Hyper-spectral Imaging with Up-Converted Mid-Infrared Single-Photons
- URL: http://arxiv.org/abs/2508.19970v1
- Date: Wed, 27 Aug 2025 15:25:36 GMT
- Title: Hyper-spectral Imaging with Up-Converted Mid-Infrared Single-Photons
- Authors: Yijian Meng, Asbjørn Arvad Jørgensen, Andreas Næsby Rasmussen, Lasse Høgstedt, Søren M. M. Friis, Mikael Lassen,
- Abstract summary: We present a cost-effective, visible-wavelength silicon single-photon avalanche diodes (Si-SPADs) hyperspectral imaging platform.<n>Time-correlated photon pairs generated via SPDC suppress classical intensity noise, enabling near shot-noise-limited hyperspectral imaging.<n>This platform paves the way toward scalable, quantum-enabled MIR imaging for applications in molecular diagnostics, environmental sensing, and biomedical research.
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- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Hyperspectral imaging in the mid-infrared (MIR) spectral range provides unique molecular specificity by probing fundamental vibrational modes of molecular bonds, making it highly valuable for biomedical and biochemical applications. However, conventional MIR imaging techniques often rely on high-intensity illumination that can induce photodamage in sensitive biological tissues. Single-photon MIR imaging offers a label-free, non-invasive alternative, yet its adoption is hindered by the lack of efficient, room-temperature MIR single-photon detectors. We present a single-photon hyperspectral imaging platform that combines cavity-enhanced spontaneous parametric down-conversion (SPDC) with nonlinear frequency up-conversion. This approach enables MIR spectral imaging using cost-effective, visible-wavelength silicon single-photon avalanche diodes (Si-SPADs), supporting room-temperature, low-noise, and high-efficiency operation. Time-correlated photon pairs generated via SPDC suppress classical intensity noise, enabling near shot-noise-limited hyperspectral imaging. We demonstrate chemically specific single-photon imaging across the \SIrange{2.9}{3.6}{\micro\meter} range on biological (egg yolk, yeast) and polymeric (polystyrene, polyethylene) samples. The system delivers high-contrast, label-free imaging at ultralow photon flux, overcoming key limitations of current MIR technologies. This platform paves the way toward scalable, quantum-enabled MIR imaging for applications in molecular diagnostics, environmental sensing, and biomedical research.
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