Learning-based method for spot addressing in microarray images

Pekka Ruusuvuori; Antti Lehmussola; Olli Yli-Harja

doi:10.1117/12.596494

1 March 2005 Learning-based method for spot addressing in microarray images

Pekka Ruusuvuori, Antti Lehmussola, Olli Yli-Harja

Proceedings Volume 5672, Image Processing: Algorithms and Systems IV; (2005) https://doi.org/10.1117/12.596494
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

Citation Download Citation

Pekka Ruusuvuori, Antti Lehmussola, and Olli Yli-Harja "Learning-based method for spot addressing in microarray images", Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); https://doi.org/10.1117/12.596494

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KEYWORDS

Image classification

Image segmentation

Machine learning

Binary data

Feature extraction

Image analysis

Image processing

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