Evidence map›Paper›PMID 41690947›Full record

ArticleNature communications2026

Large-array sub-millimeter precision coherent flash three-dimensional imaging.

Bin Wang, Junze Tian, Jianwei Wang, Shukang Xu, Shuangxiang Zhao, Jianhao Duan, Weifeng Zhang, Yangyang Liu, Tao Zeng, Erke Mao

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

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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

10 authors.

Bin Wang *Radar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Junze Tian *Radar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Jianwei WangAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Shukang XuRadar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Shuangxiang ZhaoRadar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Jianhao DuanRadar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Weifeng ZhangRadar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology, Beijing, China. weifeng.zhang@bit.edu.cn.ORCID http://orcid.org/0000-0001-6454-1314
Yangyang LiuAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. liuyy@aircas.ac.cn.ORCID http://orcid.org/0009-0001-2778-0372
Tao ZengRadar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology, Beijing, China. zengtao@bit.edu.cn.
Erke MaoRadar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology, Beijing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62227901National Natural Science Foundation of China (National Science Foundation of China) U22A2018
6 · The paper itself

Abstract

High-precision three-dimensional (3D) imaging is essential for accurately perceiving environments, providing critical depth and spatial awareness. Among various approaches, solid-state LiDAR systems have garnered significant attention. However, depth precision, detection range and pixel scalability remain key challenges for their widespread adoption. Here, we report a large-array coherent flash 3D imaging system that achieves a sub-millimeter range precision through stepped-frequency modulation and coherent detection with CCD sensors. A coherent image sensor is developed, and a prototype system is demonstrated, providing 3D imaging with a depth precision as high as 0.47 mm over a range of 30.50 m at an optical power of 15.86 mW and a maximum frame rate of 10 Hz. Our system features high range precision, exceptional sensitivity across long distances, and robust pixel scalability by directly leveraging well-established CCD sensors. This advancement introduces a scalable approach to long-range high-precision 3D imaging, with substantial implications for deformation monitoring, virtual reality, and cultural heritage preservation.

Identifiers

PMID41690947
PMCPMC13018286

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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.