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Software tools for automated transmission electron microscopy

Nature methods, 2019-06, Vol.16 (6), p.471-477 [Peer Reviewed Journal]

Springer Nature America, Inc. 2019. ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-019-0396-9 ;PMID: 31086343

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Title:
Software tools for automated transmission electron microscopy
Author: Schorb, Martin ; Haberbosch, Isabella ; Hagen, Wim J H ; Schwab, Yannick ; Mastronarde, David N
Subjects: Automatic control ; Automation ; Cellular structure ; Computer programs ; Data collection ; Humans ; Image acquisition ; Image analysis ; Image processing ; Image Processing, Computer-Assisted - methods ; Image Processing, Computer-Assisted - statistics & numerical data ; Image transmission ; Interfaces ; Microscopes ; Microscopy, Electron, Transmission - instrumentation ; Microscopy, Electron, Transmission - methods ; Software ; Software development tools ; Transmission electron microscopy
Is Part Of: Nature methods, 2019-06, Vol.16 (6), p.471-477
Description: The demand for high-throughput data collection in electron microscopy is increasing for applications in structural and cellular biology. Here we present a combination of software tools that enable automated acquisition guided by image analysis for a variety of transmission electron microscopy acquisition schemes. SerialEM controls microscopes and detectors and can trigger automated tasks at multiple positions with high flexibility. Py-EM interfaces with SerialEM to enact specimen-specific image-analysis pipelines that enable feedback microscopy. As example applications, we demonstrate dose reduction in cryo-electron microscopy experiments, fully automated acquisition of every cell in a plastic section and automated targeting on serial sections for 3D volume imaging across multiple grids.
Publisher: United States: Nature Publishing Group
Language: English
Identifier: ISSN: 1548-7091
EISSN: 1548-7105
DOI: 10.1038/s41592-019-0396-9
PMID: 31086343
Source: MEDLINE
ProQuest Central

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Software tools for automated transmission electron microscopy

Springer Nature America, Inc. 2019. ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-019-0396-9 ;PMID: 31086343

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