English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/146839
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:

Title

Compression strategies for the chemometric analysis of mass spectrometry imaging data

AuthorsBedia, Carmen ; Tauler, Romà ; Jaumot, Joaquim
KeywordsData compression
Mass spectrometry imaging
Preprocessing
Issue Date1-Oct-2016
PublisherJohn Wiley & Sons
CitationJournal of Chemometrics 30 (10): 575-588 (2016)
AbstractApplication of chemometric methods to mass spectrometry imaging (MSI) data faces a bottleneck concerning the vast size of the experimental data sets. This drawback is critical when considering high-resolution mass spectrometry data, which provide several thousand points for each considered pixel. In this work, different approaches have been tested to reduce the size of the analyzed data with the aim to allow the subsequent application of typical chemometric methods for image analysis. The standard approach for MSI data compression consists in binning mass spectra for each pixel to reduce the number of m/z values. In this work, a method is proposed to handle the huge size of MSI data based on the adaptation of a liquid chromatography-mass spectrometry data compression method by the detection of regions of interest. Results showed that both approaches achieved high compression rates, although the proposed regions of interest–based method attains this reduction requiring lower computational requirements and keeping utter spectral information. For instance, typical compression rate reached values higher than 90% without loss of information in images and spectra. Copyright © 2016 John Wiley & Sons, Ltd.
URIhttp://hdl.handle.net/10261/146839
DOIhttp://dx.doi.org/10.1002/cem.2821
Appears in Collections:(IDAEA) Artículos
Files in This Item:
File Description SizeFormat 
CHEMAGEB_34.docx2,55 MBMicrosoft Word XMLView/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.