Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366463669> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4366463669 endingPage "12" @default.
- W4366463669 startingPage "1" @default.
- W4366463669 abstract "Three-dimensional (3D) reconstruction for cryogenic electron microscopy (cryo-EM) often falls into an ill-posed problem owing to several uncertainties in observations, including noise. To reduce excessive degree of freedom and avoid overfitting, the structural symmetry is often used as a powerful constraint. In the case of the helix, the entire 3D structure is determined by the subunit 3D structure and two helical parameters. There is no analytical method to simultaneously obtain both of the subunit structure and helical parameters. A common approach is to employ an iterative reconstruction in which the two optimizations are performed alternately. However, iterative reconstruction does not necessarily converge when a heuristic objective function is used for each optimization step. Also, the obtained 3D reconstruction highly depends on the initial guess of the 3D structure and the helical parameters. Herein, we propose a method for estimating the 3D structure and helical parameters that also performs an iterative optimization; however, the objective function for each step is derived from a single objective function to make the algorithm convergent and less sensitive to the initial guess. Finally, we evaluated the effectiveness of the proposed method by testing it on cryo-EM images, which were challenging to reconstruct using conventional methods." @default.
- W4366463669 created "2023-04-22" @default.
- W4366463669 creator A5011818455 @default.
- W4366463669 creator A5017568301 @default.
- W4366463669 creator A5058631916 @default.
- W4366463669 date "2023-01-01" @default.
- W4366463669 modified "2023-10-10" @default.
- W4366463669 title "Helical Three Dimensional Reconstruction Using Bayesian Optimization for Cryogenic Electron Microscopy" @default.
- W4366463669 cites W2001024934 @default.
- W4366463669 cites W2010158007 @default.
- W4366463669 cites W2011665065 @default.
- W4366463669 cites W2040721088 @default.
- W4366463669 cites W2042469902 @default.
- W4366463669 cites W2048826637 @default.
- W4366463669 cites W2057755597 @default.
- W4366463669 cites W2061679830 @default.
- W4366463669 cites W2104234755 @default.
- W4366463669 cites W2130479394 @default.
- W4366463669 cites W2132629607 @default.
- W4366463669 cites W2192203593 @default.
- W4366463669 cites W2299689158 @default.
- W4366463669 cites W2727929522 @default.
- W4366463669 cites W2793431243 @default.
- W4366463669 cites W2951384153 @default.
- W4366463669 cites W2953320394 @default.
- W4366463669 cites W4236422208 @default.
- W4366463669 doi "https://doi.org/10.1109/tcbb.2023.3268793" @default.
- W4366463669 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37079418" @default.
- W4366463669 hasPublicationYear "2023" @default.
- W4366463669 type Work @default.
- W4366463669 citedByCount "0" @default.
- W4366463669 crossrefType "journal-article" @default.
- W4366463669 hasAuthorship W4366463669A5011818455 @default.
- W4366463669 hasAuthorship W4366463669A5017568301 @default.
- W4366463669 hasAuthorship W4366463669A5058631916 @default.
- W4366463669 hasConcept C109950114 @default.
- W4366463669 hasConcept C11413529 @default.
- W4366463669 hasConcept C121332964 @default.
- W4366463669 hasConcept C126255220 @default.
- W4366463669 hasConcept C141379421 @default.
- W4366463669 hasConcept C154945302 @default.
- W4366463669 hasConcept C20702342 @default.
- W4366463669 hasConcept C22019652 @default.
- W4366463669 hasConcept C2524010 @default.
- W4366463669 hasConcept C2776036281 @default.
- W4366463669 hasConcept C2778049539 @default.
- W4366463669 hasConcept C33923547 @default.
- W4366463669 hasConcept C41008148 @default.
- W4366463669 hasConcept C46141821 @default.
- W4366463669 hasConcept C50644808 @default.
- W4366463669 hasConceptScore W4366463669C109950114 @default.
- W4366463669 hasConceptScore W4366463669C11413529 @default.
- W4366463669 hasConceptScore W4366463669C121332964 @default.
- W4366463669 hasConceptScore W4366463669C126255220 @default.
- W4366463669 hasConceptScore W4366463669C141379421 @default.
- W4366463669 hasConceptScore W4366463669C154945302 @default.
- W4366463669 hasConceptScore W4366463669C20702342 @default.
- W4366463669 hasConceptScore W4366463669C22019652 @default.
- W4366463669 hasConceptScore W4366463669C2524010 @default.
- W4366463669 hasConceptScore W4366463669C2776036281 @default.
- W4366463669 hasConceptScore W4366463669C2778049539 @default.
- W4366463669 hasConceptScore W4366463669C33923547 @default.
- W4366463669 hasConceptScore W4366463669C41008148 @default.
- W4366463669 hasConceptScore W4366463669C46141821 @default.
- W4366463669 hasConceptScore W4366463669C50644808 @default.
- W4366463669 hasLocation W43664636691 @default.
- W4366463669 hasLocation W43664636692 @default.
- W4366463669 hasOpenAccess W4366463669 @default.
- W4366463669 hasPrimaryLocation W43664636691 @default.
- W4366463669 hasRelatedWork W1492295194 @default.
- W4366463669 hasRelatedWork W1574414179 @default.
- W4366463669 hasRelatedWork W2490526372 @default.
- W4366463669 hasRelatedWork W4221142204 @default.
- W4366463669 hasRelatedWork W4281702477 @default.
- W4366463669 hasRelatedWork W4297676672 @default.
- W4366463669 hasRelatedWork W4362597605 @default.
- W4366463669 hasRelatedWork W4376166922 @default.
- W4366463669 hasRelatedWork W4378510483 @default.
- W4366463669 hasRelatedWork W757031997 @default.
- W4366463669 isParatext "false" @default.
- W4366463669 isRetracted "false" @default.
- W4366463669 workType "article" @default.