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タイトル | Entropy-regularized deconvolution of cellular cryotransmission electron tomograms. |
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ジャーナル・号・ページ | Proc Natl Acad Sci U S A, Vol. 118, Issue 50, Year 2021 |
掲載日 | 2021年12月14日 |
著者 | Matthew Croxford / Michael Elbaum / Muthuvel Arigovindan / Zvi Kam / David Agard / Elizabeth Villa / John Sedat / |
PubMed 要旨 | 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). |
リンク | Proc Natl Acad Sci U S A / PubMed:34876518 / PubMed Central |
手法 | EM (サブトモグラム平均) / EM (トモグラフィー) |
解像度 | 25.0 - 30.0 Å |
構造データ | EMDB-24416: EMDB-24417: EMDB-24418: EMDB-24419: EMDB-24433: EMDB-24434: EMDB-24435: EMDB-24436: |
由来 |
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