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APPML
2005

A numerical method for mass spectral data analysis

8 years 9 months ago
A numerical method for mass spectral data analysis
The new generation of mass spectrometers produces an astonishing amount of high-quality data in a brief period of time, leading to inevitable data analysis bottlenecks. Automated data analysis algorithms are required for rapid and repeatable processing of mass spectra containing hundreds of peaks, the part of the spectra containing information. New data processing algorithms must work with minimal user input, both to save operator time and to eliminate inevitable operator bias. Toward this end an accurate mathematical algorithm is presented that automatically locates and calculates the area beneath peaks. The promising numerical performance of this algorithm applied to raw data is presented. Published by Elsevier Ltd
Anthony J. Kearsley, William E. Wallace, Javier Be
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2005
Where APPML
Authors Anthony J. Kearsley, William E. Wallace, Javier Bernal, Charles M. Guttman
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