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231223s2011 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2011.2107329
|2 doi
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|a DE-627
|b ger
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|e rakwb
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|a eng
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|a Lee, Seunghee
|e verfasserin
|4 aut
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|a Multiclass maximum-likelihood symmetry determination and motif reconstruction of 3-D helical objects from projection images for electron microscopy
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|c 2011
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 06.10.2011
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|a Date Revised 20.10.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Many micro- to nano-scale 3-D biological objects have a helical symmetry. Cryo electron microscopy provides 2-D projection images where, however, the images have low SNR and unknown projection directions. The object is described as a helical array of identical motifs, where both the parameters of the helical symmetry and the motif are unknown. Using a detailed image formation model, a maximum-likelihood estimator for the parameters of the symmetry and the 3-D motif based on images of many objects and algorithms for computing the estimate are described. The possibility that the objects are not identical but rather come from a small set of homogeneous classes is included. The first example is based on 316 128 × 100 pixel experimental images of Tobacco Mosaic Virus, has one class, and achieves 12.40-Å spatial resolution in the reconstruction. The second example is based on 400 128 × 128 pixel synthetic images of helical objects constructed from NaK ion channel pore macromolecular complexes, has two classes differing in helical symmetry, and achieves 7.84- and 7.90-Å spatial resolution in the reconstructions for the two classes
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|a Journal Article
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|a Research Support, N.I.H., Extramural
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|a Research Support, Non-U.S. Gov't
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| 650 |
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 650 |
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|a Potassium Channels
|2 NLM
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|a Sodium Channels
|2 NLM
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| 700 |
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|a Doerschuk, Peter C
|e verfasserin
|4 aut
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|a Johnson, John E
|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 20(2011), 7 vom: 18. Juli, Seite 1962-76
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|x 1941-0042
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|g volume:20
|g year:2011
|g number:7
|g day:18
|g month:07
|g pages:1962-76
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|u http://dx.doi.org/10.1109/TIP.2011.2107329
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