2017/04/10 by Roy R. Lederman, Amit Singer, Lederman, Roy R. +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Advanced Fluorescence Microscopy Techniques #Computer Vision and Pattern Recognition (cs.CV) #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.1704.02899
openalex publication_date 2017/04/10 · openalex created_date 2022/08/31 · openalex updated_date 2026/07/28
Single particle cryo-electron microscopy (EM) is an increasingly popular\nmethod for determining the 3-D structure of macromolecules from noisy 2-D\nimages of single macromolecules whose orientations and positions are random and\nunknown. One of the great opportunities in cryo-EM is to recover the structure\nof macromolecules in heterogeneous samples, where multiple types or multiple\nconformations are mixed together. Indeed, in recent years, many tools have been\nintroduced for the analysis of multiple discrete classes of molecules mixed\ntogether in a cryo-EM experiment. However, many interesting structures have a\ncontinuum of conformations which do not fit discrete models nicely; the\nanalysis of such continuously heterogeneous models has remained a more elusive\ngoal. In this manuscript, we propose to represent heterogeneous molecules and\nsimilar structures as higher dimensional objects. We generalize the basic\noperations used in many existing reconstruction algorithms, making our approach\ngeneric in the sense that, in principle, existing algorithms can be adapted to\nreconstruct those higher dimensional objects. As proof of concept, we present a\nprototype of a new algorithm which we use to solve simulated reconstruction\nproblems.\n