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Improved optimization of the Fourier transform ion cyclotron resonance mass spectrometry phase correction function using a genetic algorithm
Author(s) -
Kilgour David P. A.,
Neal Mark J.,
Soulby Andrew J.,
O'Connor Peter B.
Publication year - 2013
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/rcm.6658
Subject(s) - fourier transform ion cyclotron resonance , algorithm , fourier transform , ion cyclotron resonance , mass spectrometry , genetic algorithm , chemistry , mass spectrum , ion , computer science , physics , cyclotron , mathematical optimization , mathematics , organic chemistry , chromatography , quantum mechanics
RATIONALE Fourier Transform Ion Cyclotron Resonance mass spectra exhibit improved resolving power, mass accuracy and signal‐to‐noise ratio when presented in absorption mode; a process which requires calculation of a phase correction function. Mass spectrometric images can contain many thousands of pixels; hence methods of decreasing the time required to solve for a phase correction function will result in significant improvements in this application. METHODS A genetic algorithm approach for optimizing the phase correction function has been developed and compared with a previously described convergent iteration technique. RESULTS The genetic algorithm method has been shown to offer a five‐fold improvement in processing speed compared with the previous iterative approach used in the Autophaser algorithm, while maintaining the levels of accuracy. This translates to an 11 hour improvement in processing for a 20 000 pixel mass spectrometric image. CONCLUSIONS The genetic algorithm method described in this manuscript offers significant processing speed advantages over the previously described convergent iteration technique. This improvement is key to allowing the future routine use of absorption mode mass spectrometric images. Copyright © 2013 John Wiley & Sons, Ltd.