title: An automated method for gridding in microarray images.
abstract: Microarray technology is a powerful tool for analyzing the expression of a large number of genes in parallel. A typical microarray image consists of a few thousands of spots which determine the level of gene expression in the sample. In this paper we propose a method which automatically addresses each spot area in the image. Initially, a preliminary segmentation of the image is produced using a template matching algorithm. Next, grid and spot finding are realized. The position of non-expressed spots is located and finally a Voronoi diagram is employed to fit the grid on the image. Our method has been evaluated in a set of five images consisting of 45960 spots, from the Stanford microarray database and the reported accuracy for spot detection was 93%
authors.affiliation: Lab. of Biol. Chem., Ioannina Univ., Ioannina, Greece. me01310@cc.uoi.gr
authors.forename: Nikolaos
authors.initials: N
authors.lastname: Giannakeas
authors.forename: Dimitrios I
authors.initials: DI
authors.lastname: Fotiadis
authors.forename: Anastasia S
authors.initials: AS
authors.lastname: Politou
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D007090:Image Interpretation, Computer-Assisted; D008957:Models, Genetic; D015233:Models, Statistical; D009716:Numerical Analysis, Computer-Assisted; D020411:Oligonucleotide Array Sequence Analysis / Q000295:instrumentation* / Q000379:methods; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D017422:Sequence Analysis, DNA; D012984:Software