Alignment, classification, and three-dimensional reconstruction of single particles embedded in ice.
Cryo-electron microscopy of single biological particles poses new challenges to digital image processing due to the low signal-to-noise ratio of the data. New tools have been devised to deal with important aspects of 3-D reconstruction following the random-conical data collection scheme: (a) a new shift-invariant function has been derived, which promises to facilitate alignment and classification of single particle projections; (b) a new method of orientation search is proposed, which makes it possible to relate random-conical data sets to one another prior to reconstruction; and (c) the foundation is laid for a 3-D variance estimation which utilizes the oversampling of 3-D angular space by projections in the random-conical reconstruction scheme.
Frank
J
J
Wadsworth Center for Laboratories and Research, New York State Department of Health, Albany 12201-0509, USA.
Penczek
P
P
Liu
W
W
D000465:Algorithms; D000818:Animals; D003625:Data Collection; D004926:Escherichia coli / Q000648:ultrastructure; D006801:Humans; D007053:Ice; D007091:Image Processing, Computer-Assisted; D046911:Macromolecular Substances; D008854:Microscopy, Electron; D011897:Random Allocation; D012270:Ribosomes / Q000648:ultrastructure; D016610:Tissue Embedding / Q000379:methods*
D007053:Ice; D046911:Macromolecular Substances