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Entropy-regularized deconvolution of cellular cryotransmission electron tomograms

Matthew Croxford, Michael Elbaum, Muthuvel Arigovindan, Zvi Kam, David Agard, Elizabeth Villa, John Sedat

Research output: Contribution to journalArticlepeer-review

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).

Original languageEnglish
Article numbere2108738118
JournalProceedings of the National Academy of Sciences of the United States of America
Volume118
Issue number50
DOIs
StatePublished - 14 Dec 2021

All Science Journal Classification (ASJC) codes

  • General

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