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Titolo:
Multiresolution image registration for two-dimensional gel electrophoresis
Autore:
Veeser, S; Dunn, MJ; Yang, GZ;
Indirizzi:
Univ London Imperial Coll Sci Technol & Med, Dept Comp, Royal Soc Wolfson Fdn Med Image Comp Lab, London SW7 2BZ, England Univ London Imperial Coll Sci Technol & Med London England SW7 2BZ gland Univ London Imperial Coll Sci Technol & Med, Natl Heart & Lung Inst, London, England Univ London Imperial Coll Sci Technol & Med London England don, England
Titolo Testata:
PROTEOMICS
fascicolo: 7, volume: 1, anno: 2001,
pagine: 856 - 870
SICI:
1615-9853(200107)1:7<856:MIRFTG>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Soggetto:
2-DIMENSIONAL ELECTROPHORESIS; COMPUTER-ANALYSIS; MASS-SPECTROMETRY; PROTEIN; REPRODUCIBILITY; PATTERNS; SYSTEM;
Keywords:
image processing; image registration; multiresolution analysis; two-dimensional gel electrophoresis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
39
Recensione:
Indirizzi per estratti:
Indirizzo: Yang, GZ Univ London Imperial Coll Sci Technol & Med, Dept Comp, Royal SocWolfson Fdn Med Image Comp Lab, 180 Queens Gate, London SW7 2BZ, England Univ London Imperial Coll Sci Technol & Med 180 Queens Gate London England SW7 2BZ
Citazione:
S. Veeser et al., "Multiresolution image registration for two-dimensional gel electrophoresis", PROTEOMICS, 1(7), 2001, pp. 856-870

Abstract

In proteomic research, two-dimensional electrophoresis (2-D) is an important tool for investigating, differential patterns of qualitative and quantitative protein expression. The strength of the technique is due to its unrivalled power of being able to separate simultaneously thousands of proteins. The key to the comparison of 2-D protein profiles, however, ties in the use of a fast and robust image matching process which is essential to the subsequent quantification procedure. To satisfy the growing demand for a robust and fully automatic method of matching 2-D gel protein separation profiles, we describe in this paper a novel registration technique based on image intensity distribution rather than selected features. The method uses a multiresolution representation of the get profiles and exploits the fact that coarse approximations to the optimal matching can be extracted efficiently from low-resolution images. This permits the removal of misalignments at different scales in a systematic manner and the strength of the new method has been confirmed by a double blind trial of 111 2-D gel pairs. The proposedmethod requires neither landmarks nor an a priori image alignment, and takes about five seconds for processing a typical gel pair on a standard personal computer.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 03/04/20 alle ore 11:03:57