title: Multiresolution image registration for two-dimensional gel electrophoresis.
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, lies 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 gel 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 proposed method 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.
authors.affiliation: Royal Society/Wolfson Foundation Medical Image Computing Laboratory, Imperial College of Science, Technology and Medicine, London, UK.
authors.forename: S
authors.initials: S
authors.lastname: Veeser
authors.forename: M J
authors.initials: MJ
authors.lastname: Dunn
authors.forename: G Z
authors.initials: GZ
authors.lastname: Yang
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D001798:Blood Proteins / Q000302:isolation & purification; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data; D009206:Myocardium / Q000737:chemistry; D010940:Plant Proteins / Q000302:isolation & purification; D020543:Proteome / Q000302:isolation & purification*
chemical_list: D001798:Blood Proteins; D010940:Plant Proteins; D020543:Proteome