2020
DOI: 10.1021/acsanm.9b02019
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Characterization of Nanomaterials by Locally Determining Their Complex Permittivity with Scattering-Type Scanning Near-Field Optical Microscopy

Abstract: Scattering-type scanning near-field optical microscopy (s-SNOM) is currently regarded as a powerful tool for exploring important optical properties at nanoscale resolutions depending only on the size of a sharp tip that is scanned across the sample surface while being excited with a focused laser beam. Recently, it was shown that, among others, s-SNOM can quantitatively map the complex permittivity of materials and biological samples and hence other intrinsic related optical properties, such as the refractive … Show more

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Cited by 19 publications
(18 citation statements)
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“…At least 3 different 10 × 10 μm fields of view (FOVs) were acquired including both glass substrate regions (used as reference, required for potential quantitative s-SNOM image analyses [ 26 , 40 , 60 ]) and bacterial cells. In addition, ≥1 FOV was imaged at higher magnification (i.e., by scanning a region of lower dimension, namely, of 2 × 2 or 4 × 4 μm).…”
Section: Methodsmentioning
confidence: 99%
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“…At least 3 different 10 × 10 μm fields of view (FOVs) were acquired including both glass substrate regions (used as reference, required for potential quantitative s-SNOM image analyses [ 26 , 40 , 60 ]) and bacterial cells. In addition, ≥1 FOV was imaged at higher magnification (i.e., by scanning a region of lower dimension, namely, of 2 × 2 or 4 × 4 μm).…”
Section: Methodsmentioning
confidence: 99%
“…This process depends on the local dielectric properties of the sample [ 25 ], given the mutual perturbations occurring between the polarizabilities of the sample and the probe. Interferometric detection of the backscattered light yields thus nanoscale-resolved amplitude and phase images, which can reveal various important properties of nanostructured materials [ 12 , 26 ]. Measuring the amplitude and the phase changes separately is of interest given that these two different signals contain complementary information about the sample.…”
Section: Contextmentioning
confidence: 99%
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