RamanLIGHT

App for pre-processing, unmixing and classifying compounds of interest in spontaneous Raman scattering datasets.
675 Downloads
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 (2024). 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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Version Published Release Notes
6.1

We are happy to announce that the accompanying paper for RamanLIGHT was published, and would be very happy if you cite our paper! https://doi.org/10.1088/2040-8986/ac6883

6.0

• NEW: Play a sound when pre-processing is finished. Info > Preferences > Play sound after pre-processing.
• NEW: Calculate the "total variance explained" by PCA.
And more! See under Info > Update Notes
We are at SPIE Photonics Europe 2022!

5.0

• NEW: Crop the hyperspectral image to the region of interest. Just select “Crop Image” and draw a rectangle. Confirm the selection by double clicking the rectangle.
• NEW: A “How to…” section with a Quick Start Guide in the “Info” tab!
• And more

4.04

• Added to possibility to create a coloured overlay in the pixel selection tab, which makes it easier to find specific pixels
• Updated software and toolbox requirements

4.03

Minor changes

4.02