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Loopy MSC: a simple way to improve multiplicative scatter correction.
Willem Windig1, Jeremy Shaver, Rasmus Bro
1Eigenvector Research, Inc., 3905 West Eaglerock Drive, Wenatchee, Washington 98801, USA. windig@eigenvector.com
Applied Spectroscopy
|October 18, 2008
Summary
Multiplicative scatter correction (MSC) iteratively refines spectra. Repeated MSC applications can alter the mean spectrum, necessitating further corrections for accurate spectral data analysis.
Area of Science:
- Spectroscopy
- Chemometrics
- Data Analysis
Background:
- Multiplicative scatter correction (MSC) is a standard spectral normalization method.
- MSC aims to align individual spectra with a reference spectrum, typically the data set mean.
- Deviations beyond scale and offset differences can influence the mean spectrum.
Purpose of the Study:
- To investigate the impact of applying Multiplicative Scatter Correction multiple times.
- To understand how iterative MSC affects spectral data and the reference mean spectrum.
Main Methods:
- The study involves repeated application of the Multiplicative Scatter Correction algorithm.
- Analysis focuses on the changes in the mean spectrum after each MSC iteration.
Main Results:
- Multiple MSC applications lead to changes in the mean spectrum.
- Subsequent MSC corrections are required when the mean spectrum shifts.
Conclusions:
- Iterative application of Multiplicative Scatter Correction can alter spectral data.
- The effectiveness of MSC depends on the nature and extent of spectral variations.
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