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Maximum entropy deconvolution in electrospray mass spectrometry
Author(s) -
Ferrige A. G.,
Seddon M. J.,
Jarvis S.,
Skilling John,
Aplin Robert
Publication year - 1991
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.1290050810
Subject(s) - chemistry , deconvolution , principle of maximum entropy , electrospray , electrospray mass spectrometry , mass spectrometry , entropy (arrow of time) , analytical chemistry (journal) , chromatography , artificial intelligence , algorithm , thermodynamics , physics , computer science
The maximum entropy (MaxEnt) technique has been well established in image processing for the last decade. In more recent times MaxEnt has been applied to spectroscopic techniques and shows considerable promise. As part of a much wider evaluation of the Cambridge software, specifically MemSys3, the MaxEnt technique has been successfully applied to electrospray mass spectra.