AreTomo: An integrated software package for automated marker-free, motion-corrected cryo-electron tomographic alignment and reconstruction
Abstract
Copyright and License
© 2022 The Author(s). Published by Elsevier Under a Creative Commons license: Attribution-NonCommercial-NoDerivs 4.0 International.
Acknowledgement
The authors are thankful to Dr. J. Lefman and G. Thomas-Collignon for support and discussion of code optimization. NVIDIA Corporate kindly and generously provided two NVIDIA Quadro GP100 cards and two NVIDIA Quadro GV100 cards. Y.C. is an investigator of Howard Hughes Medical Institute. This work was supported by NIH grants R35GM118099 (DAA) and 1R35GM140847 (YC) as well as NIH S10 equipment grants 1S10OD026881, 1S10OD020054, and 1S10OD021741. We thank David Bulkley, Glenn Gilbert and Matt Harington for their invaluable support of the UCSF cryoEM facility.
The authors are grateful to Prof. Eric Snijder for his critical support of our virology research at Leiden University Medical Center. The data on virus-infected samples were collected at the Netherlands Centre for Electron Nanoscopy (NeCEN) made possible through financial support from the Dutch Roadmap Grant NEMI (NWO grant 184.034.014).
Code Availability
AreTomo can be downloaded from https://msg.ucsf.edu/software and is free for academic use and its source code is available on request directed to the corresponding authors.
Conflict of Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Additional details
- PMCID
- PMC9117686
- Nvidia (United States)
- Howard Hughes Medical Institute
- R35GM118099
- National Institutes of Health
- 1R35GM140847
- National Institutes of Health
- 1S10OD026881
- National Institutes of Health
- 1S10OD020054
- National Institutes of Health
- 1S10OD021741
- National Institutes of Health
- 84.034.014
- Dutch Research Council