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电子显微镜中局部散焦和样品倾斜的精确测定。

Accurate determination of local defocus and specimen tilt in electron microscopy.

作者信息

Mindell Joseph A, Grigorieff Nikolaus

机构信息

Membrane Transport Biophysics Unit, National Institute of Neurological Disease and Stroke, National Institutes of Health, 36 Convent Drive, MSC4066, Bethesda, MD 20892-4066, USA.

出版信息

J Struct Biol. 2003 Jun;142(3):334-47. doi: 10.1016/s1047-8477(03)00069-8.

Abstract

Accurate knowledge of defocus and tilt parameters is essential for the determination of three-dimensional protein structures at high resolution using electron microscopy. We present two computer programs, CTFFIND3 and CTFTILT, which determine defocus parameters from images of untilted specimens, as well as defocus and tilt parameters from images of tilted specimens, respectively. Both programs use a simple algorithm that fits the amplitude modulations visible in a power spectrum with a calculated contrast transfer function (CTF). The background present in the power spectrum is calculated using a low-pass filter. The background is then subtracted from the original power spectrum, allowing the fitting of only the oscillatory component of the CTF. CTFTILT determines specimen tilt parameters by measuring the defocus at a series of locations on the image while constraining them to a single plane. We tested the algorithm on images of two-dimensional crystals by comparing the results with those obtained using crystallographic methods. The images also contained contrast from carbon support film that added to the visibility of the CTF oscillations. The tests suggest that the fitting procedure is able to determine the image defocus with an error of about 10nm, whereas tilt axis and tilt angle are determined with an error of about 2 degrees and 1 degrees, respectively. Further tests were performed on images of single protein particles embedded in ice that were recorded from untilted or slightly tilted specimens. The visibility of the CTF oscillations from these images was reduced due to the lack of a carbon support film. Nevertheless, the test results suggest that the fitting procedure is able to determine image defocus and tilt angle with errors of about 100 nm and 6 degrees, respectively.

摘要

准确了解散焦和倾斜参数对于使用电子显微镜在高分辨率下确定三维蛋白质结构至关重要。我们提出了两个计算机程序,CTFFIND3和CTFTILT,它们分别从未倾斜标本的图像中确定散焦参数,以及从倾斜标本的图像中确定散焦和倾斜参数。这两个程序都使用一种简单的算法,将功率谱中可见的幅度调制与计算出的对比度传递函数(CTF)进行拟合。功率谱中存在的背景使用低通滤波器进行计算。然后从原始功率谱中减去背景,从而仅对CTF的振荡分量进行拟合。CTFTILT通过在图像上的一系列位置测量散焦,同时将它们限制在单个平面上来确定标本倾斜参数。我们通过将结果与使用晶体学方法获得的结果进行比较,在二维晶体的图像上测试了该算法。这些图像还包含来自碳支撑膜的对比度,这增加了CTF振荡的可见性。测试表明,拟合过程能够以约10nm的误差确定图像散焦,而倾斜轴和倾斜角的确定误差分别约为2度和1度。对从无倾斜或轻微倾斜标本记录的嵌入冰中的单个蛋白质颗粒的图像进行了进一步测试。由于缺乏碳支撑膜,这些图像中CTF振荡的可见性降低。然而,测试结果表明,拟合过程能够分别以约100nm和6度的误差确定图像散焦和倾斜角。

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