Entropy-regularized deconvolution of cellular cryotransmission electron tomograms
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Updated: Oct 10, 2025

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
Published on: March 19, 2021
Matthew Croxford1, Michael Elbaum2, Muthuvel Arigovindan3
1Section of Molecular Biology, Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093.
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).
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