Automated electron microscope tomography using robust prediction of specimen movements

Automated electron microscope tomography using robust prediction of specimen movements
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DOI:
10.1016/j.jsb.2005.07.007
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发表时间:
2005-10-01
影响因子:
3
通讯作者:
Mastronarde, DN
Mastronarde, DN
中科院分区:
生物学3区
文献类型:
--
作者:
Mastronarde, DN

文献摘要

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一种新的方法,开发自动采集图像在一系列的标本倾斜,所需的层析重建。该方法使用在先前的倾斜角度的样品位置的变化来预测在当前的倾斜角度的位置。如果预测的统计误差足够低,则跳过位置或焦点的实际测量。该方法允许在条件良好时快速获取倾斜系列,但在必要时福尔斯又回到拍摄聚焦和跟踪图像的传统方法。该方法已在一个程序中实现,SerialEM,提供了一个有效的环境,数据采集。该程序包括能量滤波器的控制以及低剂量成像模式,在该模式下,跟踪和聚焦发生在远离感兴趣区域的位置。该程序可以自动获取重叠帧的蒙太奇,允许比CCD相机的场更大的区域的断层扫描。它还包括用于在样本位置之间导航和查找感兴趣区域的工具。(C)2005年爱思唯尔公司All rights reserved.
A new method was developed to acquire images automatically at a series of specimen tilts, as required for tomographic reconstruction. The method uses changes in specimen position at previous tilt angles to predict the position at the current tilt angle. Actual measurement of the position or focus is skipped if the statistical error of the prediction is low enough. This method allows a tilt series to be acquired rapidly when conditions are good but falls back toward the traditional approach of taking focusing and tracking images when necessary. The method has been implemented in a program, SerialEM, that provides an efficient environment for data acquisition. This program includes control of an energy filter as well as a low-dose imaging mode, in which tracking and focusing occur away from the area of interest. The program can automatically acquire a montage of overlapping frames, allowing tomography of areas larger than the field of the CCD camera. It also includes tools for navigating between specimen positions and finding regions of interest. (C) 2005 Elsevier Inc. All rights reserved.