version 6.1 (1.61 MB) by Robert Schmidt
App for pre-processing, unmixing and classifying compounds of interest in spontaneous Raman scattering datasets.


Updated 30 Apr 2022

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Raman spectroscopy is a valuable tool for acquiring vibrational spectra non-destructively of chemical compounds for many different types of samples without a lengthy sample preparation. By adding a movable stage to a Raman microscope, Raman spectroscopy can be used to map the surface distribution of chemical compounds, for instance in pharmaceutical, polymeric, and biological samples. These hyperspectral Raman images typically contain spectra of pure compounds that are hidden within thousands of other spectra. Inspecting each spectrum to find the pure compounds in the mapping dataset is time consuming and impractical. Therefore, we introduce RamanLIGHT, a fast and simple app to pre-process Raman mapping datasets and apply up to eight unsupervised unmixing algorithms to find spectra of the pure compounds and create abundance maps.
Included unmixing alogrithms: N-FINDR, PPI, FIPPI, VCA, ATGP, ICA, AVmax, AMEE, and MCR-ALS (beta).
For a quick start go to the "Info" tab and select the Quick Start Guide.

Cite As

Robert Schmidt (2022). RamanLIGHT (https://www.mathworks.com/matlabcentral/fileexchange/101999-ramanlight), MATLAB Central File Exchange. Retrieved .

Schmidt, Robert W., et al. “RamanLIGHT - A Graphical User-Friendly Tool for Pre-Processing and Unmixing Hyperspectral Raman Spectroscopy Images.” Journal of Optics, IOP Publishing, Apr. 2022, doi:10.1088/2040-8986/ac6883.

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MATLAB Release Compatibility
Created with R2021a
Compatible with R2020b and later releases
Platform Compatibility
Windows macOS Linux

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