Quantitative Analytical Spheroid Model for Scattering‐Type Scanning Near‐Field Optical Spectroscopy

Abstract Scattering‐type scanning near‐field optical microscopy (s‐SNOM) is a versatile technique in nanooptics, enabling local probing of optical responses beyond the diffraction limit from vis to THz frequencies. Its theoretical modeling based on tip‐sample interactions typically relies on computationally intensive numerical methods or phenomenological models with empirically fitted parameters, complicating spectral analysis and interpretation. Developing a rigorous quantitative analytical model remains a significant challenge in near‐field microscopy. Here, an accurate analytical solution is introduced for the prolate spheroid model of s‐SNOM in the quasi‐electrostatic limit. The solution is validated through comparisons with numerical simulations and experimental spectra. Due to its higher computational efficiency compared to numerical simulation and higher accuracy compared to phenomenological solutions, the solution for the spheroid model facilitates spectrum prediction and interpretation for homogeneous bulk samples, enables systematic exploration of parameter effects, and supports data generation for machine learning applications. Furthermore, the generality of the approach allows straightforward extension to more complex nanostructures.

Authors

Institutions

Publication Details

Journal
Advanced Optical Materials
Published
2025-09-26
DOI
https://doi.org/10.1002/adom.202501539
Citations
2
Primary Topic
Near-Field Optical Microscopy
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Analytical Spheroid Model for Scattering‐Type Scanning Near‐Field Optical Spectroscopy

Rainer Hillenbrand, Íker León, Alexey Y. Nikitin, К. В. Воронин
2 citations
Advanced Optical Materials
Near-Field Optical Microscopy
1.35
article

Quantitative Analytical Spheroid Model for Scattering‐Type Scanning Near‐Field Optical Spectroscopy

Rainer Hillenbrand, Íker León, Alexey Y. Nikitin, К. В. Воронин
article en
2 citations

Abstract

Abstract Scattering‐type scanning near‐field optical microscopy (s‐SNOM) is a versatile technique in nanooptics, enabling local probing of optical responses beyond the diffraction limit from vis to THz frequencies. Its theoretical modeling based on tip‐sample interactions typically relies on computationally intensive numerical methods or phenomenological models with empirically fitted parameters, complicating spectral analysis and interpretation. Developing a rigorous quantitative analytical model remains a significant challenge in near‐field microscopy. Here, an accurate analytical solution is introduced for the prolate spheroid model of s‐SNOM in the quasi‐electrostatic limit. The solution is validated through comparisons with numerical simulations and experimental spectra. Due to its higher computational efficiency compared to numerical simulation and higher accuracy compared to phenomenological solutions, the solution for the spheroid model facilitates spectrum prediction and interpretation for homogeneous bulk samples, enables systematic exploration of parameter effects, and supports data generation for machine learning applications. Furthermore, the generality of the approach allows straightforward extension to more complex nanostructures.

Advanced Optical MaterialsVol. 13(31)
Ikerbasque (ES), University of the Basque Country (ES), CIC nanoGUNE (ES), Donostia International Physics Center (ES)
Openalex Percentile: Top 17%
Near-Field Optical Microscopy
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.