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Entropy-regularized deconvolution of cellular cryotransmission electron tomograms

Croxford, M and Elbaum, M and Arigovindan, M and Kam, Z and Agard, D and Villa, E and Sedat, J (2021) Entropy-regularized deconvolution of cellular cryotransmission electron tomograms. In: Proceedings of the National Academy of Sciences of the United States of America, 118 (50).

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Official URL: https://doi.org/10.1073/pnas.2108738118

Abstract

Cryo-electron tomography (cryo-ET) allows for the high-resolution visualization of biological macromolecules. However, the technique is limited by a low signal-to-noise ratio (SNR) and variance in contrast at different frequencies, as well as reduced Z resolution. Here, we applied entropy-regularized deconvolution (ER-DC) to cryo-ET data generated from transmission electron microscopy (TEM) and reconstructed using weighted back projection (WBP). We applied deconvolution to several in situ cryo-ET datasets and assessed the results by Fourier analysis and subtomogram analysis (STA). © 2021 National Academy of Sciences. All rights reserved.

Item Type: Journal Article
Publication: Proceedings of the National Academy of Sciences of the United States of America
Publisher: National Academy of Sciences
Additional Information: The copyright for this article belongs to the Author.
Keywords: article; controlled study; deconvolution; electron tomography; entropy; Fourier analysis; transmission electron microscopy
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 06 Jan 2022 11:35
Last Modified: 06 Jan 2022 11:35
URI: http://eprints.iisc.ac.in/id/eprint/70808

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