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Bayesian compressed sensing for nanoscale chemical mapping in the mid-infrared regime

01/2020 - 06/2023


  • Deutsche Forschungsgemeinschaft (Opens external link in new windowDFG)

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.


Further information: Opens external link in new windowhere