title: An ab initio algorithm for low-resolution 3-D reconstructions from cryoelectron microscopy images.
abstract: A statistical method for determining low-resolution 3-D reconstructions of virus particles from cryoelectron microscope images by an ab initio algorithm is described. The method begins with a novel linear reconstruction method that generates a spherically symmetric reconstruction, which is followed by a nonlinear reconstruction method implementing an expectation-maximization procedure using the spherically symmetric reconstruction as an initial condition and resulting in a reconstruction with icosahedral symmetry. An important characteristic of the complete method is that very little need be known about the particle before the reconstruction is computed, in particular, only the type of symmetry and inner and outer radii. The method is demonstrated on synthetic cowpea mosaic virus data, and its robustness to 5% errors in the contrast transfer function, 5% errors in the location of the center of the particles in the images, and 5% distortion in the 3-D structure from which the images are derived is demonstrated numerically.
authors.affiliation: School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47907-1285, USA.
authors.forename: Z
authors.initials: Z
authors.lastname: Yin
authors.forename: Y
authors.initials: Y
authors.lastname: Zheng
authors.forename: P C
authors.initials: PC
authors.lastname: Doerschuk
mesh_terms: D000465:Algorithms; D017798:Comovirus / Q000737:chemistry; D020285:Cryoelectron Microscopy / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data; D008432:Mathematical Computing; D012680:Sensitivity and Specificity; D014771:Virion / Q000737:chemistry