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Proceedings Paper

Learning-based method for spot addressing in microarray images
Author(s): Pekka Ruusuvuori; Antti Lehmussola; Olli Yli-Harja
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Paper Abstract

Addressing spots in microarray images and deriving expression values for corresponding genes are fundamental tasks in microarray image analysis. Reliable expression values can be obtained only if the spot locations are accurately known. Here, a novel approach for spot addressing in microarray images based on supervised learning is proposed. The aim is to locate each spot through classifying the image based on local features into spot centers and background using support vector machine classifier. The resulting spot location information is complemented through image processing methods in the post-processing phase. Our method, through searching locations for individual spots, enables accurate segmentation and extraction of expression values. The benefit of searching individual spots becomes clear in case of misaligned spots or spot rows.

Paper Details

Date Published: 1 March 2005
PDF: 10 pages
Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); doi: 10.1117/12.596494
Show Author Affiliations
Pekka Ruusuvuori, Tampere Univ. of Technology (Finland)
Antti Lehmussola, Tampere Univ. of Technology (Finland)
Olli Yli-Harja, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 5672:
Image Processing: Algorithms and Systems IV
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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