Processing of Microarray Images
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  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  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.
KeywordsTrue Positive Spot Center Spot Detection Gridding Step Microarray Image