<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bromberg R</submitter><funding>U.S. Department of Energy</funding><funding>Office of Science</funding><funding>National Institutes of Health</funding><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><funding>Cancer Prevention and Research Institute of Texas</funding><pagination>107945</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10200766</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>215(2)</volume><pubmed_abstract>Single particle reconstruction (SPR) in cryoEM is an image processing task with an elaborate hierarchy that starts with many very noisy multi-frame images. Efficient representation of the intermediary image structures is critical for keeping the calculations manageable. One such intermediary structure is called a particle stack and contains cut-out images of particles in square boxes of predefined size. The micrograph that is the source of the boxed images is usually corrected for motion between frames prior to particle stack creation. However, the contrast transfer function (CTF) or its Fourier Transform point spread function (PSF) are not considered at this step. Historically, the particle stack was intended for large particles and for a tighter PSF, which is characteristic of lower reso</pubmed_abstract><journal>Journal of structural biology</journal><pubmed_title>CryoEM single particle reconstruction with a complex-valued particle stack.</pubmed_title><pmcid>PMC10200766</pmcid><funding_grant_id>R21GM126406</funding_grant_id><funding_grant_id>R01GM118619</funding_grant_id><funding_grant_id>R44 GM137671</funding_grant_id><funding_grant_id>R21 GM126406</funding_grant_id><funding_grant_id>R01 GM117080</funding_grant_id><funding_grant_id>R35 GM145365</funding_grant_id><funding_grant_id>DE-SC0019600</funding_grant_id><funding_grant_id>R35GM145365</funding_grant_id><funding_grant_id>R43 GM137671</funding_grant_id><funding_grant_id>R01GM117080</funding_grant_id><funding_grant_id>R01 GM118619</funding_grant_id><funding_grant_id>DE-SC0021600</funding_grant_id><funding_grant_id>R44GM137671</funding_grant_id><pubmed_authors>Borek D</pubmed_authors><pubmed_authors>Guo Y</pubmed_authors><pubmed_authors>Otwinowski Z</pubmed_authors><pubmed_authors>Bromberg R</pubmed_authors></additional><is_claimable>false</is_claimable><name>CryoEM single particle reconstruction with a complex-valued particle stack.</name><description>Single particle reconstruction (SPR) in cryoEM is an image processing task with an elaborate hierarchy that starts with many very noisy multi-frame images. Efficient representation of the intermediary image structures is critical for keeping the calculations manageable. One such intermediary structure is called a particle stack and contains cut-out images of particles in square boxes of predefined size. The micrograph that is the source of the boxed images is usually corrected for motion between frames prior to particle stack creation. However, the contrast transfer function (CTF) or its Fourier Transform point spread function (PSF) are not considered at this step. Historically, the particle stack was intended for large particles and for a tighter PSF, which is characteristic of lower reso</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jun</publication><modification>2025-04-05T08:50:26.305Z</modification><creation>2025-02-19T01:16:04.879Z</creation></dates><accession>S-EPMC10200766</accession><cross_references><pubmed>36889560</pubmed><doi>10.1016/j.jsb.2023.107945</doi></cross_references></HashMap>