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Related Experiment Video

Updated: Jun 28, 2026

Controlled Synthesis and Fluorescence Tracking of Highly Uniform Poly(N-isopropylacrylamide) Microgels

Controlled Synthesis and Fluorescence Tracking of Highly Uniform Poly(N-isopropylacrylamide) Microgels

Published on: September 8, 2016

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.

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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.