Hierarchical transformation-guided image registration for two-dimensional gel electrophoresis image

Two-Dimensional Gel Electrophoresis Image Registration

Two-dimensional gel electrophoresis (2DGE) is the leading technique to separate individual proteins in biological samples with many biological and pharmaceutical applications, e.g., drug development. The technique results in an image in which the proteins appear as dark spots on a bright background. The analysis of these images is very time consuming and requires a large amount of manual work. ...

Multiresolution image registration for two-dimensional gel electrophoresis.

In proteomic research, two-dimensional electrophoresis (2-D) is an important tool for investigating differential patterns of qualitative and quantitative protein expression. The strength of the technique is due to its unrivalled power of being able to separate simultaneously thousands of proteins. The key to the comparison of 2-D protein profiles, however, lies in the use of a fast and robust i...

Hierarchical three-dimensional medical image registration

Medical imagery, in particular three-dimensional imagery, provides highly accurate and informative insight into internal anatomical structure and function. While such data is becoming readily available for the clinician, very few tools have been developed to properly exploit the structural and geometric information inherent in the images. A key problem in medical image analysis is registration–...

Contourlet-Based Edge Extraction for Image Registration

Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...

Two-dimensional Gel Electrophoresis