Evidence map›Paper›PMID 42474063›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

From Displacement to Angle: Diamond-Based 3D Rotation Sensing for High-Precision Cellular Force Measurement.

Linjie Ma, Bicong Wang, Tai Nam Yip, Jiahua Zhang, Yicheng Wang, Luyao Zhang, Yong Hou, Yuan Lin, Zhiqin Chu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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

9 authors.

Linjie MaDepartment of Electrical and Computer Engineering, the University of Hong Kong, Hong Kong SAR, Hong Kong.ORCID https://orcid.org/0009-0007-4079-5249
Bicong WangDepartment of Mechanical Engineering, the University of Hong Kong, Hong Kong SAR, Hong Kong.ORCID https://orcid.org/0000-0001-6585-526X
Tai Nam YipDepartment of Electrical and Computer Engineering, the University of Hong Kong, Hong Kong SAR, Hong Kong.ORCID https://orcid.org/0009-0007-0792-3181
Jiahua ZhangDepartment of Electrical and Computer Engineering, the University of Hong Kong, Hong Kong SAR, Hong Kong.
Yicheng WangDepartment of Electrical and Computer Engineering, the University of Hong Kong, Hong Kong SAR, Hong Kong.
Luyao ZhangDepartment of Electrical and Computer Engineering, the University of Hong Kong, Hong Kong SAR, Hong Kong.ORCID https://orcid.org/0009-0004-7390-2221
Yong HouDepartment of Electrical and Computer Engineering, the University of Hong Kong, Hong Kong SAR, Hong Kong.ORCID https://orcid.org/0000-0002-3274-5248
Yuan LinDepartment of Mechanical Engineering, the University of Hong Kong, Hong Kong SAR, Hong Kong.ORCID https://orcid.org/0000-0002-3882-174X
Zhiqin ChuDepartment of Electrical and Computer Engineering, the University of Hong Kong, Hong Kong SAR, Hong Kong.ORCID https://orcid.org/0000-0003-4671-5434

Funding

HKU seed fundNational Natural Science Foundation of China 12272332National Natural Science Foundation of China 12572194National Natural Science Foundation of China (NSFC) and the Research Grants Council (RGC) of the Hong Kong Joint Research Scheme N_HKU750/23Research Grants Council of Hong Kong under the General Research Fund 17210520Shenzhen-Hong Kong-Macau Technology Research Programme (Category C project) SGDX20230821091501008
6 · The paper itself

Abstract

Cellular traction forces are conventionally measured by tracking the displacement of beads or micropillars and converting them to force via mechanical models. Although widely used, these displacement-based methods primarily report translational motion and, when based on the linear Euler-Bernoulli beam assumption, can suffer from geometric-nonlinearity errors under non-negligible deformation. Here we introduce an alternative approach: quantifying force by directly measuring pillar rotation angle rather than displacement, using fluorescent nanodiamonds (FNDs) as embedded 3D orientation markers. Specifically, by integrating optically detected magnetic resonance (ODMR) with laser polarization modulation (LPM), we determine the complete three‑dimensional orientation of FNDs attached to polydimethylsiloxane (PDMS) micropillars with sub‑degree precision (∼0.5°). This angle‑based measurement framework enables force reconstruction from pillar rotation and provides a robust analytical readout for stocky beams and large deformations. Finite‑element simulations demonstrate that our method reduces force estimation errors by at least 10% compared to linear displacement‑based approaches. Moreover, we successfully capture three-dimensional pillar deformations, including bending and in-plane rotation, that are inaccessible to the conventional displacement‑only method. Taken together, our work establishes diamond‑based angular force microscopy as a high‑precision platform for mechanobiology.

Indexed as

angle sensingcellular forcesdiamond‐based sensingmechanobiologytraction force microscopy

Identifiers

PMID42474063
PMCPMC13383150

What OpenQuestion holds

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Registered trials

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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.