ITLApplied  Computational Mathematics Division
ACMD Seminar Series
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Modeling Background Noise for Denoising in Chemical Spectroscopy

Richard Barnard
Louisiana State University, Baton Rouge, LA

Tuesday, June 30, 2009 15:00-16:00,
Building 101, Lecture Room F
Tuesday, June 30, 2009 13:00-14:00,
Room 5000

Abstract: Data obtained from Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI-TOF) mass spectrometers comes in the form of a set of 50,000-100,000 data pairs. Noise caused by background ions can be found in nearly every portion of the data set. In this talk, we present a method of denoising such data sets. In order to do this, we model the noise by a simple, time-dependent stochastic differential equation. This involves analysis of data sets obtained without a sample material in the spectrometer. With this, we can denoise data sets obtained from analytes by using this knowledge of the local character of the noise.

Speaker Bio: Richard Barnard is a PhD candidate in the Mathematics Department at Louisiana State University. He has been working with Professor Peter Wolesnki in Hamilton-Jacobi theory for discontinuous dynamical systems using techniques from nonsmooth analysis.

Presentation Slides: PDF

Contact: A. J. Kearsley

Note: Visitors from outside NIST must contact Robin Bickel; (301) 975-3668; at least 24 hours in advance.

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