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CTF Challenge: Result summary.

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Publication date 2015
Author Marabini Roberto, Carragher Bridget, Chen Shaoxia, Chen James, Cheng Anchi, Downing Kenneth H, Frank Joachim, Grassucci Robert A, Bernard Heymann J, Jiang Wen, Jonic Slavica, Liao Hstau Y, Ludtke Steven J, Patwari Shail, Piotrowski Angela L, Quintana Adrian, Sorzano Carlos O S, Stahlberg Henning, Vargas Javier, Voss Neil R, Chiu Wah, Carazo Jose M,
Project Software for Electron Microscopy of Membrane Proteins
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Original article (peer-reviewed)

Journal Journal of structural biology
Volume (Issue) 190(3)
Page(s) 348 - 59
Title of proceedings Journal of structural biology
DOI 10.1016/j.jsb.2015.04.003

Abstract

Image formation in bright field electron microscopy can be described with the help of the contrast transfer function (CTF). In this work the authors describe the "CTF Estimation Challenge", called by the Madrid Instruct Image Processing Center (I2PC) in collaboration with the National Center for Macromolecular Imaging (NCMI) at Houston. Correcting for the effects of the CTF requires accurate knowledge of the CTF parameters, but these have often been difficult to determine. In this challenge, researchers have had the opportunity to test their ability in estimating some of the key parameters of the electron microscope CTF on a large micrograph data set produced by well-known laboratories on a wide set of experimental conditions. This work presents the first analysis of the results of the CTF Estimation Challenge, including an assessment of the performance of the different software packages under different conditions, so as to identify those areas of research where further developments would be desirable in order to achieve high-resolution structural information.
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