Literature DB >> 26080023

Visualization and quality assessment of the contrast transfer function estimation.

Lisa K Sheth1, Angela L Piotrowski1, Neil R Voss2.   

Abstract

The contrast transfer function (CTF) describes an undesirable distortion of image data from a transmission electron microscope. Many users of full-featured processing packages are often new to electron microscopy and are unfamiliar with the CTF concept. Here we present a common graphical output to clearly demonstrate the CTF fit quality independent of estimation software. Separately, many software programs exist to estimate the four CTF parameters, but their results are difficult to compare across multiple runs and it is all but impossible to select the best parameters to use for further processing. A new measurement is presented based on the correlation falloff of the calculated CTF oscillations against the normalized oscillating signal of the data, called the CTF resolution. It was devised to provide a robust numerical quality metric of every CTF estimation for high-throughput screening of micrographs and to select the best parameters for each micrograph. These new CTF visualizations and quantitative measures will help users better assess the quality of their CTF parameters and provide a mechanism to choose the best CTF tool for their data.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computer-assisted image processing; Contrast transfer function; Cryo-electron microscopy methods; Transmission electron microscopy

Mesh:

Year:  2015        PMID: 26080023     DOI: 10.1016/j.jsb.2015.06.012

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  7 in total

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Authors:  Yong Zi Tan; Anchi Cheng; Clinton S Potter; Bridget Carragher
Journal:  Microscopy (Oxf)       Date:  2015-12-15       Impact factor: 1.571

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Authors:  John M Spear; Alex J Noble; Qing Xie; Duncan R Sousa; Michael S Chapman; Scott M Stagg
Journal:  J Struct Biol       Date:  2015-09-25       Impact factor: 2.867

Review 3.  Emerging Themes in CryoEM─Single Particle Analysis Image Processing.

Authors:  Jose Luis Vilas; Jose Maria Carazo; Carlos Oscar S Sorzano
Journal:  Chem Rev       Date:  2022-07-04       Impact factor: 72.087

4.  Automated batch fiducial-less tilt-series alignment in Appion using Protomo.

Authors:  Alex J Noble; Scott M Stagg
Journal:  J Struct Biol       Date:  2015-10-09       Impact factor: 2.867

5.  Processing apoferritin with the Appion pipeline.

Authors:  Scott M Stagg; Joshua H Mendez
Journal:  J Struct Biol       Date:  2018-06-30       Impact factor: 2.867

6.  cisTEM, user-friendly software for single-particle image processing.

Authors:  Timothy Grant; Alexis Rohou; Nikolaus Grigorieff
Journal:  Elife       Date:  2018-03-07       Impact factor: 8.140

7.  trans-Translation inhibitors bind to a novel site on the ribosome and clear Neisseria gonorrhoeae in vivo.

Authors:  Zachary D Aron; Atousa Mehrani; Eric D Hoffer; Kristie L Connolly; Pooja Srinivas; Matthew C Torhan; John N Alumasa; Mynthia Cabrera; Divya Hosangadi; Jay S Barbor; Steven C Cardinale; Steven M Kwasny; Lucas R Morin; Michelle M Butler; Timothy J Opperman; Terry L Bowlin; Ann Jerse; Scott M Stagg; Christine M Dunham; Kenneth C Keiler
Journal:  Nat Commun       Date:  2021-03-19       Impact factor: 14.919

  7 in total

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