Entropy Regularized Deconvolution of Cellular Cryo-Transmission Electron Tomograms
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CC-BY-NC-ND-4.0
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Entropy regularized deconvolution was applied to cryo-electron tomography data to improve signal-to-noise ratio and contrast, and Fourier and subtomogram analysis confirmed improved reconstructions.
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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-electron tomography data generated from transmission electron microscopy (TEM) and reconstructed using weighted back projection (WBP). We applied DC to several in situ cryo-ET data sets, and assess the results by Fourier analysis and subtomogram analysis (STA).
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Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00
- unpaywall
- last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-NC-ND-4.0