Leis, Andrew P. and Beck, Martin and Gruska, Manuela and Best, Christoph and Hegerl, Reiner and Baumeister, Wolfgang and Leis, John W. (2006) Cryo-electron tomography of biological specimens. IEEE Signal Processing Magazine, 23 (3). pp. 95-103. ISSN 1053-5888
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Abstract
Cryo-electron tomography (CET) is an imaging technique capable of visualizing the three-dimensional (3-D) structure of complex viruses, cells, and tissues in hydrated state. With the current resolution of 4-5 nm, CET can resolve supramolecular complexes that are responsible for many cellular functions. This paper discusses the important considerations in CET of biological specimens and identify areas where digital signal processing can make a decisive contribution. Topics discussed include the principles of electron tomography and CET, image background and feature contrasts in CET, acquisition and alignment of projection images, reconstruction of the image volume, denoising and segmentation of tomograms, and feature recognition in cellular tomograms.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Permanent restricted access to paper due to Publisher copyright restrictions. See Publisher link. |
| Faculty / Department / School: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering |
| Date Deposited: | 11 Oct 2007 00:48 |
| Last Modified: | 02 Jul 2013 22:39 |
| Uncontrolled Keywords: | cryo-electron tomography; biological specimens; digital signal processing; medical imaging |
| Fields of Research : | 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing 11 Medical and Health Sciences > 1103 Clinical Sciences > 110320 Radiology and Organ Imaging 02 Physical Sciences > 0299 Other Physical Sciences > 029904 Synchrotrons; Accelerators; Instruments and Techniques |
| Socio-Economic Objective: | E Expanding Knowledge > 97 Expanding Knowledge > 970106 Expanding Knowledge in the Biological Sciences |
| Identification Number or DOI: | doi: 10.1016/j.bbmt.2005.11.292 |
| URI: | http://eprints.usq.edu.au/id/eprint/1621 |
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