Improved TPS (thin plate spline) model based gel image correction algorithm

Abstract

The invention discloses an improved TPS (thin plate spline) model based gel image correction algorithm. The algorithm includes: comparing a distorted image with a template image to acquire a deformation degree coefficient beta and a column number nclm of the distorted image, and introducing a height correction coefficient to obtain a 'smile' deformation model; acquiring n pairs of corresponding distorted image mark point coordinates ipts and template image mark point coordinates opts in the distorted image and the template image, and utilizing the 'smile' deformation model to transform the coordinates ipts to obtain mark point coordinates Sipts; utilizing the mark point coordinates Sipts and the template image mark point coordinates opts to obtain unknown parameters wi (i=1...n), a0, ax and ay of the TPS deformation model; creating an image wimg which is equal to the distorted image in size and zero in gray value, and performing 'smile' deformation and TPS deformation on the coordinates; assigning the gray value of the template image to the image wimg with the gray value being zero according to the corresponding relation between the distorted image coordinates and the template image coordinates; considering the assigned image wimg as the corrected image. Compared with the original correction algorithm, the improved TPS model based gel image correction algorithm has the advantages that better correction effect is obtained, and good preconditions are provided for matching of gel images.

Description

technical field [0001] The invention relates to the technical field of computer-based two-way gel image analysis, in particular to a deformation correction method for two-way gel images. Background technique [0002] The method of 2-D gel electrophoresis dates back to 1975, but to this day the technique is still considered the most efficient method for achieving protein separations. The first dimension of the two-dimensional gel is separated by isoelectric focusing based on the different isoelectric points of the proteins, and the second dimension is separated by polyacrylamide gel electrophoresis (SDS-PAGE) according to the difference in molecular weight. Separated on a two-dimensional plane, the final result is scanned and visualized to obtain a two-dimensional gel (2-DE) image. In 2-DE images, proteins appear as dots of different shapes, sizes and grayscales. Due to the different structures of protein samples, for example, in different salt concentrations, the migration...

AI Technical Summary

Problems solved by technology

Looking at foreign research and analysis, the problem of gel image deformation that needs to be solved urgently is: due to the existence of various uncertain factors in the process of protein gel image acquisition, the distortion produced by gel images has the characteristics of diversification and uncertainty. How to choose a deformation function for these characteristics can not only ensure the smoothness of the deformation but also achieve a better matching effect, and provide a good precondition for the next step of matching

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