CTF Challenge: Result summary.

Détails

ID Serval
serval:BIB_C45AA8AA10C6
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
CTF Challenge: Result summary.
Périodique
Journal of structural biology
Auteur⸱e⸱s
Marabini R., Carragher B., Chen S., Chen J., Cheng A., Downing K.H., Frank J., Grassucci R.A., Bernard Heymann J., Jiang W., Jonic S., Liao H.Y., Ludtke S.J., Patwari S., Piotrowski A.L., Quintana A., Sorzano C.O., Stahlberg H., Vargas J., Voss N.R., Chiu W., Carazo J.M.
ISSN
1095-8657 (Electronic)
ISSN-L
1047-8477
Statut éditorial
Publié
Date de publication
06/2015
Peer-reviewed
Oui
Volume
190
Numéro
3
Pages
348-359
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
Publication Status: ppublish
Résumé
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.
Mots-clé
Algorithms, Image Processing, Computer-Assisted/methods, Macromolecular Substances/chemistry, Microscopy, Electron/methods, Software, Benchmarking, Challenge, Contrast transfer function, Electron microscopy, High-resolution
Pubmed
Web of science
Création de la notice
09/06/2023 15:02
Dernière modification de la notice
20/07/2023 5:57
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