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

Peter van der Heide; Xiao-Ping Xu; Brad J Marsh; Dorit Hanein; Niels Volkmann

doi:10.1016/j.jsb.2006.10.030

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

J Struct Biol. 2007 May;158(2):196-204. doi: 10.1016/j.jsb.2006.10.030. Epub 2006 Nov 21.

Authors

Peter van der Heide¹, Xiao-Ping Xu, Brad J Marsh, Dorit Hanein, Niels Volkmann

Affiliation

¹ The Burnham Institute of Medical Research, La Jolla, CA 92037, USA.

PMID: 17224280
DOI: 10.1016/j.jsb.2006.10.030

Abstract

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 pre-processor 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.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Microscopy, Electron / methods*
Microscopy, Electron / standards*
Multiprotein Complexes / ultrastructure*

Substances

Multiprotein Complexes

Abstract

Publication types

MeSH terms

Substances

Grants and funding