CTF Challenge: Result summary.
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.
Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049 Cantoblanco, Madrid, Spain. Electronic address: roberto@cnb.csic.es.
Roberto
R
Marabini
The National Resource for Automated Molecular Microscopy, The Scripps Research Institute, La Jolla, CA 92037, USA.
Bridget
B
Carragher
MRC-LMB, Cambridge CB2 0QH, United Kingdom.
Shaoxia
S
Chen
Massachusetts Institute of Technology, USA.
James
J
Chen
The National Resource for Automated Molecular Microscopy, The Scripps Research Institute, La Jolla, CA 92037, USA.
Anchi
A
Cheng
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Kenneth H
KH
Downing
Howard Hughes Medical Institute, Columbia University, NY 10032, USA.
Joachim
J
Frank
Howard Hughes Medical Institute, Columbia University, NY 10032, USA.
Robert A
RA
Grassucci
Laboratory of Structural Biology Research, National Institute of Arthritis, Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
J
J
Bernard Heymann
Purdue University, Biological Sciences, IN 47907-2054, USA.
Wen
W
Jiang
IMPMC, Sorbonne Universités - CNRS UMR 7590, UPMC Univ Paris 6, MNHN, IRD UMR 206, 75005 Paris, France.
Slavica
S
Jonic
Howard Hughes Medical Institute, Columbia University, NY 10032, USA.
Hstau Y
HY
Liao
Baylor College of Medicine, Houston, TX 77030, USA.
Steven J
SJ
Ludtke
Roosevelt University, Department of Biological, Chemical, and Physical Sciences, 1400 N. Roosevelt Blvd., Schaumburg, IL 60173, USA.
Shail
S
Patwari
Roosevelt University, Department of Biological, Chemical, and Physical Sciences, 1400 N. Roosevelt Blvd., Schaumburg, IL 60173, USA.
Angela L
AL
Piotrowski
Biocomputing Unit, National Center for Biotechnology (CSIC), C/Darwin, 3, Campus Universidad Autónoma, 28049 Cantoblanco, Madrid, Spain.
Adrian
A
Quintana
Biocomputing Unit, National Center for Biotechnology (CSIC), C/Darwin, 3, Campus Universidad Autónoma, 28049 Cantoblanco, Madrid, Spain.
Carlos O S
CO
Sorzano
Biozentrum, University of Basel, CH-4058 Basel, Switzerland.
Henning
H
Stahlberg
Biocomputing Unit, National Center for Biotechnology (CSIC), C/Darwin, 3, Campus Universidad Autónoma, 28049 Cantoblanco, Madrid, Spain.
Javier
J
Vargas
Roosevelt University, Department of Biological, Chemical, and Physical Sciences, 1400 N. Roosevelt Blvd., Schaumburg, IL 60173, USA.
Neil R
NR
Voss
Baylor College of Medicine, Houston, TX 77030, USA.
Wah
W
Chiu
Biocomputing Unit, National Center for Biotechnology (CSIC), C/Darwin, 3, Campus Universidad Autónoma, 28049 Cantoblanco, Madrid, Spain.
Jose M
JM
Carazo
D000465:Algorithms; D007091:Image Processing, Computer-Assisted / Q000379:methods; D046911:Macromolecular Substances / Q000737:chemistry*; D008854:Microscopy, Electron / Q000379:methods*; D012984:Software
D046911:Macromolecular Substances
Benchmarking; Challenge; Contrast transfer function; Electron microscopy; High-resolution