Denoising of single scan Raman spectroscopy signals

Luis Quintero; Christian Matthäus; Shawn Hunt; Max Diem

doi:10.1117/12.842851

18 March 2010 Denoising of single scan Raman spectroscopy signals

Luis Quintero, Christian Matthäus, Shawn Hunt, Max Diem

Proceedings Volume 7568, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VIII; 756817 (2010) https://doi.org/10.1117/12.842851
Event: SPIE BiOS, 2010, San Francisco, California, United States

Abstract

Noise reduction algorithms for improving Raman spectroscopy signals while preserving signal information were implemented. Algorithms based on Wavelet denoising and Kalman filtering are presented in this work as alternatives to the well-known Savitky-Golay algorithm. The Wavelet and Kalman algorithms were designed based on the noise statistics of real signals acquired using CCD detectors in dispersive spectrometers. Experimental results show that the random noise generated in the data acquisition is governed by sub-Poisson statistics. The proposed algorithms have been tested using both real and synthetic data, and were compared using Mean Squared Error (MSE) and Infinity Norm (L_∞) to each other and to the standard Savitky-Golay algorithm. Results show that denoising based on Wavelets performs better in both the MSE and (L_∞) the sense.

Citation Download Citation

Luis Quintero, Christian Matthäus, Shawn Hunt, and Max Diem "Denoising of single scan Raman spectroscopy signals", Proc. SPIE 7568, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VIII, 756817 (18 March 2010); https://doi.org/10.1117/12.842851

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