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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lee, S. Chen, Q. Doerschuk, P.C. |
| Copyright Year | 2009 |
| Description | Author affiliation: Biomedical Engineering and Electrical and Computer Engineering, Cornell University, 305 Phillips Hall, Ithaca, NY 14853, USA (Lee, S.; Chen, Q.; Doerschuk, P.C.) |
| Abstract | Statistical algorithms are described for 3-D signal reconstruction problems where the object has a helical symmetry with unknown symmetry parameters and the data is cryo electron micrographs of multiple identical instances of the object. Two object models are described: a Fourier-Bessel series model for a helical object and a spherical harmonics series model for a motif which is then replicated in an array to form a helical object where, in both cases, the unknown parameters are the coefficients in the series. The measured images are essentially noisy 2-D projections of the 3-D electron scattering intensity where the projection orientation is not known. A maximum likelihood estimator computed by an expectation-maximization algorithm is used in both cases to estimate the unknown parameters. |
| Starting Page | 145 |
| Ending Page | 148 |
| File Size | 415079 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439317 |
| ISSN | 19457928 |
| DOI | 10.1109/ISBI.2009.5193004 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Three dimensional displays Electron microscopy Image reconstruction Maximum likelihood estimation Biomedical engineering Scattering Nanobioscience Biomedical computing Data engineering Signal reconstruction tomography helical symmetry 3-D reconstruction virus electron microscopy |
| Content Type | Text |
| Resource Type | Article |
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