Issue No. 05 - September/October (2005 vol. 7)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2005.89
Sam Li , MRC Laboratory of Molecular Biology
Jos?-Jes? Fern?ndez , University of Almeria, Spain
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.
image processing and computer vision, image enhancement, life and medical sciences, cryo-electron tomography, anisotropic nonlinear diffusion
Sam Li, Jos?-Jes? Fern?ndez, "Anisotropic Nonlinear Filtering of Cellular Structures in Cryoelectron Tomography", Computing in Science & Engineering, vol. 7, no. , pp. 54-61, September/October 2005, doi:10.1109/MCSE.2005.89