Evidence map›Paper›PMID 41327235›Full record

ArticleJournal of nanobiotechnology2025

Meta-surface plasmon resonance microscopy for sensitive, high-throughput, and long-term label-free analysis of cell adhesion dynamics.

Mingqian Chen, Wen Li, Taoyu Hu, Jiaxiang Chang, Youqian Chen, Yihui Yang, Gang Logan Liu, Wenjun Hu

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Mingqian Chen *Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430079, PR China.ORCID http://orcid.org/0009-0000-7273-938X
Wen Li *Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430079, PR China.ORCID http://orcid.org/0009-0008-3893-1114
Taoyu HuDepartment of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430079, PR China.
Jiaxiang ChangDepartment of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430079, PR China.
Youqian ChenDepartment of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430079, PR China.
Yihui YangDepartment of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430079, PR China.
Gang Logan LiuDepartment of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430079, PR China.
Wenjun HuDepartment of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430079, PR China. hu_wenjun@hust.edu.cn.ORCID http://orcid.org/0000-0001-8563-8844

Funding

Fundamental Research Funds for the Central Universities 2020kfyXJJS113National Natural Science Foundation of China 82072735the State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases 2024ZZ10007
6 · The paper itself

Abstract

Quantitative, label-free monitoring of dynamic cell adhesion remains challenging. Meta-Surface Plasmon Resonance Microscopy (Meta-SPRM) is a novel platform integrating bright-field microscopy with engineered Meta-SPR nanocup arrays. This system simultaneously acquires bright-field images and Meta-SPRM signals, enabling their computational separation and co-analysis to provide multifaceted insights into cell-substrate interactions. Meta-SPRM offers sensitive, high-throughput, and long-term label-free quantification of cell adhesion strength and distribution. It captures dynamic processes like cell spreading and migration at micrometer lateral resolution. Notably, Meta-SPRM signals spatially correlate with key focal adhesion proteins (Integrin-β1, Vinculin), and an intrinsic intracellular signal polarity correlates with cell migration direction. Meta-SPRM provides a powerful, label-free tool for dynamic cell adhesion studies, overcoming limitations of traditional methods.

Indexed as

Cell AdhesionMicroscopySurface Plasmon ResonanceAnimalsCell MovementFocal AdhesionsHigh-Throughput Screening AssaysHumansVinculinVinculincell adhesionlabel-free microscopylong-term monitoringMeta-Surface Plasmon ResonanceNanoplasmonic

Identifiers

PMID41327235
PMCPMC12670785

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.