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Author Kahye Song ♦ Horowitz, M.
Sponsorship IEEE Signal Processing Society
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2007
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics
Subject Keyword Image reconstruction ♦ Minimization ♦ Tomography ♦ Signal processing algorithms ♦ Measurement ♦ Density functional theory ♦ Image resolution ♦ nuclear norm minimization ♦ Cryo-electron tomography ♦ subtomogram averaging ♦ alignment ♦ clustering
Abstract Cryo electron tomography is the only imaging modality that can capture individual cellular structures in situ at nanometer resolution. By using subtomogram averaging, a technique for simultaneous alignment and clustering, high-resolution reconstructions of macromolecules can often be achieved. Two main challenges of subtomogram averaging are a low SNR and missing frequency components that can lead to distortions in random directions in the reconstructed macromolecules. To cope with these challenges, we explore formulating the subtomogram averaging problem as a low-rank matrix recovery problem subject to constraints on the misfit to the Radon measurements. The rank minimization problem is relaxed to a nuclear-norm minimization problem that simultaneously reconstructs the three-dimensional structures and recovers the alignment parameters. The resulting reconstructions using small synthetic 32 × 32 × 32 data sets are denoised and refined versions of the target structures which are clustered very accurately. However, due to the increased computational complexity, the method is currently not able to align larger data sets.
Description Author affiliation :: Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
ISSN 19324553
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-01-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 10
Issue Number 1
Size (in Bytes) 5.27 MB
Page Count 14
Starting Page 47
Ending Page 60

Source: IEEE Xplore Digital Library