Title :
Automatic analysis of microRNA Microarray images using Mathematical Morphology
Author :
Meyenhofer, F. ; Schaad, O. ; Descombes, P. ; Kocher, M.
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.
Keywords :
biology computing; genetics; macromolecules; mathematical morphology; molecular biophysics; organic compounds; automatic image analysis; genetics; mathematical morphology; microRNA microarray images; molecular concentration; Color; DNA; Data mining; Fluorescence; Humans; Image analysis; Image segmentation; Labeling; Morphology; Probes; Algorithms; Artificial Intelligence; Image Interpretation, Computer-Assisted; MicroRNAs; Microarray Analysis; Microscopy, Fluorescence; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353780
