3-D reconstruction of 2-D crystals in real space

A new algorithm for three-dimensional reconstruction of two-dimensional crystals from projections is presented, and its applicability to biological macromolecules imaged using transmission electron microscopy (TEM) is investigated. Its main departures from the traditional approach is that it works i...

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Bibliographic Details
Published in:IEEE transactions on image processing 2004-04, Vol.13 (4), p.549-561
Main Authors: Marabini, R., Sorzano, C.O.S., Matej, S., Fernandez, J.J., Carazo, J.M., Herman, G.T.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Assembly
Bacillus Phages - chemistry
Capsid Proteins - chemistry
Capsid Proteins - ultrastructure
Computer Graphics
Crystallography - instrumentation
Crystallography - methods
Crystals
Electron microscopy
Exact sciences and technology
Fourier analysis
Image Enhancement - methods
Image Interpretation, Computer-Assisted - instrumentation
Image Interpretation, Computer-Assisted - methods
Image processing
Image reconstruction
Imaging, Three-Dimensional - methods
Information Storage and Retrieval - methods
Information, signal and communications theory
Iterative algorithms
Iterative methods
Macromolecular Substances
Microscopy, Electron - instrumentation
Microscopy, Electron - methods
Molecular Conformation
Pattern Recognition, Automated
Phantoms, Imaging
Projection
Proteins
Reconstruction
Reconstruction algorithms
Reproducibility of Results
Sensitivity and Specificity
Signal processing
Signal Processing, Computer-Assisted
Telecommunications and information theory
Three dimensional displays
Transmission electron microscopy
Two dimensional
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Description
Summary:A new algorithm for three-dimensional reconstruction of two-dimensional crystals from projections is presented, and its applicability to biological macromolecules imaged using transmission electron microscopy (TEM) is investigated. Its main departures from the traditional approach is that it works in real space, rather than in Fourier space, and it is iterative. This has the advantage of making it convenient to introduce additional constraints (such as the support of the function to be reconstructed, which may be known from alternative measurements) and has the potential of more accurately modeling the TEM image formation process. Phantom experiments indicate the superiority of the new approach even without the introduction of constraints in addition to the projection data.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2003.822620