Isotropic reconstruction for electron tomography with deep learning
Isotropic reconstruction for electron tomography with deep learning
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Cryogenic electron tomography (cryoET) allows visualization of cellular structures in situ. However, anisotropic resolution arising from the intrinsic “missing-wedge” problem has presented major challenges in visualization and interpretation of tomograms. Here, we have developed IsoNet, a deep learning-based software package that iteratively recons...
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Full title
Isotropic reconstruction for electron tomography with deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_9cf778f5ae4c469cace669fa3fbb7058
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9cf778f5ae4c469cace669fa3fbb7058
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-022-33957-8
