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Journal of Structural Biology
Volume 157, Issue 1, January 2007, Pages 126-137
Software tools for macromolecular microscopy
 
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doi:10.1016/j.jsb.2006.07.014    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier Inc. All rights reserved.

3D reconstruction and processing of volumetric data in cryo-electron tomography

Hanspeter Winklera, E-mail The Corresponding Author

aFlorida State University, Institute of Molecular Biophysics, Tallahassee, FL 32306, USA

Received 17 April 2006; 
revised 15 July 2006; 
accepted 29 July 2006. 
Available online 11 August 2006.

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Abstract

A software package is presented that was primarily developed for electron tomography in biological research. It comprises routines for preprocessing micrographs, CTF-correction of images of untilted and tilted specimens, alignment of tilt series, 3D reconstruction, spatial averaging of paracrystalline specimens, alignment of single particles or components of larger macromolecular assemblies, correlation averaging, multivariate statistical analysis, classification, and volume reassembly, in which molecular components in raw tomograms are replaced by averaged versions with higher signal-to-noise ratio. The emphasis for image analysis is placed on the processing of large sets of individual molecular volumes. The design philosophy of the software is both simplicity and interoperability, i.e. to write standalone programs for simple tasks that are combined through shell scripting to provide more complex functionality, and to communicate with other software via common image formats. This paper gives an overview of the current state of the programs and some applications to cryo-electron tomography.

Keywords: Cryo-electron tomography; Protein tomography; Single particle analysis; Multivariate statistical analysis; Hierarchical ascendant classification; Unbending; Spatial averaging; Image processing

Article Outline

1. Introduction
2. Overview
3. Processing of volumetric data
3.1. Tomography
3.2. Spatial averaging
3.3. Motif selection and alignment
3.4. Multivariate statistical analysis and classification
3.5. Image interpretation
4. Technical implementation details
4.1. Software architecture
4.2. Internal and external data representation
5. Conclusion
Acknowledgements
References






Journal of Structural Biology
Volume 157, Issue 1, January 2007, Pages 126-137
Software tools for macromolecular microscopy
 
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