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Efficient correction of wavefront inhomogeneities in X-ray holographic nanotomography by random sample displacement

Abstract : In X-ray tomography, ring-shaped artifacts present in the reconstructed slices are an inherent problem degrading the global image quality and hindering the extraction of quantitative information. To overcome this issue, we propose a strategy for suppression of ring artifacts originating from the coherent mixing of the incident wave and the object. We discuss the limits of validity of the empty beam correction in the framework of a simple formalism. We then deduce a correction method based on two-dimensional random sample displacement, with minimal cost in terms of spatial resolution, acquisition, and processing time. The method is demonstrated on bone tissue and on a hydrogen electrode of a ceramic-metallic solid oxide cell. Compared to the standard empty beam correction, we obtain high quality nanotomography images revealing detailed object features. The resulting absence of artifacts allows straightforward segmentation and posterior quantification of the data. (C) 2018 Author(s).
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Maxime Hubert, Alexandra Pacureanu, Cyril Guilloud, Yang Yang, Julio C. da Silva, et al.. Efficient correction of wavefront inhomogeneities in X-ray holographic nanotomography by random sample displacement. Applied Physics Letters, American Institute of Physics, 2018, 112 (20), pp.203704-1-203704-5. ⟨10.1063/1.5026462⟩. ⟨hal-02976439⟩

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