Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Book Chapter

Nonlinear Anisotropic Diffusion in Three-dimensional Electron Microscopy. In:

There are no MPG-Authors in the publication available
External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available

Frangakis, A., & Hegerl, R. (1999). Nonlinear Anisotropic Diffusion in Three-dimensional Electron Microscopy. In:. In G. G. Leeuwen, J. Hartmanis, & J. van (Eds.), Lecture Notes in Computer Science (pp. 386-397). Berlin: Springer Verlag.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-71C9-F
Electron tomography is a powerful tool for investigating the three-dimensional (3d) structure of biological objects at a resolution in the nanometer range. however, visualization and interpretation of the resulting volumetric data is a very difficult task due to the extremely low signal to noise ratio (<0db). in this paper, an approach for noise reduction in volumetric data is presented, based on nonlinear anisotropic diffusion, using a hybrid of the edge enhancing and the coherence enhancing techniques. when applied to both, artificial or real data sets, the method turns out to be superior to conventional filters. in order to assess noise reduction and structure preservation experimentally, resolution tests commonly used in structure analysis are applied to the data in the frequency domain.