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

ArticleinJournal of Structural Biology 158(2):196-204 · June 2007with12 Reads
Impact Factor: 3.23 · 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.