{"title":"A multi-scale geometric flow method for molecular structure reconstruction","authors":"Guoliang Xu, Ming Li, C. Chen","doi":"10.1088/1749-4680/8/1/014002","DOIUrl":null,"url":null,"abstract":"We have previously reported an L 2 -gradient flow (L2GF) method for cryoelectron tomography and single-particle reconstruction, which has a reasonably good performance. The aim of this paper is to further upgrade both the computational efficiency and accuracy of the L2GF method. In a finite-dimensional space spanned by the radial basis functions, a minimization problem combining a fourth-order geometric flow with an energy decreasing constraint is solved by a bi-gradient method. The bi-gradient method involves a free parameter β ∈ [0, 1]. As β increases from 0 to 1, the structures of the reconstructed function from coarse to fine are captured. The experimental results show that the proposed method yields more desirable results.","PeriodicalId":89345,"journal":{"name":"Computational science & discovery","volume":"8 1","pages":"014002"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1088/1749-4680/8/1/014002","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational science & discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1749-4680/8/1/014002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We have previously reported an L 2 -gradient flow (L2GF) method for cryoelectron tomography and single-particle reconstruction, which has a reasonably good performance. The aim of this paper is to further upgrade both the computational efficiency and accuracy of the L2GF method. In a finite-dimensional space spanned by the radial basis functions, a minimization problem combining a fourth-order geometric flow with an energy decreasing constraint is solved by a bi-gradient method. The bi-gradient method involves a free parameter β ∈ [0, 1]. As β increases from 0 to 1, the structures of the reconstructed function from coarse to fine are captured. The experimental results show that the proposed method yields more desirable results.