https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2021Luo_Opus 2026-05-24T20:20:44Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2021Luo_Opus&diff=3870&oldid=prev 2021-02-02T08:03:10Z

<p>Created page with &quot;== Citation == Luo, Z.; Campos-Acevedo, A. A.; Lv, L.; Wang, Q.; Ma, J. Sparseness and Smoothness Regularized Imaging for improving the resolution of Cryo-EM single-particle...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Luo, Z.; Campos-Acevedo, A. A.; Lv, L.; Wang, Q.; Ma, J. Sparseness and Smoothness Regularized Imaging for improving the resolution of Cryo-EM single-particle reconstruction. Proceedings of the National Academy of Sciences of the United States of America, 2021, 118<br /> <br /> == Abstract ==<br /> <br /> In this paper, we present a refinement method for cryo-electron microscopy (cryo-EM) single-particle reconstruction, termed as OPUS-SSRI (Sparseness and Smoothness Regularized Imaging). In OPUS-SSRI, spatially varying sparseness and smoothness priors are incorporated to improve the regularity of electron density map, and a type of real space penalty function is designed. Moreover, we define the back-projection step as a local kernel regression and propose a first-order method to solve the resulting optimization problem. On the seven cryo-EM datasets that we tested, the average improvement in resolution by OPUS-SSRI over that from RELION 3.0, the commonly used image-processing software for single-particle cryo-EM, was 0.64 Å, with the largest improvement being 1.25 Å. We expect OPUS-SSRI to be an invaluable tool to the broad field of cryo-EM single-particle analysis. The implementation of OPUS-SSRI can be found at https://github.com/alncat/cryoem. <br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.pnas.org/content/118/2/e2013756118<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

WikiSysop