Evidence map›Paper›PMID 40137626›Full record

ArticleNanomaterials (Basel, Switzerland)2025

Compact Near-Infrared Imaging Device Based on a Large-Aperture All-Si Metalens.

Zhixi Li, Wei Liu, Yubing Zhang, Feng Tang, Liming Yang, Xin Ye

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 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. 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.

Zhixi LiLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Wei LiuLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Yubing ZhangLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Feng TangLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Liming YangLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.
Xin YeLaser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China.ORCID 0000-0002-5665-0622

Funding

NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA 12304352
6 · The paper itself

Abstract

Near-infrared imaging devices are extensively used in medical diagnosis, night vision, and security monitoring. However, existing traditional imaging devices rely on a bunch of refracting lenses, resulting in large, bulky imaging systems that restrict their broader utility. The emergence of flat meta-optics offers a potential solution to these limitations, but existing research on compact integrated devices based on near-infrared meta-optics is insufficient. In this study, we propose an integrated NIR imaging camera that utilizes large-size metalens with a silicon nanostructure with high transmission efficiency. Through the detection of target and animal and plant tissue samples, the ability to capture biological structures and their imaging performance was verified. Through further integration of the NIR imaging device, the device significantly reduces the size and weight of the system and optimizes the aperture to achieve excellent image brightness and contrast. Additionally, venous imaging of human skin shows the potential of the device for biomedical applications. This research has an important role in promoting the miniaturization and lightweight of near-infrared optical imaging devices, which is expected to be applied to medical testing and night vision imaging.

Indexed as

dielectric metasurfacelarge aperturemetalensnear-infrared device

Identifiers

PMID40137626
PMCPMC11945997

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.