A robust high-sensitivity algorithm for automated detection of proteins in two-dimensional electrophoresis gels
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
This article has been cited by other articles:
![]() |
G. Hsich, K. Kenney, C. J. Gibbs, K. H. Lee, and M. G. Harrington The 14-3-3 Brain Protein in Cerebrospinal Fluid as a Marker for Transmissible Spongiform Encephalopathies N. Engl. J. Med., September 26, 1996; 335(13): 924 - 930. [Abstract] [Full Text] [PDF] |
||||
