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Mid-Infrared Quantum Scanning Microscopy with Visible Light

Josué Ricardo León-Torres, Jorge Fuenzalida, Marta Gilaberte Basset, Sebastian Töpfer, Markus Gräfe

Published Jan 1, 2023• 0 citations
Publisher

Abstract

A label-free quantum scanning imaging system is presented, capable of detecting in the visible regime, while illuminating with undetected light in the Mid-IR region by exploiting the quantum correlations of photon-pairs.
DOI
10.1364/cleo_at.2023.jth2a.40

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Laser scanning microscopy (LSM) is known to be the workhorse for modern life-science, it allows to get new insights into a variety of biological processes. LSM together with illumination in the mid infrared region (Mid-IR) permits to map the chemical composition of samples to a space frame. However, low-light observations in the Mid-IR spectrum are still challenging and a limiting factor for a faster development. A label-free quantum scanning imaging system is presented here, capable of performing the detection in the visible regime, while the illumination is carried out in the Mid-IR region. Our quantum imaging with undetected light implementation aims to retrieve amplitude and phase images of biological samples containing a variety of functional groups that are present in the Mid-IR region
The mid-infrared (MIR) region of the electromagnetic spectrum spans from 2- to 25-μmμ\mathrm{m}μm, serving as a valuable tool for accessing rich chemical information. Functional groups, lipids, and other complex molecules can be analyzed by optical absorption measurements due to their vibrational modes in the MIR spectral region. Over the past few decades, this field has faced challenges due to difficulties in generating MIR light and the limited maturity of detection systems in this spectral range. Quantum imaging with undetected light (QIUL) provides a spectrally tuneable photon-pair source, in which the sample can be illuminated with MIR light while visible (VIS) light is employed for detection and image reconstruction, overcoming the detection limitations and benefiting from the rich chemical information of the MIR spectral region. All previous QIUL implementations are based on spatial correlations, which are never perfect and thus hindered the imaging performance. In this work, we implement a raster-scanning QIUL method that is independent of the strength of the spatial correlations and achieves a spatial resolution beyond the limitations of these correlations.
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