Iterative morphological and mollifier-based baseline correction for Raman spectra

authored by

Matthias Koch, Christian Suhr, Bernhard Roth, Merve Meinhardt-Wollweber

Abstract

In vivo Raman spectroscopy with low signal-to-noise ratio and strong, irregularly shaped fluorescence background imposes a challenge for automatic baseline correction methods. In this work, an approach that enables fast and efficient batch baseline correction has been developed, which is based on a morphological operation in combination with a mollifier algorithm. As this algorithm relies only on three parameters, which are determined by the given experimental conditions, it can be used for automatic and objective processing of many Raman spectra. The applicability of the baseline correction is demonstrated on resonance Raman spectra of beta-carotene mixed with fluorescent red ink as model system, on carotenoids in human skin, and on an excitation–emission map of the green alga Haematococcus pluvialis. In the future, the algorithm opens the potential for wide application in Raman spectra analysis in biological contexts. In particular, it greatly facilitates data processing in cases where special photochemical sample preparation or complex experimental baseline removal was required before. Similarly, processing data of experiments using resonant excitation techniques yielding strong fluorescence background is possible.

Organisation(s)

Hannover Centre for Optical Technologies (HOT)

Type

Article

Journal

Journal of Raman spectroscopy

Volume

48

Pages

336-342

No. of pages

7

ISSN

0377-0486

Publication date

02.02.2017

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Materials Science(all), Spectroscopy

Electronic version(s)

https://doi.org/10.15488/1215 (Access: Open)
https://doi.org/10.1002/jrs.5010 (Access: Closed)