English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/146839
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
Exportar a otros formatos:

Compression strategies for the chemometric analysis of mass spectrometry imaging data

AutorBedia, Carmen; Tauler, Romà; Jaumot, Joaquim
Palabras claveData compression
Mass spectrometry imaging
Fecha de publicación1-oct-2016
EditorJohn Wiley & Sons
CitaciónJournal of Chemometrics 30 (10): 575-588 (2016)
ResumenApplication 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.
Aparece en las colecciones: (IDAEA) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
CHEMAGEB_34.docx2,55 MBMicrosoft Word XMLVisualizar/Abrir
Mostrar el registro completo

Artículos relacionados:

NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.