Literature DB >> 21945999

Defocus estimation from stroboscopic cryo-electron microscopy data.

Fatemeh Karimi Nejadasl1, Manikandan Karuppasamy, Abraham J Koster, Raimond B G Ravelli.   

Abstract

Defocus estimation is an important step for improving the resolution of single particle reconstructions. It can be troublesome to estimate the defocus from low-dose cryo-electron microscopy (cryo-EM) data, particularly if there is not sufficient contrast present in the Fourier transform of the micrograph. Most existing approaches estimate the defocus from the presence of Thon rings within the power spectrum, employing image enhancement techniques to highlight these rings. In this paper, an approach to estimating the defocus from a stroboscopic image series is described. The image series is used to obtain two statistical metrics: figure of merit (FOM) and Q-factor. These metrics have been used to estimate the defoci from low-dose stroboscopic cryo-EM data consisting of a variable number of images.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21945999     DOI: 10.1016/j.ultramic.2011.08.007

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  2 in total

1.  A posteriori correction of camera characteristics from large image data sets.

Authors:  Pavel Afanasyev; Raimond B G Ravelli; Rishi Matadeen; Sacha De Carlo; Gijs van Duinen; Bart Alewijnse; Peter J Peters; Jan-Pieter Abrahams; Rodrigo V Portugal; Michael Schatz; Marin van Heel
Journal:  Sci Rep       Date:  2015-06-11       Impact factor: 4.379

2.  Non-rigid image registration to reduce beam-induced blurring of cryo-electron microscopy images.

Authors:  Fatemeh Karimi Nejadasl; Manikandan Karuppasamy; Emily R Newman; John E McGeehan; Raimond B G Ravelli
Journal:  J Synchrotron Radiat       Date:  2012-11-29       Impact factor: 2.616

  2 in total

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