| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8648238 | Journal of Structural Biology | 2018 | 16 Pages |
Abstract
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 10Ã at a dose rate of 1 eâ/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.
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Authors
Robert A. McLeod, Ricardo Diogo Righetto, Andy Stewart, Henning Stahlberg,