@article{8fd18d8b91ad4db3906e1dda3c6e135d,
title = "Eliminating Artifacts in Electrospray Deconvolution with a SoftMax Function",
abstract = "UniDec provides a rapid and robust approach to deconvolving electrospray mass spectra into their corresponding mass and charge components. However, the UniDec algorithm can produce artifacts depending on the quality and complexity of the data. Here, a SoftMax function is applied to the charge state distribution of each data point, which pushes the algorithm towards assigning each data point to one primary charge state. As shown for several data sets of increasing complexity, the SoftMax function significantly reduces deconvolution artifacts, even for data with overlapping charge states. [Figure not available: see fulltext.]",
keywords = "Deconvolution, Electrospray, Intact mass, Mass spectrometry, Native MS",
author = "Marty, {Michael T.}",
note = "Funding Information: The author thanks William Resager, Eamonn Reading, and Georg Hochberg for contributing spectra. This work was funded by the Bisgrove Scholar Award from Science Foundation Arizona, the American Society for Mass Spectrometry Research Award, the National Science Foundation (CHE-1845230), and the National Institute of General Medical Sciences and National Institutes of Health (R35 GM128624) to M.T.M. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Funding Information: The author thanks William Resager, Eamonn Reading, and Georg Hochberg for contributing spectra. This work was funded by the Bisgrove Scholar Award from Science Foundation Arizona, the American Society for Mass Spectrometry Research Award, the National Science Foundation (CHE-1845230), and the National Institute of General Medical Sciences and National Institutes of Health (R35 GM128624) to M.T.M. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Publisher Copyright: {\textcopyright} 2019, American Society for Mass Spectrometry.",
year = "2019",
month = oct,
day = "1",
doi = "10.1007/s13361-019-02286-4",
language = "English (US)",
volume = "30",
pages = "2174--2177",
journal = "Journal of the American Society for Mass Spectrometry",
issn = "1044-0305",
publisher = "Springer New York",
number = "10",
}