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Using Matrix Convolution Filters to Extract Information from Time‐of‐flight Mass Spectra
Author(s) -
Carroll James A.,
Beavis Ronald C.
Publication year - 1996
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/(sici)1097-0231(199610)10:13<1683::aid-rcm716>3.0.co;2-l
Subject(s) - convolution (computer science) , mass spectrum , chemistry , spectral line , matrix (chemical analysis) , noise (video) , filter (signal processing) , mass spectrometry , algorithm , image (mathematics) , artificial intelligence , computer science , computer vision , physics , chromatography , astronomy , artificial neural network
This paper describes the application of matrix convolution filters to time‐of‐flight matrix‐assisted laser desorption mass spectra to improve the appearance of a particular spectrum and to extract peaks from poorly resolved signals. These filters are commonly used in image enhancement to sharpen blurry images and remove noise because of their general applicability and their modest requirements for calculation speed. The theory of these filters is discussed, as applied to mass spectra, and examples of spectra processed using a variety of filters are shown to demonstrate the improvements and artifacts that can be generated.