Article
Compressed sensing FTIR nano-spectroscopy and nano-imaging. Public Deposited
https://scholar.colorado.edu/concern/articles/3f462596f
- 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
- Date Issued
- 2018-07-09
- Academic Affiliation
- Journal Title
- Journal Issue/Number
- 14
- Journal Volume
- 26
- File Extent
- 18115-18124
- Publisher
- Last Modified
- 2019-12-05
- Identifier
- PubMed ID: 30114091
- Resource Type
- Rights Statement
- DOI
- ISSN
- 1094-4087
- Language
Relationships
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Thumbnail | Title | Date Uploaded | Visibility | Actions |
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compressedSensingFtirNanoSpectroscopyAndNanoImaging.pdf | 2019-12-05 | Public | Download |