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MRCZ – A file format for cryo-TEM data with fast compression
McLeod, Robert A.; Righetto, Ricardo Diogo; Stewart, Andrew A.; Stahlberg, Henning
The introduction of fast CMOS detectors is moving the field of transmission electron microscopy into the computer science field of big data. Automated data pipelines control the instrument and initial processing steps which imposes more onerous data transfer and archiving requirements. Here we conduct a technical demonstration whereby storage and read/write times are improved 10× at a dose rate of 1 e−/pix/frame for data from a Gatan K2 direct-detection device by combination of integer decimation and lossless compression. The example project is hosted at github.com/em-MRCZ and released under the BSD license.
Keyword(s): lossless compression; data management; file archiving
Publication Date:
2018
Type: Journal article
Peer-Reviewed: Yes
Language(s): English
Institution: University of Limerick
Citation(s): 205320_166164
Journal of Structural Biology;201, pp. 252-257
https://doi.org/10.1016/j.jsb.2017.11.012
Publisher(s): Elsevier
First Indexed: 2018-10-11 06:26:54 Last Updated: 2018-12-07 07:35:42