edoc

Robust image alignment for cryogenic transmission electron microscopy

McLeod, Robert A. and Kowal, Julia and Ringler, Philippe and Stahlberg, Henning. (2017) Robust image alignment for cryogenic transmission electron microscopy. Journal of Structural Biology, 197 (3). pp. 279-293.

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Official URL: http://edoc.unibas.ch/56295/

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Abstract

Cryo-electron microscopy recently experienced great improvements in structure resolution due to direct electron detectors with improved contrast and fast read-out leading to single electron counting. High frames rates enabled dose fractionation, where a long exposure is broken into a movie, permitting specimen drift to be registered and corrected. The typical approach for image registration, with high shot noise and low contrast, is multi-reference (MR) cross-correlation. Here we present the software package Zorro, which provides robust drift correction for dose fractionation by use of an intensity-normalized cross-correlation and logistic noise model to weight each cross-correlation in the MR model and filter each cross-correlation optimally. Frames are reliably registered by Zorro with low dose and defocus. Methods to evaluate performance are presented, by use of independently-evaluated even- and odd-frame stacks by trajectory comparison and Fourier ring correlation. Alignment of tiled sub-frames is also introduced, and demonstrated on an example dataset. Zorro source code is available at github.com/CINA/zorro.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Structural Biology & Biophysics > Structural Biology (Stahlberg)
UniBasel Contributors:Stahlberg, Henning
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:1047-8477
e-ISSN:1095-8657
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:26 Oct 2017 15:18
Deposited On:12 Oct 2017 09:21

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