An algorithm for baseline correction of MALDI mass spectra

Visualization and differentiation of proteins in tissue are problems of increasing interest in computational systems biology, bioinformatics, and image processing. A platform for generating such proteomic information is matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS). In imaging MALDIMS, spatial information and protein expression can be created. However, data from imaging MALDI-MS spectra require considerable signal processing to generate quantitative results and to provide input to later classification algorithms. To compare MALDI-MS spectra at different spatial locations (sample-tosample comparisons) or classify parts of the spectra, a processing step called baseline correction is essential. This paper reports a robust algorithm for computing the baseline correction of MALDI-MS spectra. The algorithm requires few user inputs and is suitable for automatically processing a large number of spectra, as is the case when generating images. The results of our algor...

• Type: Conference
• Year: 2005
• Where: ACMSE
• Authors: Betsy Williams, Shannon Cornett, Benoit M. Dawant, Anna Crecelius, Bobby Bodenheimer, Richard Caprioli
• Keywords: ACMSE 2005, Baseline Correction, Image Processing, MALDI-MS Spectra, Theoretical Computer Science