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  Improving the quality of electron tomography image volumes using pre-reconstruction filtering

Maiorca, M., Hanssen, E., Kazmierczak, E., Maco, B., Kudryashev, M., Hall, R., et al. (2012). Improving the quality of electron tomography image volumes using pre-reconstruction filtering. Journal of Structural Biology, 180(1), 132-142. doi:10.1016/j.jsb.2012.05.019.

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 Creators:
Maiorca, Mauro1, 2, Author
Hanssen, Eric2, 3, Author
Kazmierczak, Edmund4, Author
Maco, Bohumil5, Author
Kudryashev, Misha6, Author              
Hall, Richard7, Author
Quiney, Harry2, 8, Author
Tilley, Leann1, 2, Author
Affiliations:
1Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne, Vic. 3010, Australia, ou_persistent22              
2Australian Research Council Centre of Excellence for Coherent X-ray Science, The University of Melbourne, Melbourne, Vic. 3010, Australia, ou_persistent22              
3Electron Microscopy Unit, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne, Vic. 3010, Australia, ou_persistent22              
4Department of Computer Science and Software Engineering, The University of Melbourne, Vic. 3010, Australia, ou_persistent22              
5Department of Biochemistry, La Trobe University, Bundoora, Vic. 3086, Australia, ou_persistent22              
6Center for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel, 4058 Basel, Switzerland, ou_persistent22              
7Melbourne University Virtual Environments for Simulation, The University of Melbourne, Vic. 3010, Australia, ou_persistent22              
8School of Physics, The University of Melbourne, Vic. 3010, Australia, ou_persistent22              

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Free keywords: Electron tomography; Denoising; Plasmodium; Non-linear anisotropic diffusion filtering
 Abstract: Electron tomography produces highly magnified 3D image volumes useful for investigating the structure and function of cellular components. Image quality is degraded by multiple scattering events and quantum noise, which depend on the angle at which individual tilt projections are collected. We have adapted a biomedical imaging approach to improve image quality by enhancing individual tilt projections prior to volumetric reconstruction. Specifically, we have developed a family of non-linear anisotropic diffusion (NAD) filters parameterized by the tilt angle. We give a quantitative and qualitative evaluation of our pre-processing approach and the NAD filter. We show an improvement in the reconstructed volumes for tomograms generated from both plastic-embedded and cryo-stabilized samples of malaria parasite-infected erythrocytes.

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Language(s): eng - English
 Dates: 2012-05-162012-02-292012-05-252012-06-052012-10-01
 Publication Status: Published in print
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jsb.2012.05.019
 Degree: -

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Title: Journal of Structural Biology
  Abbreviation : J. Struct. Biol.
Source Genre: Journal
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Publ. Info: San Diego, CA : Elsevier
Pages: - Volume / Issue: 180 (1) Sequence Number: - Start / End Page: 132 - 142 Identifier: ISSN: 1047-8477
CoNE: https://pure.mpg.de/cone/journals/resource/954922650160