A multi-scale geometric flow method for molecular structure reconstruction. (26th March 2015)

• Record Type: Journal Article
• Authors: Xu, Guoliang; Li, Ming; Chen, Chong
• Is Part Of: Computational science & discovery. Volume 8:Number 1(2015)
• Publication Date: 2015-03-26
• Subjects: reconstruction -- electron microscopy -- tomography -- single-particle analysis -- geometric flow; Science -- Computer simulation -- Periodicals; Technology -- Computer simulation -- Periodicals; Science -- Data processing -- Periodicals; Technology -- Data processing -- Periodicals; Research -- Methodology -- Periodicals; Research -- Periodicals; Periodicals; 501.13
• DOI: 10.1088/1749-4680/8/1/014002
• Languages: English
• ISSNs: 1749-4699

Abstract

Abstract: We have previously reported an L 2 -gradient flow (L2GF) method for cryo-electron 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 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.