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Estimating contrast transfer function and associated parameters by constrained non‐linear optimization
Author(s) -
YANG C.,
JIANG W.,
CHEN D.H.,
ADIGA U.,
NG E.G.,
CHIU W.
Publication year - 2009
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.1365-2818.2009.03137.x
Subject(s) - icosahedral symmetry , contrast transfer function , envelope (radar) , contrast (vision) , function (biology) , series (stratigraphy) , particle (ecology) , transfer function , algorithm , physics , materials science , optics , computer science , biological system , chemistry , crystallography , telecommunications , paleontology , radar , electrical engineering , engineering , spherical aberration , evolutionary biology , biology , lens (geology) , oceanography , geology
Summary The three‐dimensional reconstruction of macromolecules from two‐dimensional single‐particle electron images requires determination and correction of the contrast transfer function (CTF) and envelope function. A computational algorithm based on constrained non‐linear optimization is developed to estimate the essential parameters in the CTF and envelope function model simultaneously and automatically. The application of this estimation method is demonstrated with focal series images of amorphous carbon film as well as images of ice‐embedded icosahedral virus particles suspended across holes.