Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-05-18T03:04:25.616Z Has data issue: false hasContentIssue false

3D Reconstruction from Single Particles: Improved Orientation Determination from Noisy Images

Published online by Cambridge University Press:  02 July 2020

F.P. Ottensmeyer
Affiliation:
Department of Medical Biophysics, University of Toronto and Ontario Cancer Institute, Toronto, ONM5G 2M9, Canada;
M. Timmer
Affiliation:
Department of Medical Biophysics, University of Toronto and Ontario Cancer Institute, Toronto, ONM5G 2M9, Canada;
K. Allen
Affiliation:
Department of Medical Biophysics, University of Toronto and Ontario Cancer Institute, Toronto, ONM5G 2M9, Canada;
A.B. Fernandes
Affiliation:
Department of Medical Biophysics, University of Toronto and Ontario Cancer Institute, Toronto, ONM5G 2M9, Canada;
K.W. Moremen
Affiliation:
Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA30602-7229, U.S.A.
Get access

Extract

The correct reconstruction of the 3D structure from electron micrographs of sets of individual macromolecules or macromolecular assemblies depends crucially on the alignment and orientation determination of the individual images. The lateral alignment from one image to the next is generally easily accomplished by calculating the centre of mass of the individual molecular micrographs. For relatively noise-free pairs of images of unknown structures the sinogram correlation function provides common axes which can determine a correct angular orientation for any set of three images, building consecutively to a complete orientation determination for all images [1]. Low-dose images, however, are inherently noisy. For noisy images the angle determination becomes more problematical, since any fourth noisy image will have three different orientations, each with respect to one of the three possible pairs of three previously oriented noisy images. As more noisy images are added to the set, the number of possible orientations for any given image grow factorially.

Type
Computational Advances and Enabling Technologies for 3D Microscopies in Biology
Copyright
Copyright © Microscopy Society of America 1997

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.van Heel, M., Ultramicroscopy 21(1987)111.10.1016/0304-3991(87)90078-7CrossRefGoogle Scholar
2.Farrow, N.A.and Ottensmeyer, F.P., J. Opt. Soc. Am. A9(1992) 1749.10.1364/JOSAA.9.001749CrossRefGoogle Scholar
3.Farrow, N.A. and Ottensmeyer, F.P., Ultramicroscopy 52(1993)141.10.1016/0304-3991(93)90185-ZCrossRefGoogle Scholar
4.Czarnota, G.J.et al., J. Struct. BiolA 13(1994)35.10.1006/jsbi.1994.1030CrossRefGoogle Scholar