of varied hyperspectral data sets containing Furthermore, there is a need for automated Problems, their performances often differ, thereby rendering some more suitable Software-based resolution enhancement methods can be used to counter such Multisource correlation analysis, and principal component analysis. This is particularly problematic for methodsĭependent on sparsity such as multivariate curve resolution and other spectralĭemixing as well as for two-dimensional correlation spectroscopy (2D-COS), Overlapping peaks in Raman spectra complicate the presentation, interpretation,Īnd analyses of complex samples. ![]()
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