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-Structure paper
Title | Entropy-regularized deconvolution of cellular cryotransmission electron tomograms. |
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Journal, issue, pages | Proc Natl Acad Sci U S A, Vol. 118, Issue 50, Year 2021 |
Publish date | Dec 14, 2021 |
![]() | Matthew Croxford / Michael Elbaum / Muthuvel Arigovindan / Zvi Kam / David Agard / Elizabeth Villa / John Sedat / ![]() ![]() ![]() |
PubMed 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 ...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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Methods | EM (subtomogram averaging) / EM (tomography) |
Resolution | 25.0 - 30.0 Å |
Structure data | ![]() EMDB-24416: ![]() EMDB-24417: ![]() EMDB-24418: ![]() EMDB-24419: ![]() EMDB-24433: ![]() EMDB-24434: ![]() EMDB-24435: ![]() EMDB-24436: |
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