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COVARIANCE ESTIMATION USING CONJUGATE GRADIENT FOR 3D CLASSIFICATION IN CRYO-EM

Author(s): Anden, Joakim; Katsevich, Eugene; Singer, Amit

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dc.contributor.authorAnden, Joakim-
dc.contributor.authorKatsevich, Eugene-
dc.contributor.authorSinger, Amit-
dc.date.accessioned2019-08-29T17:01:24Z-
dc.date.available2019-08-29T17:01:24Z-
dc.date.issued2015en_US
dc.identifier.citationAnden, Joakim, Katsevich, Eugene, Singer, Amit. (2015). COVARIANCE ESTIMATION USING CONJUGATE GRADIENT FOR 3D CLASSIFICATION IN CRYO-EM. 2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 200 - 204en_US
dc.identifier.issn1945-7928-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1h14x-
dc.description.abstractClassifying structural variability in noisy projections of biological macromolecules is a central problem in Cryo-EM. In this work, we build on a previous method for estimating the covariance matrix of the three-dimensional structure present in the molecules being imaged. Our proposed method allows for incorporation of contrast transfer function and non-uniform distribution of viewing angles, making it more suitable for real-world data. We evaluate its performance on a synthetic dataset and an experimental dataset obtained by imaging a 70S ribosome complex.en_US
dc.format.extent200 - 204en_US
dc.language.isoen_USen_US
dc.relation.ispartof2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)en_US
dc.rightsAuthor's manuscripten_US
dc.titleCOVARIANCE ESTIMATION USING CONJUGATE GRADIENT FOR 3D CLASSIFICATION IN CRYO-EMen_US
dc.typeConference Articleen_US
dc.date.eissued2015-07-23en_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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