学术文献库

Hyperspectral microscopy is an imaging technique that provides spectroscopic information with high spatial resolution. When applied in the relevant wavelength region, such as in the infrared (IR), it can reveal a rich spectral fingerprint across different regions of a sample. Challenges associated with low efficiency and high cost of IR light sources and detector arrays have limited its broad adoption. We introduce a new approach to IR hyperspectral microscopy, where the IR spectral map of the sample is obtained with off-the-shelf components built for visible light. The technique is based on the nonlinear interference of correlated photons generated via parametric down-conversion. We demonstrate chemical mapping of a patterned sample, in which different areas have distinctive IR spectroscopic fingerprints. The technique provides a wide field of view, fast readout, and negligible heat delivered to the sample, which makes it highly relevant to material and biological applications.