title: ACE: automated CTF estimation.
abstract: We present a completely automated algorithm for estimating the parameters of the contrast transfer function (CTF) of a transmission electron microscope. The primary contribution of this paper is the determination of the astigmatism prior to the estimation of the CTF parameters. The CTF parameter estimation is then reduced to a 1D problem using elliptical averaging. We have also implemented an automated method to calculate lower and upper cutoff frequencies to eliminate regions of the power spectrum which perturb the estimation of the CTF parameters. The algorithm comprises three optimization subproblems, two of which are proven to be convex. Results of the CTF estimation method are presented for images of carbon support films as well as for images of single particles embedded in ice and suspended over holes in the support film. A MATLAB implementation of the algorithm, called ACE, is freely available.
authors.affiliation: Department of Electrical and Computer Engineering, University of California, San Diego, USA. spmallick@graphics.ucsd.edu
authors.forename: Satya P
authors.initials: SP
authors.lastname: Mallick
authors.forename: Bridget
authors.initials: B
authors.lastname: Carragher
authors.forename: Clinton S
authors.initials: CS
authors.lastname: Potter
authors.forename: David J
authors.initials: DJ
authors.lastname: Kriegman
mesh_terms: D000465:Algorithms; D018834:Chaperonin 60 / Q000648:ultrastructure; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted; D046529:Microscopy, Electron, Transmission / Q000295:instrumentation* / Q000379:methods*
chemical_list: D018834:Chaperonin 60