Advertisement

A Multiscale Decomposition Approach to Gel Image Interpretation

  • Xiaoran Mo
  • Roland Wilson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

Two-dimensional (2-D) polyacrylamide gel electrophoresis (PAGE) images are widely used in the area of Proteomics. In this paper, a region-based multiscale decomposition approach to gel image interpretation is presented. Instead of segmentation of each individual protein spot, the gel image is decomposed into small local regions with a quadtree structure. 2-D Gaussian functions are used to model local image features. Those local regional features will be used for further statistical analysis to extract discriminant features that distinguish different classes of gels. After a description of the method, experimental results are presented to show its potential in representing the protein related pixel intensities of the gel images.

Keywords

Protein Spot Residual Error Window Function Image Block Spot Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Lipkin, L.E., Lemkin, P.F.: Data-Base Techniques for Multiple Two-Dimensional Polyacrylamide Gel Electrophoresis Analyses. Journal of Clinical Chemistry, Vol. 26, No. 10 (1980) 1403–1412.Google Scholar
  2. 2.
    Skolnick, M.M.: Application of Morphological Transformations to the Analysis of Two-Dimensional Electrophoretic Gels of Biological Materials. Computer Vision, Graphics, and Image Processing, Vol. 35 (1986) 306–332.CrossRefGoogle Scholar
  3. 3.
    Pleißner, K.P., Hoffmann, F., Kriegel, K., Wenk, C., Wegner, S., Sahlström, A., Oswald, H., Alt, H., Fleck, E.: New Algorithm Approaches to Protein Spot Detection and Pattern Matching in Two-Dimensional Electrophoresis Gel Databases. Electrophoresis, Vol. 20 (1999) 755–765.CrossRefGoogle Scholar
  4. 4.
    Anderson, N.L., Taylor, J., Scandora, A.E., Coulter, B.P., Anderson, N.G.: The TYCHO System for Computer Analysis of Two-Dimensional Gel Electrophoresis Patterns. Clinical Chemistry, Vol. 27, No. 11 (1981) 1807–1820.Google Scholar
  5. 5.
    Brown, W.T., Ezer, A.: A Computer Program Using Gaussian Fitting for Evaluation of Two-Dimensional Gels. Journal of Clinical Chemistry, Vol. 28, No. 4 (1982) 1041–1044.Google Scholar
  6. 6.
    Garrels, J.I.: The QUEST System for Two-Dimensional Gels. Journal of Biological Chemistry, Vol. 264, No. 9 (1989) 5269–5282.Google Scholar
  7. 7.
    Monardo, P.J., Boutell, T., Garrels, J.I., Latter, G.I.: A Distributed System for Two-Dimensional Gel Analysis. Journal of Computer Applications in the Biosciences (CABIOS), Vol. 10, No. 2 (1994) 137–143.Google Scholar
  8. 8.
    Bettens, E., Scheunders, P., Sijbers, J., Van Dyck, D., Moens, L.: Automatic Segmentation and Modelling of Two-Dimensional Electrophoresis Gels. Proceedings IEEE International Conference on Image Processing (1996) 665–668.Google Scholar
  9. 9.
    Wilson, R.: Modelling of 2D Gel Electrophoresis Images for Proteomics Databases. Proceedings on the 16th International Conference on Pattern Recognition (2002) 767–770.Google Scholar
  10. 10.
    Bhalerao, A., Wilson, R.: Estimating Local and Global Structure using a Gaussian Intensity Model. Proceedings of Medical Image Understanding and Analysis (MIUA) (2001).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Xiaoran Mo
    • 1
  • Roland Wilson
    • 1
  1. 1.University of WarwickCoventryUK

Personalised recommendations