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 language | English |
|---|---|
| Article number | e2108738118 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Volume | 118 |
| Issue number | 50 |
| DOIs | |
| State | Published - 14 Dec 2021 |
All Science Journal Classification (ASJC) codes
- General
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