Enhancing hyperspectral EELS analysis of complex plasmonic nanostructures with pan-sharpening

Abstract

Nanoscale hyperspectral techniques—such as electron energy loss spectroscopy (EELS)—are critical to understand the optical response in plasmonic nanostructures, but as systems become increasingly complex, the required sampling density and acquisition times become prohibitive for instrumental and specimen stability. As a result, there has been a recent push for new experimental methodologies that can provide comprehensive information about a complex system, while significantly reducing the duration of the experiment. Here, we present a pan-sharpening approach to hyperspectral EELS analysis, where we acquire two datasets from the same region (one with high spatial resolution and one with high spectral fidelity) and combine them to achieve a single dataset with the beneficial properties of both. This work outlines a straightforward, reproducible pathway to reduced experiment times and higher signal-to-noise ratios, while retaining the relevant physical parameters of the plasmonic response, and is generally applicable to a wide range of spectroscopy modalities.

Electromagnetically Porous Infrared Plasmonic F,Sn-Doped In2O3 Semiconductor Nanocrystals for Infrared Optoelectronic Sensors

“…The observed liquid dispersed FTIR spectra in ensemble with unique shell island structures would provide difficult to unravel plasmonic properties as a representation of individual NC opto-physical properties. A single-particle study is thus employed through monochromated aberration-corrected, scanning transmission electron microscopy-electron energy loss spectroscopy (MAC-STEM-EELS) characterization to directly observe the infrared LSPR near-field arising from single NCs. , COMSOL finite element method (FEM) electromagnetic near-field simulations are further supported to identify the shape-induced LSPR modal response on cube-on-cube NCs.…”

“…In this study, we present the continued development of a complex hierarchical cube-on-cube structure on a (400) crystalline surface in F,Sn:In 2 O 3 NCs passivated with F anions, with Sn cation as an n-type aliovalent codopant. Previous state-of-the-art nanocube self-assembly demonstrated enhanced plasmonic near-field in between interparticle nanogaps. , Yet, the overall activated LSPR field area was limited by its low interparticle porosity due to the surface area occupying the NC bulk material. Such a complex hierarchical cube-on-cube structure allows a high degree of electromagnetically porous interparticle nanogap structures directly mapped and observed by electron energy loss spectroscopy (EELS) in scanning transmission electron microscopy (STEM).…”

Nanostructure-derived anti-reflectivity in leafhopper brochosomes

“…Boundary conditions were then used for simulating the 2D periodicity using Floquet periodicity on the lateral directions, with the incident radiation as plane waves impinging on the geometry at normal incidence or at specific angles matching the experimental data. Material properties were modelled using the refractive indices for the Ag, 10% tin-doped indium oxide [41][42][43][44] , 3%-fluorine-doped indium oxide [41] and chitin [6,8,35] .…”

Nanostructure‐Derived Antireflectivity in Leafhopper Brochosomes

“…Boundary conditions were then used for simulating the 2D periodicity using Floquet periodicity on the lateral directions, with the incident radiation as plane waves impinging on the geometry at normal incidence or at specific angles matching the experimental data. Material properties were modeled using the refractive indices for the Ag, 10% tin-doped indium oxide, [37][38][39][40] 3%-fluorine-doped indium oxide, [37] and chitin. [6,8,32] Reflectance spectra were measured from the global output of the S-parameters probed at the various collection ports.…”