Evidence map›Paper›PMID 41970580›Full record

ArticleBiomedical optics express2026

Enhancement of accuracy and precision of cell Young's modulus measurement: FEM optimization and algebraic compensation.

Lingyao Yu, Xuzheng Yang, Sen Geng, Shu Li, Xinqiang Wang, Song Ye, Jifu Mao, Jun Yin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2026. 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.

Lingyao YuGuangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.ORCID https://orcid.org/0000-0002-5742-6497
Xuzheng YangGuangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.ORCID https://orcid.org/0009-0009-8814-2460
Sen GengGuangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Shu LiGuangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Xinqiang WangGuangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Song YeGuangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Jifu MaoCollege of Textiles, Donghua University, Shanghai 201620, China.
Jun YinGuangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study addresses the inaccuracy of the Hertz model in measuring single-cell Young's modulus via probe-based indentation. We propose two complementary correction strategies: finite element model optimization and an algebraic compensation algorithm. Both methods significantly enhance measurement accuracy and consistency within the biologically relevant 400-1200 Pa range (typical for adherent cancer cells). The compensation algorithm achieves a relative error below 5.2%. This work establishes a robust framework for cellular mechanical characterization, paving the way for incorporating greater biological complexity in future models.

Identifiers

PMID41970580
PMCPMC13064601

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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.