https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2018Hu_ParticleFilter2018Hu ParticleFilter - Revision history2026-05-24T21:06:19ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2018Hu_ParticleFilter&diff=3538&oldid=prevWikiSysop: Created page with "== Citation == Hu, M.; Yu, H.; Gu, K.; Wang, Z.; Ruan, H.; Wang, K.; Ren, S.; Li, B.; Gan, L.; Xu, S.; Yang, G.; Shen, Y. & Li, X. A particle-filter framework for robust cryo..."2019-07-02T05:59:51Z<p>Created page with "== Citation == Hu, M.; Yu, H.; Gu, K.; Wang, Z.; Ruan, H.; Wang, K.; Ren, S.; Li, B.; Gan, L.; Xu, S.; Yang, G.; Shen, Y. & Li, X. A particle-filter framework for robust cryo..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
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Hu, M.; Yu, H.; Gu, K.; Wang, Z.; Ruan, H.; Wang, K.; Ren, S.; Li, B.; Gan, L.; Xu, S.; Yang, G.; Shen, Y. & Li, X.<br />
A particle-filter framework for robust cryo-EM 3D reconstruction. <br />
Nature methods, 2018 , 15 , 1083-1089 <br />
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== Abstract ==<br />
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Single-particle electron cryomicroscopy (cryo-EM) involves estimating a set of parameters for each particle image and reconstructing a 3D density map; robust algorithms with accurate parameter estimation are essential for high resolution and automation. We introduce a particle-filter algorithm for cryo-EM, which provides high-dimensional parameter estimation through a posterior probability density function (PDF) of the parameters given in the model and the experimental image. The framework uses a set of random support points to represent such a PDF and assigns weighting coefficients not only among the parameters of each particle but also among different particles. We implemented the algorithm in a new program named THUNDER, which features self-adaptive parameter adjustment, tolerance to bad particles, and per-particle defocus refinement. We tested the algorithm by using cryo-EM datasets for the cyclic-nucleotide-gated (CNG) channel, the proteasome, β-galactosidase, and an influenza hemagglutinin (HA) trimer, and observed substantial improvement in resolution.<br />
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== Keywords ==<br />
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== Links ==<br />
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https://www.nature.com/articles/s41592-018-0223-8.pdf<br />
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== Comments ==</div>WikiSysop