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Gauging low-dose X-ray phase-contrast imaging at a single and large propagation distance
Author(s) -
Ralf Hofmann,
Alexander Schober,
Steffen Hahn,
Julian Moosmann,
Jubin Kashef,
Madeleine Hertel,
Venera Weinhardt,
Daniel Hänschke,
Lukas Helfen,
Iván A. Sánchez Salazar,
Jean-Pierre Guigay,
Xianghui Xiao,
Tilo Baumbach
Publication year - 2016
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.004331
Subject(s) - physics , phase retrieval , optics , phase (matter) , attenuation , coherence (philosophical gambling strategy) , spatial frequency , phase contrast imaging , wavefront , talbot effect , fourier transform , diffraction , computational physics , phase contrast microscopy , quantum mechanics
The interactions of a beam of hard and spatio-temporally coherent X-rays with a soft-matter sample primarily induce a transverse distribution of exit phase variations δϕ (retardations or advancements in pieces of the wave front exiting the object compared to the incoming wave front) whose free-space propagation over a distance z gives rise to intensity contrast gz. For single-distance image detection and |δϕ| ≪ 1 all-order-in-z phase-intensity contrast transfer is linear in δϕ. Here we show that ideal coherence implies a decay of the (shot-)noise-to-signal ratio in gz and of the associated phase noise as z(-1/2) and z(-1), respectively. Limits on X-ray dose thus favor large values of z. We discuss how a phase-scaling symmetry, exact in the limit δϕ → 0 and dynamically unbroken up to |δϕ| ∼ 1, suggests a filtering of gz in Fourier space, preserving non-iterative quasi-linear phase retrieval for phase variations up to order unity if induced by multi-scale objects inducing phase variations δϕ of a broad spatial frequency spectrum. Such an approach continues to be applicable under an assumed phase-attenuation duality. Using synchrotron radiation, ex and in vivo microtomography on frog embryos exemplifies improved resolution compared to a conventional single-distance phase-retrieval algorithm.

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