title: Automatic analysis of microRNA microarray images using mathematical morphology.
abstract: The micro array are an experimental technique for parallel determination of molecular concentration. The image analysis is an important, time consuming and error prone step of the process. We describe here an automatic procedure able to analyze the micro array data and to accurately provide the level of concentration for each microRNA (miRNA). The proposed method has the advantage, compared to commercial products, to minimize the user interaction, leading to a more reproducible data analysis.
authors.affiliation: University of Applied Sciences, Geneva.
authors.forename: Felix
authors.initials: F
authors.lastname: Meyenhofer
authors.forename: Olivier
authors.initials: O
authors.lastname: Schaad
authors.forename: Patrick
authors.initials: P
authors.lastname: Descombes
authors.forename: Michel
authors.initials: M
authors.lastname: Kocher
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D035683:MicroRNAs / Q000032:analysis* / Q000235:genetics*; D046228:Microarray Analysis / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D035683:MicroRNAs