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A fast spot segmentation algorithm for two-dimensional gel electrophoresis analysis.

Y Wu·P F Lemkin·K Upton
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Abstract

An important issue in the automation of two-dimensional gel electrophoresis image analysis is the detection and quantification of protein spots. A spot segmentation algorithm must detect, define the extent of, and measure the integrated density of spots under a wide variety of actual gel image conditions. Besides these functions, the algorithm must be memory efficient to be able to process very large gel images and do this in a reasonable amount of computation time on low-cost computers, such as workstations and personal computers. We have developed a fast spot segmentation algorithm, extending the GELLAB-II segmenter, which extracts spots in a single raster scanning pass through the gel image. The performance analysis of the algorithm will be given in the paper as well as a discussion of the algorithm.

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AlgorithmsAutoradiographyElectrophoresis, Gel, Two-DimensionalHumansImage Processing, Computer-AssistedLeukemiaJournal Article

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BibTeXRIS

Y Wu, P F Lemkin, K Upton. 1993. A fast spot segmentation algorithm for two-dimensional gel electrophoresis analysis.. https://doi.org/10.1002/elps.11501401208

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