Ptychographic imaging ellipsometry with extreme ultraviolet light

Journal Article (2026)
Author(s)

Matthias Gouder (Vrije Universiteit Amsterdam, TU Delft - Applied Sciences, Advanced Research Center for Nanolithography)

Fengling Zhang (Vrije Universiteit Amsterdam, Advanced Research Center for Nanolithography, TU Delft - Applied Sciences)

Tunç Çiftçi (Advanced Research Center for Nanolithography)

Lars Loetgering (Carl Zeiss)

Kjeld S.E. Eikema (Vrije Universiteit Amsterdam, Advanced Research Center for Nanolithography)

Stefan Witte (Advanced Research Center for Nanolithography, TU Delft - Applied Sciences, TU Delft - Applied Sciences)

Research Group
ImPhys/Witte group
DOI related publication
https://doi.org/10.1364/OPTICA.596484 Final published version
More Info
expand_more
Publication Year
2026
Language
English
Research Group
ImPhys/Witte group
Journal title
Optica
Issue number
5
Volume number
13
Pages (from-to)
959-967
Downloads counter
25
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Quantitative optical imaging is an important diagnostic tool for metrology and materials science. Especially in the extreme ultraviolet wavelength range, the combination of high spatial resolution and sensitivity to material properties holds promise for quantitative characterization of complex nanostructures. Unlocking this potential requires an approach that links the relevant material properties to optically measurable observables in a spatially resolved way. Here we show that high-resolution maps of the complex refractive index of a multi-element nanostructure can be reconstructed from polarization-resolved extreme ultraviolet ptychography measurements. We record ptychography data in a reflection geometry for two incident polarization states and variable angle of incidence, and show that the resulting amplitude and phase information can be analysed to yield accurate maps of the local refractive index and surface profile, using an automatic-differentiation-based reconstruction framework. Our approach enables determination of local material composition through a segmentation analysis, as well as high-resolution quantitative imaging of optically addressable properties of nanostructures.