Name
Abstract | ||
|---|---|---|
Objectives: 2D gel electrophoresis (2-DE) is the method of choice for analyzing protein expression in the field of proteomics, for example, comparing a reference with a test population. However, due to complex physical and chemical processes the locations of proteins generally vary in different 2-DE images. To cope with these variations, accurate geometric alignment of 2-DE images is important.Methods: We introduce a new elastic registration approach for 2-DE images, which is based on an analytic solution of the Navier equation using Gaussian elastic body splines (GEBS). With this approach cross-effects in elastic deformations can be handled, which is important for the registration of 2-DE images. in addition, landmark correspondences can be included to aid the registration in regions which are difficult to register using intensity information alone.Results:We have successfully applied our approach to register 2-DE gel images of different levels of complexity. In each case, gel images from a reference group are compared with a test group. To analyze the performance of our approach, we have carried out a quantitative evaluation of the registration results. More over, we have performed an experimental comparison with a previous elastic registration scheme.Conclusions: From the results we found that our approach is well-suited for the registration of 2-DE gel images of different levels of complexity and it turned out that the approach is superior to a previous hybrid scheme. Moreover, our approach is well-suited in a fully automatic setting and the performance can further be improved when landmark correspondences are available. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.3414/ME9229 | METHODS OF INFORMATION IN MEDICINE |
Keywords | Field | DocType |
Gel electrophoresis images, elastic registration, Gaussian elastic body splines, cross-effects, Navier equation | Computer vision,Two-dimensional gel electrophoresis,Artificial intelligence,Mathematics,Geometric alignment | Conference |
Volume | Issue | ISSN |
48 | 4 | 0026-1270 |
Citations | PageRank | References |
2 | 0.47 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Wörz | 1 | 256 | 32.58 |
| Marie-luise Winz | 2 | 4 | 0.86 |
| Karl Rohr | 3 | 340 | 48.69 |