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Found 2 papers, 1 papers with code
Three-dimensional Coherent X-ray Diffraction Imaging via Deep Convolutional Neural Networks
The trained ML model can rapidly provide an immediate result with high accuracy which could benefit real-time experiments, and the predicted result can be further refined with transfer learning.
General approaches for shear-correcting coordinate transformations in Bragg coherent diffraction imaging: Part 1
Part II builds upon the geometric theory developed in Part I with the formalism to correct the shear distortions directly on an orthogonal grid within the phase retrieval algorithm itself, allowing more physically realistic constraints to be applied.
Instrumentation and Detectors
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