Evidence map›Paper›PMID 39910140›Full record

ArticleScientific reports2025

Multi-object coaxial imaging with an Airy beam array.

Qi Zhou, Yanfeng Bai, Wei Tan, Xiaohui Zhu, Xiaoqian Liang, Jian Li, Xianwei Huang, Xiquan Fu

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Qi ZhouCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
Yanfeng BaiCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
Wei TanCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
Xiaohui ZhuCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
Xiaoqian LiangCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
Jian LiCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
Xianwei HuangCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
Xiquan FuCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China. fuxq@hnu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 531118010757National Natural Science Foundation of China 62301217
6 · The paper itself

Abstract

Multi-object imaging can obtain more comprehensive information to analyze the surrounding environment better and is widely used in many fields. While most multi-object imaging methods require objects not to be coaxial, which must ensure that each object is within the line-of-sight (LOS) of beam progression. In this paper, we present an approach for imaging multiple coaxial objects utilizing an Airy beam array, which can see hidden objects and is conducive to expanding the range of information perception. The feasibility of our scheme is verified through numerical simulations and experiments, and the imaging capability influenced by the axial distance and size of objects is studied. In addition, the minimum imaging distance of the imaging system is also derived. The results will open new ideas for non-line-of-sight (NLOS) imaging and may find applications in queue target imaging.

Identifiers

PMID39910140
PMCPMC11799224

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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.