Literature DB >> 27572725

Processing of Cryo-EM Movie Data.

Z A Ripstein1, J L Rubinstein2.   

Abstract

Direct detector device (DDD) cameras dramatically enhance the capabilities of electron cryomicroscopy (cryo-EM) due to their improved detective quantum efficiency (DQE) relative to other detectors. DDDs use semiconductor technology that allows micrographs to be recorded as movies rather than integrated individual exposures. Movies from DDDs improve cryo-EM in another, more surprising, way. DDD movies revealed beam-induced specimen movement as a major source of image degradation and provide a way to partially correct the problem by aligning frames or regions of frames to account for this specimen movement. In this chapter, we use a self-consistent mathematical notation to explain, compare, and contrast several of the most popular existing algorithms for computationally correcting specimen movement in DDD movies. We conclude by discussing future developments in algorithms for processing DDD movies that would extend the capabilities of cryo-EM even further.
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Algorithm; Beam-induced movement; Camera; Cryo-EM; Data processing; Direct detector device; Direct electron detector; High-resolution; Motion correction; Movie; cryoEM

Mesh:

Year:  2016        PMID: 27572725     DOI: 10.1016/bs.mie.2016.04.009

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  9 in total

1.  Reducing cryoEM file storage using lossy image formats.

Authors:  Edward T Eng; Mykhailo Kopylov; Carl J Negro; Sarkis Dallaykan; William J Rice; Kelsey D Jordan; Kotaro Kelley; Bridget Carragher; Clinton S Potter
Journal:  J Struct Biol       Date:  2019-05-21       Impact factor: 2.867

Review 2.  Dawning of a new era in TRP channel structural biology by cryo-electron microscopy.

Authors:  M Gregor Madej; Christine M Ziegler
Journal:  Pflugers Arch       Date:  2018-01-17       Impact factor: 3.657

3.  Routine determination of ice thickness for cryo-EM grids.

Authors:  William J Rice; Anchi Cheng; Alex J Noble; Edward T Eng; Laura Y Kim; Bridget Carragher; Clinton S Potter
Journal:  J Struct Biol       Date:  2018-07-04       Impact factor: 2.867

4.  Single-particle cryo-electron microscopy: Mathematical theory, computational challenges, and opportunities.

Authors:  Tamir Bendory; Alberto Bartesaghi; Amit Singer
Journal:  IEEE Signal Process Mag       Date:  2020-02-27       Impact factor: 12.551

5.  Cryo-tomography tilt-series alignment with consideration of the beam-induced sample motion.

Authors:  Jose-Jesus Fernandez; Sam Li; Tanmay A M Bharat; David A Agard
Journal:  J Struct Biol       Date:  2018-02-03       Impact factor: 2.867

6.  Hypothesis for a mechanism of beam-induced motion in cryo-electron microscopy.

Authors:  Robert E Thorne
Journal:  IUCrJ       Date:  2020-03-26       Impact factor: 4.769

7.  Single-particle cryo-EM using alignment by classification (ABC): the structure of Lumbricus terrestris haemoglobin.

Authors:  Pavel Afanasyev; Charlotte Seer-Linnemayr; Raimond B G Ravelli; Rishi Matadeen; Sacha De Carlo; Bart Alewijnse; Rodrigo V Portugal; Navraj S Pannu; Michael Schatz; Marin van Heel
Journal:  IUCrJ       Date:  2017-08-31       Impact factor: 4.769

8.  Miniaturized Sample Preparation for Transmission Electron Microscopy.

Authors:  Claudio Schmidli; Luca Rima; Stefan A Arnold; Thomas Stohler; Anastasia Syntychaki; Andrej Bieri; Stefan Albiez; Kenneth N Goldie; Mohamed Chami; Henning Stahlberg; Thomas Braun
Journal:  J Vis Exp       Date:  2018-07-27       Impact factor: 1.355

9.  Electron-event representation data enable efficient cryoEM file storage with full preservation of spatial and temporal resolution.

Authors:  Hui Guo; Erik Franken; Yuchen Deng; Samir Benlekbir; Garbi Singla Lezcano; Bart Janssen; Lingbo Yu; Zev A Ripstein; Yong Zi Tan; John L Rubinstein
Journal:  IUCrJ       Date:  2020-08-07       Impact factor: 4.769

  9 in total

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