Processing of Microarray Images

Authors:
Fernando Mastandrea;Álvaro Pardo
Affiliations:
Department of Electrical Engineering, Universidad Católica del Uruguay,;Department of Electrical Engineering, Universidad Católica del Uruguay,
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

Citing 2
Cited 0

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A Deformable Grid-Matching Approach for Microarray Images

IEEE Transactions on Image Processing

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Abstract

In this paper we present the results of a system for processing microarray images which includes the gridding and spot detection steps. The main goal of this work is to develop automatic methods to process microarray images including confidence measures on the results. The gridding step is based on the method proposed in [1] and improves it by the automatic determination of the grid parameters, and a more precise orientation detection. For spot detection the algorithm uses the Number of False Alarms methodology [2] which can be used to finely adjust the spot position and provides a confidence measure on the detection. We test the results obtained by our method with simulated images against existing microarray software.