{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/improving-the-resolution-of-cryo-em-single","title":"Improving the resolution of Cryo-EM single particle analysis","arxiv_id":"1905.13408","date":"2020-03-11","proceeding":null,"authors":[],"abstract":"We presented a new 3D refinement method for Cryo-EM single particle analysis\nwhich can improve the resolution of final electron density map in this paper.\nWe proposed to enforce both sparsity and smoothness to improve the regularity\nof electron density map in the refinement process. To achieve this goal, we\ndesigned a novel type of real space penalty function and incorporated it into\nthe refinement process. We bridged the backprojection step with local kernel\nregression, thus enabling us to embed the 3D model in reproducing kernel\nHilbert space using specific kernels. We also proposed a first order method to\nsolve the resulting optimization problem and implemented it efficiently with\nCUDA. We compared the performance of our new method with respect to the\ntraditional method on real datasets using a set of widely used metrics for\nCryo-EM model validation. We demonstrated that our method outperforms the\ntraditional method in terms of those metrics. The implementation of our method\ncan be found at https://github.com/alncat/cryoem.","url_abs":"http://arxiv.org/abs/1905.13408v5","url_pdf":"http://arxiv.org/pdf/1905.13408v5.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"improving-the-resolution-of-cryo-em-single","repo_url":"https://github.com/alncat/cryoem","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"single-particle-analysis","task_name":"Single Particle Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}