19 research outputs found

    Quantitative Chemically-Specific Coherent Diffractive Imaging of Buried Interfaces using a Tabletop EUV Nanoscope

    Full text link
    Characterizing buried layers and interfaces is critical for a host of applications in nanoscience and nano-manufacturing. Here we demonstrate non-invasive, non-destructive imaging of buried interfaces using a tabletop, extreme ultraviolet (EUV), coherent diffractive imaging (CDI) nanoscope. Copper nanostructures inlaid in SiO2 are coated with 100 nm of aluminum, which is opaque to visible light and thick enough that neither optical microscopy nor atomic force microscopy can image the buried interfaces. Short wavelength (29 nm) high harmonic light can penetrate the aluminum layer, yielding high-contrast images of the buried structures. Moreover, differences in the absolute reflectivity of the interfaces before and after coating reveal the formation of interstitial diffusion and oxidation layers at the Al-Cu and Al-SiO2 boundaries. Finally, we show that EUV CDI provides a unique capability for quantitative, chemically-specific imaging of buried structures, and the material evolution that occurs at these buried interfaces, compared with all other approaches.Comment: 12 pages, 8 figure

    Tabletop EUV Coherent Diffractive Imaging and Small Angle Scattering of Colloidal Crystals

    Get PDF
    We demonstrate full-field quantitative ptychographic imaging using tabletop high harmonics to visualize the extended structure of silica close-packed nanosphere multilayers with <20nm spatial resolution, and also extract small-angle EUV Bragg scattering order/disorder correlations

    Tabletop EUV Coherent Diffractive Imaging and Small Angle Scattering of Colloidal Crystals

    No full text
    We demonstrate full-field quantitative ptychographic imaging using tabletop high harmonics to visualize the extended structure of silica close-packed nanosphere multilayers with <20nm spatial resolution, and also extract small-angle EUV Bragg scattering order/disorder correlations
    corecore