Patching-based deep-learning model for the inpainting of Bragg coherent diffraction patterns affected by detector gaps

Masto, M.; Favre-Nicolin, V.; Leake, S.; Schülli, T.; Richard, M.-I.; Bellec, E.

doi:10.1107/S1600576724004163

Journal of Applied Crystallography Journal of Applied
Crystallography

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Figure 5
Prediction accuracy versus average intensity in a cropped portion. The model prediction becomes more accurate as the overall intensity inside the considered portion increases. Conversely, in cases of low photon counts – indicating a prevalence of noise within the portion – the predictions were more prone to inaccuracies.

JOURNAL OF
APPLIED
CRYSTALLOGRAPHY

ISSN: 1600-5767

Volume 57| Part 4| August 2024|

https://doi.org/10.1107/S1600576724004163

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