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

The Burnham Institute of Medical Research, La Jolla, CA 92037, USA.
Journal of Structural Biology (Impact Factor: 3.23). 06/2007; 158(2):196-204. DOI: 10.1016/j.jsb.2006.10.030
Source: PubMed

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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    • "Pre-filtering is an effective way to denoise the images prior to segmentation – in particular 3D median filter and non-linear anisotropic diffusion filter [10]. These two pre-filters were proven to be applicable for denoising cellular tomography [10], [13]. Based on the method descriptions, they could significantly improve the signal-to-noise ratios (SNR) of these ET images prior to organelle segmentation, thereby improving the quality of the latter. "
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