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Raman Microscopy and imaging can be used for a wide range of applications, such as the chemical identification of particles and smallest contaminations, the analysis of the distribution of a multitude of different components in a complex mixture. In recent years, the applications of Raman Microscopy and imaging in the pharmaceutical world, including capsules, packaging, coatings, sample homogeneity...
Raman spectroscopy is a powerful and effective technique for analyzing and identifying the chemical composition of a substance. In this paper, we focus on supervised methods for estimating Raman spectra and present a supervised method that can handle rank deficiency for estimating the Raman spectra. Earlier work has mostly assumed that the reference spectra matrix whose columns consist of the library...
Raman spectroscopy is a powerful and effective technique for analyzing and identifying the chemical composition of a substance. Two types of Raman spectra estimation algorithms exist: supervised and unsupervised. In this paper, we perform a comparative analysis of five supervised algorithms for estimating Raman spectra. We describe a realistic measurement model for a dispersive Raman measurement device...
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