Generation of Raman images through spectral mappings

In this work, we propose a practical approach to access and visualize relevant information on the spatial distribution on the anything sample about its biochemical composition. In order to carry out this analysis, we use a Raman spectroscopy technique to obtain spectral maps with specific spatial re...

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Bibliographic Details
Published in:Journal of intelligent & fuzzy systems 2019-01, Vol.36 (5), p.4991-4999
Main Authors: Martínez-Espinosa, J.C., Cordova-Fraga, T., Guzmán-Cabrera, R.
Format: Article
Language:English
Subjects:
Algorithms
Chemical composition
Coding
Correlation analysis
Image enhancement
Image resolution
Interpolation
Mapping
Measurement techniques
Micrometers
Organic chemistry
Post-processing
Principal components analysis
Raman spectroscopy
Spatial distribution
Spatial resolution
Spectra
Spectrum analysis
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Summary:In this work, we propose a practical approach to access and visualize relevant information on the spatial distribution on the anything sample about its biochemical composition. In order to carry out this analysis, we use a Raman spectroscopy technique to obtain spectral maps with specific spatial resolution (1 and 5 micrometers) over a selected region of the sample. Our study relies on the application of a Principal Component Analysis on the cross-correlations between the spectral blocks measured, within a certain spectral window of interest. The associated values of these principal components are used to build low-resolution images (with the same spatial resolution of the Raman scan) in which the relevant information on the chemical composition is already encoded. Finally, the spatial resolution of the principal components images was numerically enhanced in the post-processing through standard linear interpolation algorithms. In this way, we can map and visualize, simultaneously, the spatial and spectral information. The results suggest that the Raman spectroscopy imaging is a powerful tool for determining the biochemistry of organic and inorganic samples based on spectral scanning and thus determine compounds concentrations of medical interest. The proposed methodology is rather general and it could be extended to other spectroscopic measurement techniques where the spatial mapping of the spectral information is needed.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-179045