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Coherent diffractive imaging (CDI), using both X-rays and electrons, has madeextremely rapid progress over the past two decades. The associatedreconstruction algorithms are typically iterative, and seeded with a crudefirst estimate. A deterministic method for Bragg Coherent Diffraction Imaging(Pavlov et al., Sci. Rep. 7, 1132 (2017)) is used as a more refined startingpoint for a shrink-wrap iterative reconstruction procedure. The appropriatecomparison with the autocorrelation function as a starting point is performed.Real-space and Fourier-space error metrics are used to analyse the convergenceof the reconstruction procedure for noisy and noise-free simulated data. Ourresults suggest that the use of deterministic-CDI reconstructions, as a seedfor subsequent iterative-CDI refinement, may boost the speed and degree ofconvergence compared to the cruder seeds that are currently commonly used. Wealso highlight the utility of monitoring multiple error metrics in the contextof iterative refinement.

Deterministic X-ray Bragg coherent diffraction imaging as a seed for subsequent iterative reconstruction