Evidence map›Paper›PMID 40268912›Full record

ArticleNature communications2025

Photon-counting Raman spectroscopy at a MHz spectral rate for biochemical imaging of an entire organism.

Sicheng Li, Haozheng Li, Yiran Li, Qi Zhang, Shuai Wang, Xin Lv, Shuai Yan, Zhiliang Huang, Xingbo Liu, Qipei Zhou and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

18 authors.

Sicheng Li *Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID http://orcid.org/0009-0006-5815-7643
Haozheng Li *Changping Laboratory, Beijing, China.
Yiran Li *Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.
Qi ZhangChangping Laboratory, Beijing, China.
Shuai WangBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID http://orcid.org/0000-0002-5610-6395
Xin LvBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.
Shuai YanChangping Laboratory, Beijing, China.
Zhiliang HuangBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xingbo LiuEarthome Technology Inc., Wuhan, Hubei, China.
Qipei ZhouBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.
Bi ZhangCollege of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID http://orcid.org/0000-0002-3961-5227
Long XiaoState Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, Hubei, 430074, China.ORCID http://orcid.org/0000-0002-5271-8554
Yage ChenBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China.
Zhe WangState Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, Hubei, 430074, China.
Wanjun LuState Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, Hubei, 430074, China. wjlu@cug.edu.cn.
Aiguo ShenSchool of Bioengineering and Health, Wuhan Textile University, Wuhan, Hubei, China. agshen@wtu.edu.cn.ORCID http://orcid.org/0000-0002-2512-3221
Jianfeng LiuCollege of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China. jfliu@mail.hust.edu.cn.ORCID http://orcid.org/0000-0002-0284-8377
Ping WangBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, China. pwang@cpl.ac.cn.ORCID http://orcid.org/0000-0002-5168-6829

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 61421064National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 61675075
6 · The paper itself

Abstract

Raman spectroscopy, which probes fine molecular vibrations, is crucial for interpreting covalent bonds, chemical compositions, and other molecular dynamics in mixtures via their vibrational fingerprint signatures. However, over the past few decades, longstanding barriers have been encountered in both the sensitivity and speed of Raman spectroscopy, limiting its ability to be extended to broader biochemical applications. Here, we introduce a versatile analytical workhorse, the fiber-array Raman engine (termed FIRE). In FIRE, a distinctive fiber array bundle delays the Raman shifts at a scale of 3-960 ns, and a highly dynamic single-channel photon-counting detector achieves spectral measurements that outperform the best commercial confocal Raman microscope. Crucially, FIRE features a major advantage of nonrepetitive single-shot spectra measurement at a MHz repetition rate with a full Raman span (-300-4300 cm

Indexed as

Caenorhabditis elegansSpectrum Analysis, RamanAnimalsPhotons

Identifiers

PMID40268912
PMCPMC12019549

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.