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Proceedings Paper

Denoising of single scan Raman spectroscopy signals
Author(s): Luis Quintero; Christian Matthäus; Shawn Hunt; Max Diem
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Paper 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.

Paper Details

Date Published: 18 March 2010
PDF: 12 pages
Proc. SPIE 7568, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VIII, 756817 (18 March 2010); doi: 10.1117/12.842851
Show Author Affiliations
Luis Quintero, Univ. de Puerto Rico Mayagüez (United States)
Christian Matthäus, Northeastern Univ. (United States)
Shawn Hunt, Univ. de Puerto Rico Mayagüez (United States)
Max Diem, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 7568:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VIII
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

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