Chromosome Counting via Digital Image Analysis (WA-P8)

Author(s) : Victor Gajendran (University of Arizona, USA) Jeffrey J. Rodriguez (University of Arizona, USA)

Abstract : Currently, cytogenetic analysis is done using semi-automatic methods, involving substantial human intervention, which is slow and expensive. Chromosome counting is of significant economical importance, for it accelerates the karyotyping process, thereby facilitating quicker and less expensive cytogenetic analysis. In this paper, we present an automated counting algorithm based on digital image analysis. The algorithm was tested on a metaphase image database, with a 6% error rate.

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