2020
DOI: 10.1107/s1600577520002398
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A phase-retrieval toolbox for X-ray holography and tomography

Abstract: Propagation-based phase-contrast X-ray imaging is by now a well established imaging technique, which – as a full-field technique – is particularly useful for tomography applications. Since it can be implemented with synchrotron radiation and at laboratory micro-focus sources, it covers a wide range of applications. A limiting factor in its development has been the phase-retrieval step, which was often performed using methods with a limited regime of applicability, typically based on linearization. In this work… Show more

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Cited by 76 publications
(96 citation statements)
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“…Note that for a biological cell at the given photon energy, absorption can be neglected, and the cell can essentially be regarded as a pure phase object. In this study, a nonlinear approach of the contrast transfer function (CTF) was used for phase retrieval (47,48). The phase distribution in the object plane fðr t Þ retrieved by the linear form of the CTF is given by…”
Section: X-ray Tomographymentioning
confidence: 99%
“…Note that for a biological cell at the given photon energy, absorption can be neglected, and the cell can essentially be regarded as a pure phase object. In this study, a nonlinear approach of the contrast transfer function (CTF) was used for phase retrieval (47,48). The phase distribution in the object plane fðr t Þ retrieved by the linear form of the CTF is given by…”
Section: X-ray Tomographymentioning
confidence: 99%
“…Secondly, a region of interest (ROI) scan was performed at propagation distances of 40, 41, 45 and 50 mm with a final voxel size of 50.21 nm. The phase retrieval and tomographic 3D image reconstruction was performed using the holotomography toolbox 21 in Matlab R2018b (The MathWorks Inc., USA). For each sample, the optimal phase retrieval algorithm was determined based on visual inspection.…”
Section: Methodsmentioning
confidence: 99%
“…For each sample, the optimal phase retrieval algorithm was determined based on visual inspection. These were either based on the contrast transfer function (CTF)-formalism 20,22 or on an implementation of the non-linear Tikhonov approximation 21,23 . Table 1 summarizes the selected algorithm and the ratio between phase shifting (δ) and absorbing (β) components of the index of refraction, i.e.…”
Section: Methodsmentioning
confidence: 99%
“…Note, that for a biological cell at the given photon energy, absorption can be neglected, and the cell can essentially be regarded as a pure phase object. In this study a nonlinear approach of the contrast transfer function (CTF) was used for phase retrieval (47,48). The phase distribution in the object plane (r ⊥ ) retrieved by the linear form of the CTF is given by…”
Section: X-ray Tomographymentioning
confidence: 99%
“…with natural units = for the (squared) spatial frequencies, measured intensities in the detector plane ( ) (r ⊥ ), ratio of imaginary and real part of the refractive index , N indicated the index of the respective distance and a frequency-dependent regularization parameter (k ⊥ ) (lim 1 for high and lim 2 for low spatial frequencies). The nonlinear approach uses the solution of the CTF as input for an iterative phase retrieval based on a minimization of the Tikhonov functional (47). Thus, the accuracy of the reconstructed phase is not less than the results of the CTF.…”
Section: X-ray Tomographymentioning
confidence: 99%