title: Efficient automatic noise reduction of electron tomographic reconstructions based on iterative median filtering.
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.
authors.affiliation: The Burnham Institute of Medical Research, La Jolla, CA 92037, USA.
authors.forename: Peter
authors.initials: P
authors.lastname: van der Heide
authors.forename: Xiao-Ping
authors.initials: XP
authors.lastname: Xu
authors.forename: Brad J
authors.initials: BJ
authors.lastname: Marsh
authors.forename: Dorit
authors.initials: D
authors.lastname: Hanein
authors.forename: Niels
authors.initials: N
authors.lastname: Volkmann
mesh_terms: D000465:Algorithms; D008854:Microscopy, Electron / Q000379:methods* / Q000592:standards*; D046912:Multiprotein Complexes / Q000648:ultrastructure*
chemical_list: D046912:Multiprotein Complexes