Evidence map›Paper›PMID 40686303›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Meta-Dispersive 3D Chromatic Confocal Measurement.

Jiajun Wu, Jin Yao, An Ren, Zhizheng Ju, Rong Lin, Zhihui Wang, Wule Zhu, Bingfeng Ju, Din Ping Tsai

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Meta-Dispersive 3D Chromatic Confocal Measurement.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

9 authors.

Jiajun WuState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China.
Jin YaoDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
An RenState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China.
Zhizheng JuState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China.
Rong LinDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Zhihui WangDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Wule ZhuState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China.
Bingfeng JuState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China.
Din Ping TsaiDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong, 999077, China.ORCID https://orcid.org/0000-0002-0883-9906

Funding

City University of Hong Kong 9380131Fundamental Research Funds for the Central UniversitiesKey Program of National Natural Science Foundation of China 52035013National Major Research Instrument Development Project of the National Natural Science Foundation of China 52327807National Natural Science Foundation of China 52175521National Natural Science Foundation of China 523B2053National Natural Science Foundation of China 62375232University Grants Committee / Research Grants Council of the Hong Kong Special Administrative Region, China AoE/P-502/20University Grants Committee / Research Grants Council of the Hong Kong Special Administrative Region, China C5031-22GUniversity Grants Committee / Research Grants Council of the Hong Kong Special Administrative Region, China C5078-24GUniversity Grants Committee / Research Grants Council of the Hong Kong Special Administrative Region, China CityU11300224University Grants Committee / Research Grants Council of the Hong Kong Special Administrative Region, China CityU11304925University Grants Committee / Research Grants Council of the Hong Kong Special Administrative Region, China CityU11305125University Grants Committee / Research Grants Council of the Hong Kong Special Administrative Region, China CityU11305223
6 · The paper itself

Abstract

3D reconstruction can perceive the detailed structures of real-world objects. Integrating metasurfaces with stereo vision or structured-light projection enables compact and efficient 3D reconstruction systems, beneficial for next-generation sensing, augmented reality, and biomedical applications. Nevertheless, the limitations inherent in these visual measurement methods pose a significant challenge to achieving higher resolution. Here, a dispersive metalens (DML) combined with the chromatic confocal method is proposed to achieve high-precision 3D measurement. With appropriate engineered dispersion, the linearity of the dispersion is well maintained, alongside diffraction-limited focusing performance. As a proof-of-concept, experiments on both longitudinal and transversal measurements are conducted. Following the calibration of the DML, axial accuracy of ±4 µm and a subwavelength axial resolution of 0.325 µm is achieved. The successful reconstruction of a fabricated 3D USAF-1951 resolution test chart further corroborates the 3D measurement capability, demonstrating a lateral resolution exceeding 4.38 µm. It is envisioned that the proposed method will pave the way for future applications in areas such as microstructure characterization, industrial inspection, and on-chip 3D optical metrology.

Indexed as

3D measurementchromatic confocaldispersion engineeringdispersive metalensmetasurfaces

Identifiers

PMID40686303
PMCPMC12533388

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.