Project

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.