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

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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

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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.

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Algorithms Microscopy, Electron Multiprotein Complexes Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

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Peter van der Heide, Xiao-Ping Xu, Brad J Marsh, Dorit Hanein, Niels Volkmann. 2006-11-21. Efficient automatic noise reduction of electron tomographic reconstructions based on iterative median filtering.. https://doi.org/10.1016/j.jsb.2006.10.030

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