title: Automatic analysis of macroarrays images.
abstract: The analysis of dot blot (macroarray) images is currently based on the human identification of positive/negative dots, which is a subjective and time consuming process. This paper presents a system for the automatic analysis of dot blot images, using a pre-defined grid of markers, including a number of ON and OFF controls. The geometric deformations of the input image are corrected, and the individual markers detected, both tasks fully automatically. Based on a previous training stage, the probability for each marker to be ON is established. This information is provided together with quality parameters for training, noise and classification, allowing for a fully automatic evaluation of a dot blot image.
authors.affiliation: Instituto Superior de Engenharia de Coimbra, R. Pedro Nunes, Qt. Nora, Portugal. caridade@isec.pt
authors.forename: C R
authors.initials: CR
authors.lastname: Caridade
authors.forename: A S
authors.initials: AS
authors.lastname: Marcal
authors.forename: T
authors.initials: T
authors.lastname: Mendonca
authors.forename: P
authors.initials: P
authors.lastname: Albuquerque
authors.forename: M V
authors.initials: MV
authors.lastname: Mendes
authors.forename: F
authors.initials: F
authors.lastname: Tavares
mesh_terms: D001331:Automation; D015139:Blotting, Southern; D016001:Confidence Intervals; D004269:DNA, Bacterial / Q000235:genetics / Q000302:isolation & purification; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D043367:Ralstonia / Q000235:genetics
chemical_list: D004269:DNA, Bacterial