Evidence map›Paper›PMID 41974661›Full record

ArticleLight, science & applications2026

Ultra-wide-field, deep, adaptive two-photon microscopy for multi-scale neuronal imaging.

Mengke Yang, Zhen-Qiao Zhou, Song Lang, Hanqing Zheng, Shuai Chen, Tong Li, Eline Stas, Jess Yu, Long Zhang, Zhi Zhang and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Light, science & applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Non-inertial scan angle multiplier for expanded fields-of-view.bioRxiv : the preprint server for biology · 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

22 authors.

Mengke YangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Zhen-Qiao ZhouSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Song LangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Hanqing ZhengSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Shuai ChenSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Tong LiState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Eline StasDepartment of Bioengineering and Centre for Neurotechnology, Imperial College London, London, UK.
Jess YuDepartment of Bioengineering and Centre for Neurotechnology, Imperial College London, London, UK.
Long ZhangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Zhi ZhangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Volkan UzungilDepartment of Bioengineering and Centre for Neurotechnology, Imperial College London, London, UK.
Qinying LiuSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Yu HuangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Jing LyuSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.ORCID http://orcid.org/0000-0002-2261-317X
Yimei LiDepartment of Bioengineering and Centre for Neurotechnology, Imperial College London, London, UK.
Hongbo JiaSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.ORCID http://orcid.org/0000-0003-1585-2161
Min LiSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.ORCID http://orcid.org/0000-0001-6192-5961
Xiaojing LiDepartment of Neurology, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China.
Jingwei LiDepartment of Neurology, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China.
Yuguo TangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China. tangyg@sibet.ac.cn.
Yan GongSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China. gongy@sibet.ac.cn.
Simon R SchultzDepartment of Bioengineering and Centre for Neurotechnology, Imperial College London, London, UK. s.schultz@imperial.ac.uk.ORCID http://orcid.org/0000-0002-6794-5813

Funding

National Natural Science Foundation of China (National Science Foundation of China) 61705251RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/W024020/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/Y020316/1Science and Technology Support Program of Jiangsu Province (Jiangsu Province Science and Technology Support Program) BM2022010Youth Innovation Promotion Association of the Chinese Academy of Sciences (Youth Innovation Promotion Association CAS) 2022328
6 · The paper itself

Abstract

Observing the activity patterns of large neural populations throughout the brain is essential for understanding brain function. However, capturing neural interactions across widely distributed brain regions from both superficial and deep cortical layers remains challenging with existing microscopy technologies. Here, we introduce a state-of-the-art two-photon microscopy system, ULTRA, capable of single-cell resolution imaging across an ultra-large field of view (FOV) exceeding 50 mm², enabling deep and wide field in vivo imaging. To demonstrate its capabilities, we conducted a series of experiments under multiple imaging conditions, successfully visualizing brain structures and neuronal activities spanning a spatial range of over 7 mm from superficial layers to depths of up to 900 μm, while covering a volume of 45.24 mm

Identifiers

PMID41974661
PMCPMC13077073

What OpenQuestion holds

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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.