Image matching in alignment of electron tomographic images and method for generating colloidal gold dot chains

Abstract

The invention discloses an image matching method in alignment of electron tomographic images. The method comprises the following steps of: 1) finding out four-point affine groups in a colloidal gold point set S of a first image and the four-point affine groups in a colloidal gold point set M of a second image; 2) randomly selecting the four-point affine groups in the point set M, finding out the four-point affine group, of which the consistency ratio is approximate to that of the four-point affine group in the point set M, from the point set S to use the found four-point affine group as a mapping four-point affine group, and estimating affine transformation T(.) from the first image to the second image based on the mapping four-point affine group; 3) putting the colloidal gold points of the first image into the affine transformation T(.) to calculate the number of approximation points of the colloidal gold points in the first image, subjected to the affine transformation, with the colloidal gold points in the second image; 4) executing the steps 2) and 3) repeatedly until finding out the affine transformation T(.) matching the greatest number of approximation points, thereby obtaining matched colloidal gold point set pairs in the two electron microscope images. According to the invention, matching of colloidal gold points is realized based on global geometric information, error matching can be reduced effectively, and accuracy of alignment of electron tomographic images is improved.

Description

technical field [0001] The invention relates to the technical field of electron tomography imaging of structural biology, in particular, the invention relates to an image matching method in the alignment of electron tomography images and a method for generating colloidal gold dot chains. Background technique [0002] The three-dimensional reconstruction technology of electron microscope (referred to as electron microscope), which uses the projection image sequence of biological macromolecules captured by electron microscope to perform three-dimensional reconstruction to obtain the three-dimensional density structure of biological macromolecules, is a mainstream technical support method in structural biology research. [0003] According to the different characteristics of projection and the scope of application of molecular samples, the three-dimensional reconstruction technology of electron microscope can be divided into: electron crystallography, single particle analysis and...

AI Technical Summary

Problems solved by technology

This algorithm is effective in some cases, but when the number of surrounding colloidal gold is large, matching errors often occur

Because this type of algorithm only considers the positional relationship between a colloidal gold and the colloidal gold in a certain surrounding area, it is based on the matching of local geometric information, and the local geometric information cannot guarantee global consistency. Matching errors tend to occur when the image offset of

However, if the existing alignment algorithm is used to align each electron microscope image according to the global geometric information, the computational complexity will be greatly increased, and this increase in computational complexity is massive, which often leads to the inability of the algorithm to be realized.

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