Evidence map›Paper›PMID 40010021›Full record

ArticleBiosensors & bioelectronics2025

Label-free optical mapping for large-area biomechanical dynamics of multicellular systems.

Yen-Ju Lin, Xing Haw Marvin Tan, Yijie Wang, Pei-Shan Chung, Xiang Zhang, Ting-Hsiang Wu, Tung-Yu Wu, Arjun Deb, Pei-Yu Chiou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yen-Ju LinElectrical and Computer Engineering Department, University of California, 420 Westwood Plaza, Los Angeles, CA, 90095, United States.
Xing Haw Marvin TanMechanical and Aerospace Engineering Department, University of California, 420 Westwood Plaza, Los Angeles, CA, 90095, United States; Bioengineering Department, University of California, 420 Westwood Plaza, Los Angeles, CA, 90095, United States; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A∗STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Republic of Singapore.
Yijie WangDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, 675 Charles E Young Dr S, Los Angeles, CA, 90095, United States.
Pei-Shan ChungBioengineering Department, University of California, 420 Westwood Plaza, Los Angeles, CA, 90095, United States.
Xiang ZhangMechanical and Aerospace Engineering Department, University of California, 420 Westwood Plaza, Los Angeles, CA, 90095, United States.
Ting-Hsiang WuMET Biotechnology LLC, 570 Westwood Plaza, Los Angeles, CA, 90095, United States.
Tung-Yu WuCyteSi LLC, 1600 Adams Drive, Suite 221, Menlo Park, CA, 94025, United States.
Arjun DebDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, 675 Charles E Young Dr S, Los Angeles, CA, 90095, United States.
Pei-Yu ChiouMechanical and Aerospace Engineering Department, University of California, 420 Westwood Plaza, Los Angeles, CA, 90095, United States; Bioengineering Department, University of California, 420 Westwood Plaza, Los Angeles, CA, 90095, United States. Electronic address: peiyu@g.ucla.edu.

Funding

SPOTs: Optical Technologies for Instantly Quantifying Multicellular Response ProfilesR01GM127985 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHIOU, PEI-YU, TEITELL, MICHAEL A · 2020 to 2023
$1.7M
NIGMS NIH HHS R01 GM127985
6 · The paper itself

Abstract

Mapping cellular activities over large areas is crucial for understanding the collective behaviors of multicellular systems. Biomechanical properties, such as cellular traction forces, serve as critical regulators of physiological states and molecular configurations. However, existing technologies for mapping large-area biomechanical dynamics, which arise from changes in cellular traction forces, are limited by their small field of view and scanning-based nature. To address these limitations, we propose a novel platform that utilizes a vast number of optical diffractive elements to profile large-area biomechanical dynamics. This platform achieves a field of view of 10.6 mm × 10.6 mm, a three-order-of-magnitude improvement over traditional traction force microscopy. Transient mechanical waves generated by monolayer neonatal rat ventricular myocytes were captured with high spatiotemporal resolution (130 fps and 20 μm for temporal and spatial resolution, respectively). Furthermore, its label-free nature allows for long-term observations extended to a week, with minimal disruption to cellular functions. Finally, simultaneous measurements of calcium ion concentrations and biomechanical dynamics are demonstrated.

Indexed as

Biosensing TechniquesMyocytes, CardiacAnimalsBiomechanical PhenomenaCalciumCells, CulturedEquipment DesignHeart VentriclesRatsCalcium

Identifiers

PMID40010021
PMCPMC12335872

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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.