Title :
Ab initio reconstruction and experimental design for cryo electron microscopy
Author :
Doerschuk, Peter C. ; Johnson, John E.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
8/1/2000 12:00:00 AM
Abstract :
A statistical model for the object and the complete image formation process in the cryo electron microscopy of viruses is presented. Using this model, maximum-likelihood reconstructions of the three-dimensional (3-D) structure of viruses are computed using the expectation maximization algorithm, and alternative experimental designs are evaluated based on Cramer-Rao bounds. Numerical examples of the reconstructions and experimental design evaluations are provided based on Cowpea mosaic virus
Keywords :
biological techniques; biology computing; electron microscopy; image reconstruction; iterative methods; low-temperature techniques; maximum likelihood estimation; microorganisms; statistical analysis; Cowpea mosaic virus; Cramer-Rao bounds; ab initio reconstruction; cryo electron microscopy; expectation maximization algorithm; experimental design; image formation process; maximum-likelihood reconstructions; statistical model; three-dimensional structure; viruses; Biology computing; Design for experiments; Electron beams; Electron microscopy; Fourier transforms; Image reconstruction; Military computing; Particle scattering; Pixel; Viruses (medical);
Journal_Title :
Information Theory, IEEE Transactions on
