Automatic registration and segmentation algorithm for multiple electrophoresis images

Matthew S. Baker; Harald Busse; Martin Vogt

doi:10.1117/12.387705

6 June 2000 Automatic registration and segmentation algorithm for multiple electrophoresis images

Matthew S. Baker, Harald Busse, Martin Vogt

Proceedings Volume 3979, Medical Imaging 2000: Image Processing; (2000) https://doi.org/10.1117/12.387705
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

We present an algorithm for registering, segmenting and quantifying multiple scanned electrophoresis images. (2D gel) Electrophoresis is a technique for separating proteins or other macromolecules in organic material according to net charge and molecular mass and results in scanned grayscale images with dark spots against a light background marking the presence of such macromolecules. The algorithm begins by registering each of the images using a non-rigid registration algorithm. The registered images are then jointly segmented using a Markov random field approach to obtain a single segmentation. By using multiple images, the effect of noise is greatly reduced. We demonstrate the algorithm on several sets of real data.

Citation Download Citation

Matthew S. Baker, Harald Busse, and Martin Vogt "Automatic registration and segmentation algorithm for multiple electrophoresis images", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); https://doi.org/10.1117/12.387705

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