Open AccessAUTOMATIC SELECTION OF TWO-DIMENSIONAL ELECTROPHORESIS GEL WITH LEAST GEOMETRIC DISTORTIONS
Author(s) -
Dalius Matuzevičius
Publication year - 2010
Publication title -
mokslas - lietuvos ateitis
Language(s) - English
Resource type - Journals
eISSN - 2029-2341
pISSN - 2029-2252
DOI - 10.3846/mla.2010.002
Subject(s) - selection (genetic algorithm) , distortion (music) , two dimensional gel electrophoresis , artificial intelligence , image (mathematics) , computer science , line (geometry) , mathematics , computer vision , pattern recognition (psychology) , geometry , chemistry , computer network , amplifier , biochemistry , bandwidth (computing) , proteomics , gene
The paper presents an algorithm for automated selection of the highest quality two-dimensional gel electrophoresis image. The quality criterion is the amount of vertical geometric distortions of the gel. The aim is to select the least distorted gel from the group received during the same biochemical experiment. Vertical geometric distortions displace proteins of the same molecular mass from the horizontal line and have a greater impact on the determination of protein characteristics than horizontal distortions. After presenting algorithm for evaluation of distortions and selection of base gel results are compared to expert's made selections. If necessary, algorithm may be adapted for horizontal distortion evaluation.
Article in Lithuanian