Diameter estimation and automatic identification methods for colloidal gold in electron tomography image

Abstract

The invention provides a diameter estimation method for colloidal gold in an electron tomography image. The diameter estimation method comprises that 1) a series of estimation diameters are obtained within the value range close to the diameter of original colloidal gold; 2) the cross correlation coefficient between a manual template and an average template is calculated under each estimation diameter and serves as a template matching cross correlation coefficient, the manual template is a colloidal gold template directly generated according to the estimation diameter, and the average template is a colloidal gold template obtained by extracting colloidal gold according to the estimation diameter and averaging images in the extracted colloidal gold area; and 3) the accurate diameter of the colloidal god is determined according to template matching cross correlation coefficients corresponding to the different estimation diameters. The invention also provides a corresponding automatic identification method for colloidal gold. Methods of the invention are less dependent on parameters as the diameter and amount of the colloidal gold, and the identification rate is higher.

Description

technical field [0001] The invention relates to the technical field of electron tomography imaging of structural biology, in particular, the invention relates to a method for estimating and automatically identifying the diameter of colloidal gold in an electron tomography image. 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 electron...

AI Technical Summary

Problems solved by technology

And the existing colloidal gold automatic extraction algorithm (such as: RAPTOR algorithm, can refer to literature RAPTOR: Markovrandom field based automatic image alignment for electrontomography; Automatic acquisition of fiducial markers and alignment of images intiltseries for electrontomography) is very dependent on parameters such as the colloidal gold diameter of artificial input and number, if artificially estimated colloidal gold diameter and number deviation are bigger , will lead to large deviations in the extraction results of colloidal gold, and even errors

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