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