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An approach is described and evaluated for spectrally parallel hyperspectral mid-infrared imaging with optical spatial resolution. Dual-comb mid-infrared spectroscopy using a commercial QCL DCS system (IRis-core, IRsweep) enables acquisition of infrared spectra at high speed (<1 millisecond) through generation of optical beat patterns and radio-frequency detection. The high-speed nature of the spectral acquisition is shown to support spectral mapping in microscopy measurements. Direct detection of the transmitted infrared beam yields excellent spectral information, but the long infrared wavelength imposes low diffraction-limited spatial resolution. Use of fluorescence-detected photothermal infrared (FPTIR) imaging provides high spatial resolution tied directly to the integrated IR absorption. Computational imaging using a multi-agent consensus equilibrium (MACE) approach combines the high spatial resolution of FPTIR and the high spectral information of dual-comb infrared transmission in a single optimized equilibrium hyperspectral data cube.
Turner et al. (Tue,) studied this question.