Article

Abstract

• Infrared scattering scanning near-field optical microscopy (IR s-SNOM) provides for spectroscopic imaging with nanometer spatial resolution, yet full spatio-spectral imaging is constrained by long measurement times. Here, we demonstrate the application of compressed sensing algorithms to achieve hyperspectral FTIR-based nano-imaging at an order of magnitude faster imaging speed to achieve the same spectral content compared to conventional approaches. At the example of the spectroscopy of a single vibrational resonance, we discuss the relationship of prior knowledge of sparseness of the employed Fourier base functions and sub-sampling. Compressed sensing nano-FTIR spectroscopy promises both rapid and sensitive chemical nano-imaging which is highly relevant in academic and industrial settings for fundamental and applied nano- and bio-materials research.

Creator

• Elster, Clemens
• Hoehl, Arne
• Ulrich, Georg
• Wübbeler, Gerd
• Pierz, Klaus
• Schmähling, Franko
• Kruskopf, Mattias
• Raschke, Markus B
• Kästner, Bernd
• Hornemann, Andrea

Date Issued

• 2018-07-09

Academic Affiliation

• Physics

Journal Title

• Optics Express

Journal Issue/Number

• 14

Journal Volume

• 26

File Extent

• 18115-18124

Publisher

• Optical Society of America

Last Modified

• 2019-12-05

Identifier

• PubMed ID: 30114091

Resource Type

• Article

Rights Statement

• In Copyright

DOI

•  https://doi.org/10.1364/OE.26.018115

ISSN

• 1094-4087

Language

• English [eng]

Relationships

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