Mitigating tilt-induced artifacts in reflection ptychography via optimization of the tilt angles

Ptychography in a reflection geometry shows great promise for non-destructive imaging of 3-dimensional nanostructures at the surface of a thick substrate. A major challenge to obtain high quality reflection-ptychographic images under near-grazing conditions has been to calibrate the incidence angle used to straighten the measured curved diffraction patterns in a process referred to as ‘tilted plane correction’ (TPC). In this work, we leverage the flexibility of automatic differentiation (AD)-based modeling to realize an alternative approach, where the tilted propagation is included in the forward model. Use of AD allows us to jointly optimize the tilt angles with the typical probe and object, eliminating the need for accurate calibration or random search optimization. The approach was validated using datasets generated with an extreme ultraviolet (EUV) beamline based on both a tabletop high harmonic generation (HHG) source and a visible laser. We demonstrate that the proposed approach can converge to a precision of ±0.05 ∘ for probe beams at 70 ∘ angle of incidence, possibly precise enough for use as a calibration approach. Furthermore, we demonstrate that optimizing for the tilt angles reduces artifacts and increases reconstruction fidelity. Use of AD not only streamlines the current ptychographic reconstruction process, but should also enable optimization of more complex models in other domains, which will likely be useful for future advancements in computational imaging.

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Publication Details

Journal
Optics Express
Published
2024-11-06
DOI
https://doi.org/10.1364/oe.542569
Citations
9
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
5.47

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article

Mitigating tilt-induced artifacts in reflection ptychography via optimization of the tilt angles

Roland Horsten, W. Coene, Sven Weerdenburg, Christina L. Porter et al.
9 citations
Optics Express
Advanced X-ray Imaging Techniques
5.47
article

Mitigating tilt-induced artifacts in reflection ptychography via optimization of the tilt angles

Roland Horsten, W. Coene, Sven Weerdenburg, Christina L. Porter, Yifeng Shao, Sander Senhorst
article en
9 citations

Abstract

Ptychography in a reflection geometry shows great promise for non-destructive imaging of 3-dimensional nanostructures at the surface of a thick substrate. A major challenge to obtain high quality reflection-ptychographic images under near-grazing conditions has been to calibrate the incidence angle used to straighten the measured curved diffraction patterns in a process referred to as ‘tilted plane correction’ (TPC). In this work, we leverage the flexibility of automatic differentiation (AD)-based modeling to realize an alternative approach, where the tilted propagation is included in the forward model. Use of AD allows us to jointly optimize the tilt angles with the typical probe and object, eliminating the need for accurate calibration or random search optimization. The approach was validated using datasets generated with an extreme ultraviolet (EUV) beamline based on both a tabletop high harmonic generation (HHG) source and a visible laser. We demonstrate that the proposed approach can converge to a precision of ±0.05 ∘ for probe beams at 70 ∘ angle of incidence, possibly precise enough for use as a calibration approach. Furthermore, we demonstrate that optimizing for the tilt angles reduces artifacts and increases reconstruction fidelity. Use of AD not only streamlines the current ptychographic reconstruction process, but should also enable optimization of more complex models in other domains, which will likely be useful for future advancements in computational imaging.

Optics ExpressVol. 32(25)
ASML (Netherlands) (NL)
Topconsortium voor Kennis en Innovatie
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Openalex Percentile: Top 3%
Advanced X-ray Imaging Techniques
5.47
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Mitigating tilt-induced artifacts in reflection ptychography via optimization of the tilt angles — Roland Horsten, W. Coene, et al. · Optics Express (2024) | TGRS Research Map | TGRS