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Anisotropic Nonlinear Filtering of Cellular Structures in Cryoelectron Tomography
September/October 2005 (vol. 7 no. 5)
pp. 54-61
Jos?-Jes? Fern?ndez, University of Almeria, Spain
Sam Li, MRC Laboratory of Molecular Biology
Cryo-electron tomography has emerged as a leading imaging technique in structural biology, with a unique potential for visualizing the molecular architecture of complex biological specimens. This technique ensures the best possible preservation of the biological material at expenses of producing extremely noisy three-dimensional density maps. A challenging computational task in this discipline is to increase the signal-to-noise ratio to allow their visualization and interpretation. This article describes an approach for denoising that is based on anisotropic nonlinear diffusion. The method combines structure-preserving noise reduction with a strategy to enhance local structures and a mechanism to further smooth the background. Furthermore, the authors have formulated a new criterion for stopping the iterative process. The performance of the approach is illustrated with its application to several complex biological specimens.
Index Terms:
image processing and computer vision, image enhancement, life and medical sciences, cryo-electron tomography, anisotropic nonlinear diffusion
Citation:
Jos?-Jes? Fern?ndez, Sam Li, "Anisotropic Nonlinear Filtering of Cellular Structures in Cryoelectron Tomography," Computing in Science and Engineering, vol. 7, no. 5, pp. 54-61, Sept.-Oct. 2005, doi:10.1109/MCSE.2005.89
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