Efficient automatic noise reduction of electron tomographic reconstructions based on iterative median filtering

被引：50

作者：

van der Heide, Peter

Xu, Xiao-Ping

Marsh, Brad J.

Hanein, Dorit

Volkmann, Niels

机构：

[1] Burnham Inst Med Res, La Jolla, CA 92037 USA

[2] Univ Queensland, Inst Mol Biosci, Brisbane, Qld 4072, Australia

来源：

JOURNAL OF STRUCTURAL BIOLOGY | 2007年 / 158卷 / 02期

关键词：

electron microscopy; electron tomography; cryo-microscopy; noise reduction; image processing; automation;

D O I：

10.1016/j.jsb.2006.10.030

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

A simple, fast and efficient noise-reduction protocol for three-dimensional electron tomographic reconstructions of biological material is presented. The approach is based on iterative application of median filtering and shows promise for automatic noise reduction as a preprocessor for automated data analysis tools which aim at segmentation, feature extraction and pattern recognition. The application of this algorithm produces encouraging results for a wide variety of experimental and synthetic electron tomographic reconstructions. (c) 2006 Elsevier Inc. All rights reserved.

引用

收藏

页码：196 / 204

页数：9

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