Evidence map›Paper›PMID 40451752›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

Quantitative, Label-Free Mapping of Cell Force Dynamics.

Xinyu Zhou, Ryan Porter, Xiaoyan Zhou, Jiapei Jiang, Brandyn Braswell, Zijian Wan, Pengfei Zhang, Shaopeng Wang

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Xinyu ZhouBiodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287, USA.
Ryan PorterBiodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287, USA.
Xiaoyan ZhouBiodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287, USA.
Jiapei JiangBiodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287, USA.
Brandyn BraswellBiodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287, USA.
Zijian WanBiodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287, USA.
Pengfei ZhangBiodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287, USA.
Shaopeng WangBiodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287, USA.ORCID 0000-0002-2680-0503

Funding

Optical imaging of size, charge, mobility and binding of single proteinsR01GM140193 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, SHAOPENG · 2022 to 2025
$1.2M
National Institute of General Medical Sciences of the National Institutes of Health R01GM140193NIGMS NIH HHS R01 GM140193
6 · The paper itself

Abstract

Label-free plasmonic cell force microscopy is developed to reveal cell exerted force at diffraction-limited spatial resolution. By quantifying cell-substrate interaction dynamics in real-time through plasmonic scattering imaging, the spatial and temporal evolutions of cellular forces are accurately mapped. To demonstrate the capability of the technology, cardiomyocyte force evolution and loading rates are measured with millisecond resolution. Furthermore, cell force responses to nicotinic receptor activation are monitored and observed heterogenic cell force changes among a population of cells, underscoring the versatility and potential impact of this label-free approach.

Indexed as

Microscopy, Atomic ForceAnimalsMyocytes, Cardiacbiosensorscellular forcelabel‐freeplasmonic scattering microscopy

Identifiers

PMID40451752
PMCPMC12334332

What OpenQuestion holds

Textmetadata
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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.