Raman Tool Set

Developer(s)| BioNEM Lab
Stable release|

2.1.0 / 2017

Operating system| Windows
Type| Spectroscopy, Multivariate analysis, Spectral data analysis
License| freeware
Website| ramantoolset.sourceforge.net

Raman Tool Set is a free software package for processing and analysis of Raman spectroscopy datasets. It has been developed mainly aiming to Raman spectra analysis, but since it works with 2-columns datafiles (Intensity vs Frequency) it can deal with the results of many spectroscopy techniques.

Beyond the spectra preprocessing steps, such as baseline subtraction, normalization of spectra, smoothing and scaling, Raman Tool Set allows the user for chemometric analysis by means of principal component analysis (PCA), extended multiplicative signal correction [1] (EMSC) and cluster analysis. Chemometric and multivariate data analysis can also be applied to hyperspectral maps, using PCA, independent component analysis[2] (ICA) and cluster analysis.

Raman Tool Set is currently developed [3] at BioNEM Lab of the University "Magna Graecia" of Catanzaro, Italy.

## References

1. ↑ Martens, H.; Nielsen, J.P.; Engelsen, S.B. (2003). "Light Scattering and Light Absorbance Separated by Extended Multiplicative Signal Correction. Application to Near-Infrared Transmission Analysis of Powder Mixtures". Analytical Chemistry 75 (3): 394–404. doi:10.1021/ac020194w.
2. ↑ Ozeki, Y.; Umemura, W.; Otsuka, Y.; Satoh, S.; Hashimoto, H.; Sumimura, K.; Nishizawa, N.; Fukui, K. et al. (2012). "High-speed molecular spectral imaging of tissue with stimulated Raman scattering". Nature Photonics 6: 845–851. doi:10.1038/nphoton.2012.263. Bibcode: 2012NaPho...6..845O.
3. ↑ Candeloro, P.; Grande, E.; Raimondo, R.; Di Mascolo, D.; Gentile, F.; Coluccio, M.L.; Perozziello, G.; Malara, N. et al. (2013). "Raman database of amino acids solutions: a critical study of Extended Multiplicative Signal Correction". Analyst 138: 7331–7340. doi:10.1039/C3AN01665J. Bibcode: 2013Ana...138.7331C.

## External links

* Raman Tool Set download site
* BioNEM Lab website

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