Jiacheng Diao et al.: Single-shot X-ray imaging of two-dimensional strain fields in colloidal crystals ##XRayFreeElectronLasers##BraggCoherentDiffractionImaging##ColloidalCrystals@ucl...##IUCrhttps://journals.iucr.org/paper?S2052252524012521
Single-shot X-ray imaging of two-dimensional strain fields in colloidal crystals
We used the Bragg coherent diffraction imaging method at the Coherent Scattering and Imaging endstation of the Shanghai Soft X-ray Free Electron Laser Facility to characterize colloidal crystals. This method successfully reproduced the static shape of crystals and we observed the defect structure of colloidal samples.
journals.iucr.org
February 12, 2025 at 1:01 AM
Jiacheng Diao et al.: Single-shot X-ray imaging of two-dimensional strain fields in colloidal crystals ##XRayFreeElectronLasers##BraggCoherentDiffractionImaging##ColloidalCrystals@ucl...##IUCrhttps://journals.iucr.org/paper?S2052252524012521
Matteo Masto et al.: Patching-based deep-learning model for the inpainting of Bragg coherent diffraction patterns affected by detector gaps ##BraggCoherentDiffractionImaging##ImageInpainting##DeepLearning... ##IUCrhttps://journals.iucr.org/paper?S1600576724004163
Patching-based deep-learning model for the inpainting of Bragg coherent diffraction patterns affected by detector gaps
Large pixel detectors exhibit gaps which affect data analysis because of missing data, e.g. for coherent diffraction imaging (CDI). A patching-based deep-learning algorithm is proposed, which allows the missing data to be estimated for arbitrary detector dimensions when applied to Bragg CDI, thus reducing the gap-induced artifacts in the reconstructions.
journals.iucr.org
June 19, 2024 at 12:01 AM
Matteo Masto et al.: Patching-based deep-learning model for the inpainting of Bragg coherent diffraction patterns affected by detector gaps ##BraggCoherentDiffractionImaging##ImageInpainting##DeepLearning... ##IUCrhttps://journals.iucr.org/paper?S1600576724004163