Customized baseline correction

Abstract Baseline correction is an important pre-processing technique used to separate true spectroscopic signals from interference effects or remove background effects, stains or traces of compounds, e.g. in 2D gel electrophoresis. In some cases parts of the spectra or images need correction using rigid baselines (limited curvature) while other parts need more flexible baselines (more curvature). Often one has to make a compromise that is not optimal over the whole spectral range, or focus on one part and let the rest be treated sub-optimally. A customizing wrapper is proposed that rescales the spectrum abscissa and therefore makes the baseline correction algorithm behave right in all parts of the spectra. Improvements are demonstrated both visually and through regression using recently reported Raman spectra on melted fat from pork adipose tissue.