Spot identification on 2D electrophoresis gel images

Weixing Wang

doi:10.1117/12.710884

27 October 2006 Spot identification on 2D electrophoresis gel images

Weixing Wang

Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60471L (2006) https://doi.org/10.1117/12.710884
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China

Abstract

2-D electrophoresis gel images can be used for identifying and characterizing many forms of a particular protein encoded by a single gene. Conventional approaches to gel analysis require the three steps: (1) Spot detection on each gel; (2) Spot matching between gels; and (3) Spot quantification and comparison. Many researchers and developers attempt to automate all steps as much as possible, but errors in the detection and matching stages are common. In order to carry out gel image analysis, one first needs to accurately detect and measure the protein spots in a gel image. This paper presents the algorithms for automatically delineating gel spots. The fusion of two types of segmentation algorithms was implemented. One is edge (discontinuity) based type, and the other is region based type. The primary integration of the two types of image segmentation algorithms have been tested too, the test results clearly show that the integrated algorithm can automatically delineate gel spots not only on a simple image and also on a complex image, and it is much better that either only edge based algorithm or only region based algorithm. Based on the testing and analysis results, the fusion of edge information and region information for gel image segmentation is good for this kind of images.

Citation Download Citation

Weixing Wang "Spot identification on 2D electrophoresis gel images", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60471L (27 October 2006); https://doi.org/10.1117/12.710884

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KEYWORDS

Image segmentation

Proteins

Image processing algorithms and systems

Image fusion

Algorithm development

Edge detection

Image processing

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