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Nanoscale Spatial Resolution in Far-Field Raman Imaging Using Hyperspectral Unmixing in Combination with Positivity Constrained Super-Resolution.

Dominik J WinterauerDaniel Funes-HernandoJean-Luc DuvailSaïd MoussaouiTim BattenBernard Humbert
Published in: Applied spectroscopy (2020)
This work introduces hyper-resolution (HyRes), a numerical approach for spatial resolution enhancement that combines hyperspectral unmixing and super-resolution image restoration (SRIR). HyRes yields a substantial increase in spatial resolution of Raman spectroscopy while simultaneously preserving the undistorted spectral information. The resolving power of this technique is demonstrated on Raman spectroscopic data from a polymer nanowire sample. Here, we demonstrate an achieved resolution of better than 14 nm, a more than eightfold improvement on single-channel image-based SRIR and 25× better than regular far-field Raman spectroscopy, and comparable to near-field probing techniques.
Keyphrases
  • raman spectroscopy
  • single molecule
  • deep learning
  • high resolution
  • atomic force microscopy
  • healthcare
  • photodynamic therapy
  • magnetic resonance
  • machine learning
  • mass spectrometry
  • health information