Evidence map›Paper›PMID 36841860›Full record

ArticleNature communications2023

Mid-infrared single-pixel imaging at the single-photon level.

Yinqi Wang, Kun Huang, Jianan Fang, Ming Yan, E Wu, Heping Zeng

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Wavefront Line-Scan Imaging Via a Single-Pixel Detector.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
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  13. Mid-infrared computational temporal ghost imaging.Light, science & applications · 2024
    Article
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  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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.

Yinqi WangState Key Laboratory of Precision Spectroscopy, East China Normal University, 200062, Shanghai, China.
Kun HuangState Key Laboratory of Precision Spectroscopy, East China Normal University, 200062, Shanghai, China. khuang@lps.ecnu.edu.cn.ORCID http://orcid.org/0000-0002-1899-7924
Jianan FangState Key Laboratory of Precision Spectroscopy, East China Normal University, 200062, Shanghai, China.
Ming YanState Key Laboratory of Precision Spectroscopy, East China Normal University, 200062, Shanghai, China.
E WuState Key Laboratory of Precision Spectroscopy, East China Normal University, 200062, Shanghai, China.
Heping ZengState Key Laboratory of Precision Spectroscopy, East China Normal University, 200062, Shanghai, China. hpzeng@phy.ecnu.edu.cn.ORCID http://orcid.org/0000-0002-2357-4440

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62175064, 11621404, 11727812
6 · The paper itself

Abstract

Single-pixel cameras have recently emerged as promising alternatives to multi-pixel sensors due to reduced costs and superior durability, which are particularly attractive for mid-infrared (MIR) imaging pertinent to applications including industry inspection and biomedical diagnosis. To date, MIR single-pixel photon-sparse imaging has yet been realized, which urgently calls for high-sensitivity optical detectors and high-fidelity spatial modulators. Here, we demonstrate a MIR single-photon computational imaging with a single-element silicon detector. The underlying methodology relies on nonlinear structured detection, where encoded time-varying pump patterns are optically imprinted onto a MIR object image through sum-frequency generation. Simultaneously, the MIR radiation is spectrally translated into the visible region, thus permitting infrared single-photon upconversion detection. Then, the use of advanced algorithms of compressed sensing and deep learning allows us to reconstruct MIR images under sub-Nyquist sampling and photon-starving illumination. The presented paradigm of single-pixel upconversion imaging is featured with single-pixel simplicity, single-photon sensitivity, and room-temperature operation, which would establish a new path for sensitive imaging at longer infrared wavelengths or terahertz frequencies, where high-sensitivity photon counters and high-fidelity spatial modulators are typically hard to access.

Identifiers

PMID36841860
PMCPMC9968282

What OpenQuestion holds

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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.