Name
Title | ||
|---|---|---|
Geometric alignment of 2D gel electrophoresis images using physics-based elastic registration |
Abstract | ||
|---|---|---|
A key technique for protein analysis is the geometric alignment of 2D gel electrophoresis (2-DE) images. We introduce a new hybrid elastic registration approach for 2-DE images, which is based on an analytic solution of the Navier equation. With this approach cross-effects in elastic deformations can be handled, which is important for the registration of 2-DE images. We have successfully applied our approach to register 2-DE gel images of different levels of complexity and have performed a quantitative evaluation of the results. We have also carried out a comparison with a previous hybrid elastic registration scheme. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISBI.2008.4541201 | Paris |
Keywords | Field | DocType |
biochemistry,bioelectric phenomena,electrophoresis,gels,image registration,medical image processing,molecular biophysics,proteins,2-DE gel images,2D gel electrophoresis images,Navier equation,elastic deformation,geometric alignment,hybrid elastic registration,physics-based elastic registration,protein analysis,quantitative evaluation,Cross-effects,Gaussian elastic body splines,Gel electrophoresis,Hybrid elastic registration | Two-dimensional gel electrophoresis,Computer vision,Computer science,Artificial intelligence,Analytic solution,Elasticity (economics),Image registration,Geometric alignment | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4244-2003-2 | 2 |
PageRank | References | Authors |
0.39 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Wörz | 1 | 256 | 32.58 |
| Marie-luise Winz | 2 | 4 | 0.86 |
| Karl Rohr | 3 | 340 | 48.69 |