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通过小波匹配进行方向确定以实现对噪声极大的电子显微镜病毒图像的三维重建

Orientation determination by wavelets matching for 3D reconstruction of very noisy electron microscopic virus images.

作者信息

Saad Ali Samir

机构信息

Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, P,O, Box, 10219, Riyadh 11433, Kingdom of Saudi Arabia.

出版信息

BMC Struct Biol. 2005 Mar 2;5:5. doi: 10.1186/1472-6807-5-5.

Abstract

BACKGROUND

In order to perform a 3D reconstruction of electron microscopic images of viruses, it is necessary to determine the orientation (Euler angels) of the 2D projections of the virus. The projections containing high resolution information are usually very noisy. This paper proposes a new method, based on weighted-projection matching in wavelet space for virus orientation determination. In order to speed the retrieval of the best match between projections from a model and real virus particle, a hierarchical correlation matching method is also proposed.

RESULTS

A data set of 600 HSV-1 capsid particle images in different orientations was used to test the proposed method. An initial model of about 40 A resolutions was used to generate projections of an HSV-1 capsid. Results show that a significant improvement, in terms of accuracy and speed, is obtained for the initial orientation estimates of noisy herpes virus images. For the bacteriophage (P22), the proposed method gave the correct reconstruction compared to the model, while the classical method failed to resolve the correct orientations of the smooth spherical P22 viruses.

CONCLUSION

This paper introduces a new method for orientation determination of low contrast images and highly noisy virus particles. This method is based on weighted projection matching in wavelet space, which increases the accuracy of the orientations. A hierarchical implementation of this method increases the speed of orientation determination. The estimated number of particles needed for a higher resolution reconstruction increased exponentially. For a 6 A resolution reconstruction of the HSV virus, 50,000 particles are necessary. The results show that the proposed method reduces the amount of data needed in a reconstruction by at least 50 %. This may result in savings 2 to 3 man-years invested in acquiring images from the microscope and data processing. Furthermore, the proposed method is able to determine orientations for some difficult particles like P22 with accuracy and consistency. Recently a low PH sindbis capsid was determined with the proposed method, where other methods based on the common line fail.

摘要

背景

为了对病毒的电子显微镜图像进行三维重建,有必要确定病毒二维投影的方向(欧拉角)。包含高分辨率信息的投影通常噪声很大。本文提出了一种基于小波空间加权投影匹配的病毒方向确定新方法。为了加快从模型投影与真实病毒粒子之间最佳匹配的检索速度,还提出了一种分层相关匹配方法。

结果

使用一组600张不同方向的单纯疱疹病毒1型(HSV-1)衣壳粒子图像数据集来测试所提出的方法。使用约40埃分辨率的初始模型生成HSV-1衣壳的投影。结果表明,对于噪声较大的疱疹病毒图像的初始方向估计,在准确性和速度方面都有显著提高。对于噬菌体(P22),与模型相比,所提出的方法给出了正确的重建结果,而经典方法未能解析光滑球形P22病毒的正确方向。

结论

本文介绍了一种用于低对比度图像和高噪声病毒粒子方向确定的新方法。该方法基于小波空间加权投影匹配,提高了方向的准确性。该方法的分层实现提高了方向确定的速度。更高分辨率重建所需的估计粒子数量呈指数增加。对于HSV病毒6埃分辨率的重建,需要50000个粒子。结果表明,所提出的方法将重建所需的数据量至少减少了50%。这可能节省2至3个人年用于从显微镜获取图像和数据处理的投入。此外,所提出的方法能够准确且一致地确定一些困难粒子(如P22)的方向。最近,利用所提出的方法确定了低pH值辛德毕斯病毒衣壳的方向,而其他基于共线的方法在此失败。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b1b/555555/dcbbe42ad2a4/1472-6807-5-5-1.jpg

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