Evidence map›Paper›PMID 41388078›Full record

ArticleScientific reports2025

Hyper-spectral imaging with up-converted mid-infrared single-photons.

Yijian Meng, Asbjørn Arvad Jørgensen, Andreas Næsby Rasmussen, Lasse Høgstedt, Søren M M Friis, Mikael Lassen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Quantum Light Emission from GaAsACS applied materials & interfaces · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yijian MengDansk Fundamental Metrologi A/S, Kogle Alle 5, 2970, Hørsholm, Denmark.
Asbjørn Arvad JørgensenDansk Fundamental Metrologi A/S, Kogle Alle 5, 2970, Hørsholm, Denmark.
Andreas Næsby RasmussenDansk Fundamental Metrologi A/S, Kogle Alle 5, 2970, Hørsholm, Denmark.
Lasse HøgstedtNLIR Aps, Hirsemarken 1, 3520, Farum, Denmark.
Søren M M FriisNLIR Aps, Hirsemarken 1, 3520, Farum, Denmark.
Mikael LassenDansk Fundamental Metrologi A/S, Kogle Alle 5, 2970, Hørsholm, Denmark. ml@dfm.dk.

Funding

European Partnership on Metrology (21GRD07 "PlasticTrace"Innovation Fund Denmark 1116-00003B
6 · The paper itself

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 broader 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. By leveraging time gating and intensity correlations of photon pairs generated via SPDC, we can effectively suppress classical background noise and enhance the signal-to-noise ratio, approaching the shot-noise limit. We demonstrate chemically specific single-photon imaging across the 2.9-3.6 [Formula: see text]m range on biological (egg yolk, yeast) and polymeric (polystyrene, polyethylene) samples. This platform paves the way toward scalable, quantum-enabled MIR imaging for applications in molecular diagnostics, environmental sensing, and biomedical research.

Identifiers

PMID41388078
PMCPMC12820093

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.