Evidence map›Paper›PMID 39116137›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

CMOS-compatible reconstructive spectrometers with self-referencing integrated Fabry-Perot resonators.

Chunyu You, Xing Li, Yuhang Hu, Ningge Huang, Yang Wang, Binmin Wu, Guobang Jiang, Jiayuan Huang, Ziyu Zhang, Bingxin Chen and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. 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. Review
  2. Article
  3. Article
  4. Review
  5. 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

20 authors.

Chunyu YouDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Xing LiDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Yuhang HuDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Ningge HuangDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Yang WangDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Binmin WuDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.ORCID 0000-0003-3421-6654
Guobang JiangDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Jiayuan HuangDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Ziyu ZhangDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.ORCID 0000-0003-2495-4880
Bingxin ChenState Key Laboratory of Surface Physics & Institute for Nanoelectronic Devices and Quantum Computing, Department of Physics, Fudan University, Shanghai 200438, People's Republic of China.
Yue WuDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Junhan LiuDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Xiangzhong ChenInternational Institute of Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, People's Republic of China.
Enming SongInternational Institute of Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, People's Republic of China.
Jizhai CuiDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.
Peng ZhouState Key Laboratory of Application-specific Integrated Circuit and System, School of Microelectronics, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai 200438, People's Republic of China.
Zengfeng DiShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, People's Republic of China.
Zhenghua AnState Key Laboratory of Surface Physics & Institute for Nanoelectronic Devices and Quantum Computing, Department of Physics, Fudan University, Shanghai 200438, People's Republic of China.
Gaoshan HuangDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.ORCID 0000-0002-0525-7177
Yongfeng MeiDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200438, People's Republic of China.

Funding

Ministry of Science and Technology of the People's Republic of China (MOST) 2021YFE0191800MOST | National Natural Science Foundation of China (NSFC) 61975035MOST | National Natural Science Foundation of China (NSFC) 62375054Science and Technology Commission of Shanghai Municipality (STCSM) 21142200200Science and Technology Commission of Shanghai Municipality (STCSM) 22ZR1405000
6 · The paper itself

Abstract

Miniaturized reconstructive spectrometers play a pivotal role in on-chip and portable devices, offering high-resolution spectral measurement through precalibrated spectral responses and AI-driven reconstruction. However, two key challenges persist for practical applications: artificial intervention in algorithm parameters and compatibility with complementary metal-oxide-semiconductor (CMOS) manufacturing. We present a cutting-edge miniaturized reconstructive spectrometer that incorporates a self-adaptive algorithm referenced with Fabry-Perot resonators, delivering precise spectral tests across the visible range. The spectrometers are fabricated with CMOS technology at the wafer scale, achieving a resolution of ~2.5 nm, an average wavelength deviation of ~0.27 nm, and a resolution-to-bandwidth ratio of ~0.46%. Our approach provides a path toward versatile and robust reconstructive miniaturized spectrometers and facilitates their commercialization.

Indexed as

CMOS-compatible integrationFabry–Perot resonatorsminiaturized spectrometerssilicon nanomembrane

Identifiers

PMID39116137
PMCPMC11331063

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.