Literature DB >> 11722165

Automated data collection with a Tecnai 12 electron microscope: applications for molecular imaging by cryomicroscopy.

P Zhang1, A Beatty, J L Milne, S Subramaniam.   

Abstract

In high-resolution biological electron microscopy, the speed of collection of large numbers of high-quality micrographs is a rate-limiting step in the overall process of structure determination. Approaches to speed up data collection can be very useful, especially in "single-molecule" microscopy of large multiprotein and protein-nucleic acid complexes, where many thousands of individual molecular images need to be averaged to determine the three-dimensional structure. Toward this end, we report the development of automated low-dose image acquisition procedures on a Tecnai 12 electron microscope using the scripting functionality available on the microscope computer. At the lowest level of automation, the user is required to select regions of interest that are to be imaged. All subsequent steps of image acquisition are then carried out automatically to record high-resolution images on either film or CCD, at desired defocus values, under conditions that satisfy user-specified limits for drift rates of the specimen stage. At the highest level of automation, determination of the best grid squares and the best regions suitable for imaging are carried out automatically. A medium level of automation is also available in which the user can designate the most promising grid squares manually and leave the process of finding the best holes in those grid squares to the microscope computer. We also show that all steps subsequent to insertion of the specimen in the microscope can be carried out remotely by connecting to the microscope computer via the Internet. Both features are implemented using Windows NT and Web-based tools and provide tools for automated data collection on any Tecnai microscope from any location. (c)2001 Elsevier Science.

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Year:  2001        PMID: 11722165     DOI: 10.1006/jsbi.2001.4404

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


  11 in total

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2.  Automated 100-position specimen loader and image acquisition system for transmission electron microscopy.

Authors:  Jonathan Lefman; Robert Morrison; Sriram Subramaniam
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Review 3.  3D electron microscopy of biological nanomachines: principles and applications.

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Journal:  Eur Biophys J       Date:  2007-07-05       Impact factor: 1.733

4.  A charge coupled device camera with electron decelerator for intermediate voltage electron microscopy.

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Journal:  Rev Sci Instrum       Date:  2008-04       Impact factor: 1.523

5.  CTER-rapid estimation of CTF parameters with error assessment.

Authors:  Pawel A Penczek; Jia Fang; Xueming Li; Yifan Cheng; Justus Loerke; Christian M T Spahn
Journal:  Ultramicroscopy       Date:  2014-02-07       Impact factor: 2.689

6.  An approach to automated acquisition of cryoEM images from lacey carbon grids.

Authors:  William V Nicholson; Howard White; John Trinick
Journal:  J Struct Biol       Date:  2010-09-08       Impact factor: 2.867

7.  An energy-based three-dimensional segmentation approach for the quantitative interpretation of electron tomograms.

Authors:  Alberto Bartesaghi; Guillermo Sapiro; Sriram Subramaniam
Journal:  IEEE Trans Image Process       Date:  2005-09       Impact factor: 10.856

8.  Automated electron microscopy for evaluating two-dimensional crystallization of membrane proteins.

Authors:  Minghui Hu; Martin Vink; Changki Kim; Kd Derr; John Koss; Kevin D'Amico; Anchi Cheng; James Pulokas; Iban Ubarretxena-Belandia; David Stokes
Journal:  J Struct Biol       Date:  2010-03-01       Impact factor: 2.867

9.  A Script-Assisted Microscopy (SAM) package to improve data acquisition rates on FEI Tecnai electron microscopes equipped with Gatan CCD cameras.

Authors:  Jian Shi; Dewight R Williams; Phoebe L Stewart
Journal:  J Struct Biol       Date:  2008-06-04       Impact factor: 2.867

10.  High-throughput methods for electron crystallography.

Authors:  David L Stokes; Iban Ubarretxena-Belandia; Tamir Gonen; Andreas Engel
Journal:  Methods Mol Biol       Date:  2013
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