Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2007-10-16
pubmed:abstractText
The coexistence of multiple distinct structural states often obstructs the application of three-dimensional cryo-electron microscopy to large macromolecular complexes. Maximum likelihood approaches are emerging as robust tools for solving the image classification problems that are posed by such samples. Here, we propose a statistical data model that allows for a description of the experimental image formation within the formulation of 2D and 3D maximum-likelihood refinement. The proposed approach comprises a formulation of the probability calculations in Fourier space, including a spatial frequency-dependent noise model and a description of defocus-dependent imaging effects. The Expectation-Maximization-like algorithms presented are generally applicable to the alignment and classification of structurally heterogeneous projection data. Their effectiveness is demonstrated with various examples, including 2D classification of top views of the archaeal helicase MCM and 3D classification of 70S E. coli ribosome and Simian Virus 40 large T-antigen projections.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-10896143, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-10944333, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-11472094, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-11567148, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-12591914, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-12781660, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-14643207, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-15099579, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-15477099, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-15556702, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-15721578, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-15797734, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-15808859, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-16174429, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-16204112, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-16221680, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-16415341, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-16481006, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-16828314, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-16939203, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-17179934, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-17201674, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-17223536, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-2179560, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-2998049, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-3001340, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-3212837, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-3660491, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-9144182, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-9561797, http://linkedlifedata.com/resource/pubmed/commentcorrection/17937907-9774537
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0969-2126
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1167-77
pubmed:dateRevised
2011-8-1
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Modeling experimental image formation for likelihood-based classification of electron microscopy data.
pubmed:affiliation
Centro Nacional de Biotecnología CSIC, Cantoblanco, 28049, Madrid, Spain.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural