Deep residual networks for crystallography trained on synthetic data

Mendez, D.; Holton, J.M.; Lyubimov, A.Y.; Hollatz, S.; Mathews, I.I.; Cichosz, A.; Martirosyan, V.; Zeng, T.; Stofer, R.; Liu, R.; Song, J.; McPhillips, S.; Soltis, M.; Cohen, A.E.

doi:10.1107/S2059798323010586

Acta Crystallographica Section D
Acta Crystallographica
Section D STRUCTURAL BIOLOGY

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Figure 16
Live X-ray diffraction-image analysis with Interceptor. (a) During data collection, the images are recorded on the file system and subsequently forwarded to a set of parallel processing modules. The results are then forwarded to the Blu-Ice beamline-control software and user interface. (b) Users can visualize the results in a configurable strip chart, which is updated as the data are collected. The configuration shown consists of a plot of resolution (top, red), peak count (middle, green) and overlapping lattice probability (called `splitting'; bottom, black/gray) versus image number. Near the end of the run, the `splitting' trace indicated the presence of overlapping crystal diffraction. Also at this point, the number of spots (green) increased, but the resolution remained unchanged, as expected.

STRUCTURAL
BIOLOGY

ISSN: 2059-7983

Volume 80| Part 1| January 2024| Pages 26-43

https://doi.org/10.1107/S2059798323010586

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