Evidence map›Paper›PMID 40111436›Full record

ArticleNano letters2025

Deep-Penetrating and High-Resolution Continuous-Wave Nonlinear Microscopy Based on Homologous Dual-Emission Upconversion Adaptive Optics.

Jing Yao, Zhipeng Yu, Yufeng Gao, Baoju Wang, Zhiyuan Wang, Tianting Zhong, Binxiong Pan, Huanhao Li, Hui Hui, Wei Zheng and 2 more

Abstract read
In one paragraph

Article in Nano letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Descattering and image restoration with a transformer-based neural network in deep tissue imaging.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. 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

12 authors.

Jing YaoDepartment of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
Zhipeng YuDepartment of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
Yufeng GaoResearch Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Baoju WangCentre for Optical and Electromagnetic Research, Guangdong Engineering Research Centre of Optoelectronic Intelligent Information Perception, Guangzhou 510006, China.ORCID 0000-0002-1879-0173
Zhiyuan WangDepartment of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
Tianting ZhongDepartment of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
Binxiong PanCentre for Optical and Electromagnetic Research, Guangdong Engineering Research Centre of Optoelectronic Intelligent Information Perception, Guangzhou 510006, China.
Huanhao LiDepartment of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
Hui HuiKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0002-6732-4232
Wei ZhengResearch Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Qiuqiang ZhanCentre for Optical and Electromagnetic Research, Guangdong Engineering Research Centre of Optoelectronic Intelligent Information Perception, Guangzhou 510006, China.ORCID 0000-0002-5886-3795
Puxiang LaiDepartment of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China.ORCID 0000-0003-4811-2012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lanthanide-doped upconversion nanoparticles (UCNPs) are emerging as innovative nonlinear probes in biomedical studies, offering the unique capability to simultaneously emit both visible (VIS) and near-infrared (NIR) photons under continuous-wave (CW) NIR excitation. However, deep-tissue high-resolution imaging remains challenging due to the trade-off between VIS emission (higher resolution, limited penetration) and NIR emission (deeper penetration, lower resolution). Here we present a CW nonlinear microscopy based on homologous dual-emission upconversion adaptive optics, leveraging Tm

Indexed as

adaptive opticscontinuous-wave excitationdeep-tissue imagingnonlinear fluorescence microscopyupconversion nanoparticleswavefront shaping

Identifiers

PMID40111436
PMCPMC11969653

What OpenQuestion holds

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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.