Coherent Diffractive Imaging Using Randomly Coded Masks

Matthew H. Seaberg 1, 2, 3 Alexandre D'Aspremont 1, 2 Joshua J. Turner 3
2 SIERRA - Statistical Machine Learning and Parsimony
DI-ENS - Département d'informatique de l'École normale supérieure, ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8548
Abstract : Coherent diffractive imaging (CDI) provides new opportunities for high resolution X-ray imaging with simultaneous amplitude and phase contrast. Extensions to CDI broaden the scope of the technique for use in a wide variety of experimental geometries and physical systems. Here, we experimentally demonstrate a new extension to CDI that encodes additional information through the use of a series of randomly coded masks. The information gained from the few additional diffraction measurements removes the need for typical object-domain constraints; the algorithm uses prior information about the masks instead. The experiment is performed using a laser diode at 532.2 nm, enabling rapid prototyping for future X-ray synchrotron and even free electron laser experiments. Diffraction patterns are collected with up to 15 different masks placed between a CCD detector and a single sample. Phase retrieval is performed using a convex relaxation routine known as "PhaseCut" followed by a variation on Fienup's input-output algorithm. The reconstruction quality is judged via calculation of phase retrieval transfer functions as well as by an object-space comparison between reconstructions and a lens-based image of the sample. The results of this analysis indicate that with enough masks (in this case 3 or 4) the diffraction phases converge reliably, implying stability and uniqueness of the retrieved solution.
Type de document :
Article dans une revue
Applied Physics Letters, American Institute of Physics, 2015, 107 (23), pp.231103
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Contributeur : Alexandre D'Aspremont <>
Soumis le : lundi 7 décembre 2015 - 16:09:05
Dernière modification le : jeudi 7 février 2019 - 15:49:16

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  • HAL Id : hal-01239315, version 1
  • ARXIV : 1509.03229



Matthew H. Seaberg, Alexandre D'Aspremont, Joshua J. Turner. Coherent Diffractive Imaging Using Randomly Coded Masks. Applied Physics Letters, American Institute of Physics, 2015, 107 (23), pp.231103. 〈hal-01239315〉



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