Optimization and quantification of the systematic effects of a rolling circle filter for spectral pre-processing.
Sebastian Mirz,Robin Grössle,Alexander Kraus;Sebastian Mirz;Robin Grössle;Alexander Kraus;
The Analyst2019Vol. 144pp. 4281-4287
210
kraus2019theoptimization
Abstract
Spectral pre-processing, especially baseline approximation, is a crucial part in quantitative spectroscopic applications, such as Raman or FTIR spectroscopy. Filters used for this task need to be optimized for their application, in order to achieve a sufficient baseline approximation while minimizing the distortion of the spectral lines. We propose a combined method that optimizes a rolling circle filter and quantifies the residual systematic influence on the spectral lines by a Monte Carlo approach that simulates and subsequently analyses spectra with known line properties and known maximum baseline curvature.