Simple merging technique for improving resolution in qualitative single image phase contrast tomography

Irvine, Sarah; Modregger, Peter; Wang, Zhentian; Marone, Federica; Stampanoni, Marco

doi:10.1364/oe.22.027257

Cited by 17 publications

(27 citation statements)

References 29 publications

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“…3(C), alongside the theoretical thickness for a sphere with a diameter of 1.5 mm (red). The thickness values from the phase-retrieval fit well with the theoretical values, differing only at the edges, where the reconstruction produces the ‘softer’ edges that are typical of this algorithm 25 .…”

Section: Resultssupporting

confidence: 60%

Propagation-based Phase-Contrast X-ray Imaging at a Compact Light Source

Gradl

Dierolf

Hehn

et al. 2017

Sci Rep

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We demonstrate the applicability of propagation-based X-ray phase-contrast imaging at a laser-assisted compact light source with known phantoms and the lungs and airways of a mouse. The Munich Compact Light Source provides a quasi-monochromatic beam with partial spatial coherence, and high flux relative to other non-synchrotron sources (up to 1010 ph/s). In our study we observe significant edge-enhancement and quantitative phase-retrieval is successfully performed on the known phantom. Furthermore the images of a small animal show the potential for live bio-imaging research studies that capture biological function using short exposures.

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Section: Resultssupporting

confidence: 60%

Propagation-based Phase-Contrast X-ray Imaging at a Compact Light Source

Gradl

Dierolf

Hehn

et al. 2017

Sci Rep

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show abstract

“…We also observe that in general, at any drying stage, the XPCI slices are more blurred than the XACI ones, due to the fact that phase retrieval algorithms usually act as low pass (spatial) frequency filters (Irvine et al ., ). Thus, the spatial resolution is expected to be better in the XACI images.…”

Section: Resultsmentioning

confidence: 97%

“…Despite the fact that the Paganin et al . () algorithm can be used mainly for qualitative phase contrast imaging in the case of nonpure phase objects, it has the advantage of being very robust in terms of a reduced number of artefacts when applied to case studies not satisfying completely its two basic assumptions, especially the constant

\frac{δ}{β}

one (Beltran et al ., ; Weitkamp et al ., ; Boone et al ., ; Irvine et al ., ).…”

Section: Methodsmentioning

confidence: 97%

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Visualization of water drying in porous materials by X‐ray phase contrast imaging

Yang

Griffa

Bonnin

et al. 2016

Journal of Microscopy

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We present in this study results from X-ray tomographic microscopy with synchrotron radiation performed both in attenuation and phase contrast modes on a limestone sample during two stages of water drying. No contrast agent was used in order to increase the X-ray attenuation by water. We show that only by using the phase contrast mode it is possible to achieve enough water content change resolution to investigate the drying process at the pore-scale. We performed 3D image analysis of the time-differential phase contrast tomogram. We show by the results of such analysis that it is possible to obtain a reliable characterization of the spatial redistribution of water in the resolved pore system in agreement with what expected from the theory of drying in porous media and from measurements performed with other approaches. We thus show the potential of X-ray phase contrast imaging for pore-scale investigations of reactive water transport processes which cannot be imaged by adding a contrast agent for exploiting the standard attenuation contrast imaging mode.

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“…The datasets were analyzed using Octopus Analysis (Inside Matters, Aalst, Belgium) and visualized using VGStudioMax (Volume Graphics, Heidelberg, Germany). For the visualization, a linear combination of the phase-retrieved and unprocessed data was used to enhance the edges of the object, similar to the approach presented in [23].…”

Section: High-resolution X-ray Ct Scanningmentioning

confidence: 99%