Evidence map›Paper›PMID 38802359›Full record

ArticleLight, science & applications2024

Quantum dot-enabled infrared hyperspectral imaging with single-pixel detection.

Heyan Meng, Yuan Gao, Xuhong Wang, Xianye Li, Lili Wang, Xian Zhao, Baoqing Sun

Abstract read
In one paragraph

Article in Light, science & applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. High-Speed Hyperspectral Imaging for Near Infrared Fluorescence and Environmental Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Advances in Miniaturized Computational Spectrometers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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

7 authors.

Heyan Meng *School of Information Sciences and Engineering, Shandong University, Qingdao, China.
Yuan Gao *School of Information Sciences and Engineering, Shandong University, Qingdao, China. yuan.gao@sdu.edu.cn.ORCID http://orcid.org/0000-0001-9407-1528
Xuhong WangCenter for Optics Research and Engineering (CORE), Key Laboratory of Laser & Infrared System (Shandong University), Ministry of Education, Shandong University, Qingdao, China.
Xianye LiSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China.
Lili WangCenter for Optics Research and Engineering (CORE), Key Laboratory of Laser & Infrared System (Shandong University), Ministry of Education, Shandong University, Qingdao, China.
Xian ZhaoCenter for Optics Research and Engineering (CORE), Key Laboratory of Laser & Infrared System (Shandong University), Ministry of Education, Shandong University, Qingdao, China.
Baoqing SunSchool of Information Sciences and Engineering, Shandong University, Qingdao, China. baoqing.sun@sdu.edu.cn.ORCID http://orcid.org/0000-0001-6319-0102

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62205180Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2022QF029
6 · The paper itself

Abstract

Near-infrared (NIR) hyperspectral imaging is a powerful technique that enables the capture of three-dimensional (3D) spectra-spatial information within the NIR spectral range, offering a wide array of applications. However, the high cost associated with InGaAs focal plane array (FPA) has impeded the widespread adoption of NIR hyperspectral imaging. Addressing this challenge, in this study, we adopt an alternative approach-single-pixel detection for NIR hyperspectral imaging. Our investigation reveals that single-pixel detection outperforms conventional FPA, delivering a superior signal-to-noise ratio (SNR) for both spectral and imaging reconstruction. To implement this strategy, we leverage self-assembled colloidal quantum dots (CQDs) and a digital micromirror device (DMD) for NIR spectral and spatial information multiplexing, complemented by single-pixel detection for simultaneous spectral and image reconstruction. Our experimental results demonstrate successful NIR hyperspectral imaging with a detection window about 600 nm and an average spectral resolution of 8.6 nm with a pixel resolution of 128 × 128. The resulting spectral and spatial data align well with reference instruments, which validates the effectiveness of our approach. By circumventing the need for expensive and bulky FPA and wavelength selection components, our solution shows promise in advancing affordable and accessible NIR hyperspectral imaging technologies, thereby expanding the range of potential applications.

Identifiers

PMID38802359
PMCPMC11130170

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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.