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231225s2019 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2019.2915631
|2 doi
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Xu, Nan
|e verfasserin
|4 aut
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| 245 |
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|a Reconstruction of Stochastic 3D Signals With Symmetric Statistics From 2D Projection Images Motivated by Cryo-Electron Microscopy
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|c 2019
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 27.08.2019
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Cryo-electron microscopy provides 2D projection images of the 3D electron scattering intensity of many instances of the particle under study (e.g., a virus). Both symmetry (rotational point groups) and heterogeneity are important aspects of biological particles and both aspects can be combined by describing the electron scattering intensity of the particle as a stochastic process with a symmetric probability law and, therefore, symmetric moments. A maximum likelihood estimator implemented by an expectation-maximization algorithm is described, which estimates the unknown statistics of the electron scattering intensity stochastic process from the images of instances of the particle. The algorithm is demonstrated on the bacteriophage HK97 and the virus [Formula: see text]. The results are contrasted with the existing algorithms, which assume that each instance of the particle has the symmetry rather than the less restrictive assumption that the probability law has the symmetry
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|a Journal Article
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|a Doerschuk, Peter C
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 28(2019), 11 vom: 15. Nov., Seite 5479-5494
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|x 1941-0042
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|g volume:28
|g year:2019
|g number:11
|g day:15
|g month:11
|g pages:5479-5494
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|u http://dx.doi.org/10.1109/TIP.2019.2915631
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