First day of “Deep learning, image analysis, inverse problems, and optimization (DIPOpt)” was very fruitful. Three talks by Martin Storath, Odyssée Merveille, and Xiaohao Cai. In addition, I had the chance to present a poster on Electron Ptychography.
#ptychography #microscopy #electronmicroscop #phaseretrieval #InverseProblem
Hello #AIP2023 conference, Session MS59-1: "Advanced Reconstruction and #PhaseRetrieval in #Nano #XRay #Tomography"
#AppliedInverseProblems

Here is a recent paper from my previous gig at #argonnenationallaboratory published in #npjcompumats. We demonstrate #coherent #diffraction #xrays #imaging at the #advancedphotonsource #synchrotron through a new #optimization based #phaseretrieval scheme. Our method effectively leverages the power of #hpc to vastly improve #3Dimensional reconstructions of defected #crystals on the #nanoscale.

https://www.nature.com/articles/s41524-023-01022-7

#physics #materialscience #microstructure #nanoscience #argonnenationallab

Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization - npj Computational Materials

In this paper we demonstrated a method to reconstruct vector-valued lattice distortion fields within nanoscale crystals by optimization of a forward model of multi-reflection Bragg coherent diffraction imaging (MR-BCDI) data. The method flexibly accounts for geometric factors that arise when making BCDI measurements, is amenable to efficient inversion with modern optimization toolkits, and allows for globally constraining a single image reconstruction to multiple Bragg peak measurements. This is enabled by a forward model that emulates the multiple Bragg peaks of a MR-BCDI experiment from a single estimate of the 3D crystal sample. We present this forward model, we implement it within the stochastic gradient descent optimization framework, and we demonstrate it with simulated and experimental data of nanocrystals with inhomogeneous internal lattice displacement. We find that utilizing a global optimization approach to MR-BCDI affords a reliable path to convergence of data which is otherwise challenging to reconstruct.

Nature

Oleh Melnyk, Helmholtz Munich: Understanding gradient methods for blind #ptychography
[#xray #imaging #phaseretrieval]

Scanning technique with overlapping illuminations, to invert far-field intensities into near-field amplitude and phase, and recover both object and illumination

But … why does it work?