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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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Maiorca, Mauro1, 2, Autor
Hanssen, Eric2, 3, Autor
Kazmierczak, Edmund4, Autor
Maco, Bohumil5, Autor
Kudryashev, Misha6, Autor           
Hall, Richard7, Autor
Quiney, Harry2, 8, Autor
Tilley, Leann1, 2, Autor
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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Schlagwörter: Electron tomography; Denoising; Plasmodium; Non-linear anisotropic diffusion filtering
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2012-05-162012-02-292012-05-252012-06-052012-10-01
 Publikationsstatus: Erschienen
 Seiten: 11
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.jsb.2012.05.019
 Art des Abschluß: -

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Titel: Journal of Structural Biology
  Kurztitel : J. Struct. Biol.
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: San Diego, CA : Elsevier
Seiten: - Band / Heft: 180 (1) Artikelnummer: - Start- / Endseite: 132 - 142 Identifikator: ISSN: 1047-8477
CoNE: https://pure.mpg.de/cone/journals/resource/954922650160