Smart Scattering Scanning Near-Field Optical Microscopy

Labouesse, Simon; Johnson, Samuel C.; Bechtel, Hans A.; Raschke, Markus B.; Piestun, Rafael

doi:10.1021/acsphotonics.0c00553

Smart Scattering Scanning Near-Field Optical Microscopy

Journal Article · Wed Nov 11 23:00:00 EST 2020 · ACS Photonics

DOI:https://doi.org/10.1021/acsphotonics.0c00553· OSTI ID:1834568

Labouesse, Simon ^[1]; ^[1]; Bechtel, Hans A. ^[2]; ^[1]; ^[1]

Univ. of Colorado, Boulder, CO (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Scattering scanning near-field optical microscopy (s-SNOM) provides spectroscopic imaging from molecular to quantum materials with few nanometer deep subdiffraction limited spatial resolution. However, in its conventional implementation s-SNOM is slow to effectively acquire a series of spatio-spectral images, especially with large fields of view. This problem is further exacerbated for weak resonance contrast or when using light sources with limited spectral irradiance. Indeed, the generally limited signal-to-noise ratio prevents sampling a weak signal at the Nyquist sampling rate. Here, we demonstrate how acquisition time and sampling rate can be significantly reduced by using compressed sampling, matrix completion, and adaptive random sampling, while maintaining or even enhancing the physical or chemical image content. We use fully sampled real data sets of molecular, biological, and quantum materials as ground-truth physical data and show how deep under-sampling with a corresponding reduction of acquisition time by 1 order of magnitude or more retains the core s-SNOM image information. We demonstrate that a sampling rate of up to 6× smaller than the Nyquist criterion can be applied, which would provide a 30-fold reduction in the data required under typical experimental conditions. Furthermore, our smart s-SNOM approach is generally applicable and provides systematic full spatio-spectral s-SNOM imaging with a large field of view at high spectral resolution and reduced acquisition time.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1834568

Journal Information:: ACS Photonics, Journal Name: ACS Photonics Journal Issue: 12 Vol. 7; ISSN 2330-4022

Publisher:: American Chemical Society (ACS)Copyright Statement

Country of Publication:: United States

Language:: English

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37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
adaptive sampling
algorithms
compressed sensing
compression
computer simulations
denoising
light
matrix completion
near field
redox reactions
s-SNOM

Smart Scattering Scanning Near-Field Optical Microscopy

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