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© Oxford University Press

A robust high-sensitivity algorithm for automated detection of proteins in two-dimensional electrophoresis gels

Jerry E. Solomon and Michael G. Harrington

Division of Biology and The Beckman Institute, California Institute of Technology Pasadena, CA 91125 USA

The automated interpretation of two-dimensional gel electrophoresis images used in protein separation and analysis presents a formidable problem in the detection and characterization of ill-defined spatial objects. We describe in this paper a hierarchical algorithm that provides a robust, high-sensitivity solution to this problem, which can be easily adapted to a variety of experimental situations. The software implementation of this algorithm functions as part of a complete package designed for general protein gel analysis applications.


Received on January 27, 1992; accepted on July 29, 1992

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