2009
DOI: 10.1111/j.1365-2818.2009.03137.x
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Estimating contrast transfer function and associated parameters by constrained non‐linear optimization

Abstract: SummaryThe 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 fi… Show more

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Cited by 31 publications
(29 citation statements)
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References 36 publications
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“…Particles were selected from scanned micrograph images, first automatically by the ETHAN method (58) and then by manual screening with the boxer program in EMAN (59). The TEM instrument contrast transfer function parameters were determined automatically using fitctf2.py (60,61) and were then visually validated using EMAN ctfit program. For 3D reconstructions, whole datasets were divided into even-odd halves.…”
Section: Methodsmentioning
confidence: 99%
“…Particles were selected from scanned micrograph images, first automatically by the ETHAN method (58) and then by manual screening with the boxer program in EMAN (59). The TEM instrument contrast transfer function parameters were determined automatically using fitctf2.py (60,61) and were then visually validated using EMAN ctfit program. For 3D reconstructions, whole datasets were divided into even-odd halves.…”
Section: Methodsmentioning
confidence: 99%
“…The astigmatism is an essential component of the contrast transfer function (CTF) of TEM images. Many approaches have been proposed for the estimation of CTF parameters based on the power spectra of images (Fernando, 2008; Huang et al, 2003; Jiang et al, 2012; Mallick et al, 2005; Mindell and Grigorieff, 2003; Sander et al, 2003; Sorzano et al, 2007; Vulović et al, 2012; Yang et al, 2009). The CTF parameters are typically determined by iterative fitting simulated power spectra to the experimental power spectra by varying the parameters in the CTF model.…”
Section: Introductionmentioning
confidence: 99%
“…Particles were selected manually with the boxer program in EMAN (20,21). The microscope contrast transfer function parameters for each micrograph were first determined using an automated fitting method (22) and then manually verified and corrected using the EMAN ctfit graphic program. To avoid model bias, 5 "random" initial models per data set were generated by random particle orientation assignment.…”
Section: Methodsmentioning
confidence: 99%