Bayesian compressed sensing for nanoscale chemical mapping in the mid-infrared regime
01/2020 - 06/2023
Förderung
- Deutsche Forschungsgemeinschaft (DFG)
Functional nanomaterials provide the basis for novel forms of electronics, sensing or therapeutics. Their understanding and design require fabrication informed by nanoscale chemical mapping. Novel scanning probe-based spectroscopy using broadband infrared radiation emerged as a promising imaging technique at nanometer spatial resolution. However, the pixel-by-pixel data acquisition and conventional Fourier-transform schemes lead to prohibitive imaging times and enhanced radiation damage. This project aims to overcome these limitations by developing a novel hyperspectral imaging scheme based on Bayesian compressed sensing that utilizes prior knowledge about the spectra.
Partner
- FU Berlin (Prof. Dr. Eckart Rühl)
- PTB Working Group IR Spectrometry (PTB 7.11, Dr. Bernd Kästner)
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