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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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Abstract: Classifying 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.
Publication Date: 2015
Electronic Publication Date: 23-Jul-2015
Citation: Anden, 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 - 204
ISSN: 1945-7928
Pages: 200 - 204
Type of Material: Conference Article
Journal/Proceeding Title: 2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
Version: Author's manuscript



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