Leginon pipeline

Leginon specifications

Information


Unique identifier OMICS_15600
Name Leginon
Software type Package/Module
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Windows
Programming languages C, PHP, Python
Database management system MySQL
License Apache License version 2.0
Computer skills Medium
Version 3.3
Stability Stable
Source code URL http://emg.nysbc.org/redmine/projects/leginon/repository
Maintained Yes

Versioning


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Documentation


Maintainer


  • person_outline Bridget Carragher <>

Publications for Leginon

Leginon IN pipelines

 (3)
2018
PMCID: 5837556
PMID: 29480804
DOI: 10.7554/eLife.34823.030

[…] al., 2013)., fdx/rbpa/σa-holo/us-fork. the grids were imaged using a 300 kev titan krios (fei) equipped with a k2 summit direct electron detector (gatan, warrendale, pa). images were recorded with leginon (nicholson et al., 2010) in counting mode with a pixel size of 1.1 å and a defocus range of 0.8 μm to 1.8 μm. data were collected with a dose of 8 electrons/px/s. images were recorded […]

2018
PMCID: 5944921
PMID: 29746590
DOI: 10.1371/journal.ppat.1006986

[…] blotted and plunged into liquid ethane using a manual freeze plunger., micrographs were collected on an fei titan krios operating at 300 kev coupled with gatan k2 direct electron detector via the leginon interface [56]. each exposure image was collected in counting mode at 29000 x nominal magnification resulting in a pixel size of 1.02 å/pixel, using a dose rate of ~10 e-/pix/sec, and 200 ms […]

2014
PMCID: 4239666
PMID: 25411884
DOI: 10.1038/nchem.2107

[…] with a tecnai spirit electron microscope (fei), equipped with an lab6 filament and operating at an acceleration voltage of 120 kv. a total of 157 detector images were automatically acquired using leginon46. particle images (∼15,000) were picked using dog picker47. two-fold pixel binning of the original particle images resulted in a final pixel size of 4.1 å. image alignment and classification […]

Leginon institution(s)
The Scripps Research Institute, La Jolla, CA, USA
Leginon funding source(s)
This project was primarily funded by a grant from the National Center for Research Resources at NIH (RR17573) with additional funding from NIH (GM61939) and NSF (DBI- 0352386).

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