Published July 2009 | Version Accepted Version
Journal Article Open

Fully automated, sequential tilt-series acquisition with Leginon

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Scripps Research Institute
  • 3. ROR icon University of California, San Francisco

Abstract

Electron tomography has become a uniquely powerful tool for investigating the structures of individual cells, viruses, and macromolecules. Data collection is, however, time consuming and requires expensive instruments. To optimize productivity, we have incorporated one of the existing tilt-series acquisition programs, UCSF Tomo, into the well-developed automatic electron microscopy data collection package Leginon to enable fully automatic, sequential tilt-series acquisition. Here we describe how UCSF Tomo was integrated into Leginon, what users must do to set up a data collection session, how the automatic collection proceeds, how archived data about the process can be accessed and used, and how the software has been tested.

Additional Information

© 2009 Elsevier Inc. Received 21 October 2008; revised 27 March 2009; accepted 31 March 2009. Available online 8 April 2009. We thank Drs. Bill Tivol, Prabha Dias, Jane Ding, Lu Gan, Ariane Briegel, Elizabeth Wright, Zhou Li and Alasdair McDowall for advice and testing during the development of MSI Tomography. This work was supported in part by NIH Grants R01 AI067548 and P50 GM082545 and DOE Grant DE-FG02-04ER63785 to GJJ, a Searle Scholar Award to GJJ, the Beckman Institute at Caltech, and gifts to Caltech from the Gordon and Betty Moore Foundation and Agouron Institute. Leginon development at the National Resource for Automated Molecular Microscopy is supported by the National Institutes of Health though the National Center for Research Resources' P41 program (RR17573 and R01 RR023093).

Attached Files

Accepted Version - nihms-123659.pdf

Files

nihms-123659.pdf

Files (1.8 MB)

Name Size
md5:99206bcfcef0755727653b48a06b2218
1.8 MB Preview Download

Additional details

Identifiers

PMCID
PMC2724967
Eprint ID
21267
Resolver ID
CaltechAUTHORS:20101209-110311836

Funding

NIH
R01 AI067548
NIH
P50 GM082545
Department of Energy (DOE)
DE-FG02-04ER63785
Searle Scholars Program
Caltech Beckman Institute
Gordon and Betty Moore Foundation
Agouron Institute
NIH
RR17573
NIH
R01 RR023093

Dates

Created
2010-12-14
Created from EPrint's datestamp field
Updated
2021-11-09
Created from EPrint's last_modified field