Local Stiffness Measurement of Hepatic Steatosis Model Liver Organoid by Fluorescence Imaging-Assisted Probe Indentation DOI
Dae‐Seop Shin, Myung Jin Son,

Myung‐Ae Bae

et al.

ACS Biomaterials Science & Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Mechanical stiffness of liver organoid is a key indicator for the progress hepatic steatosis. Probe indentation noninvasive methodology to measure Young's modulus (YM); however, inhomogeneous nature induces measurement uncertainty requiring large number indentations covering wide scanning area. Here, we demonstrate that lipid-stained fluorescence imaging-assisted probe significantly reduces measurements by specifying highly lipid-induced Lipid-stained steatosis model shows broad distributions are spatially correlated with decreased YM on lipid-filled region bright compared measured blank dark fluorescence. The viability remained robust even after exposure an ambient condition up 6 h, showing can be methods measurements.

Language: Английский

Viscoelastic Multiscale Mechanical Indexes for Assessing Liver Fibrosis and Treatment Outcomes DOI Creative Commons
Zhuo Chang, Liqiang Zhang,

Jiu-Tao Hang

et al.

Nano Letters, Journal Year: 2023, Volume and Issue: 23(20), P. 9618 - 9625

Published: Oct. 4, 2023

Understanding liver tissue mechanics, particularly in the context of pathologies like fibrosis, cirrhosis, and carcinoma, holds pivotal significance for assessing disease severity prognosis. Although static mechanical properties livers have been gradually studied, intricacies their dynamic mechanics remain enigmatic. Here, we characterize creep responses healthy, fibrotic, mesenchymal stem cells (MSCs)-treated fibrotic lives. Strikingly, unearth a ubiquitous two-stage power-law rheology across different time scales with exponents distribution profiles highly correlated to status. Moreover, our self-similar hierarchical theory effectively captures delicate changes dynamical livers. Notably, viscoelastic multiscale indexes (i.e., elastic stiffnesses hierarchies) characteristics prominently vary fibrosis MSCs therapy. This study unveils underscores potential proposed criteria evolution

Language: Английский

Citations

21

Emergence, Pattern, and Frequency of Spontaneous Waves in Spreading Epithelial Monolayers DOI
Xu Yin, Yongquan Liu, Liyuan Zhang

et al.

Nano Letters, Journal Year: 2024, Volume and Issue: 24(12), P. 3631 - 3637

Published: March 11, 2024

A striking phenomenon of collective cell motion is that they can exhibit a spontaneously emerging wave during epithelia expansions. However, the fundamental mechanism, governing emergence and its crucial characteristics (e.g., eigenfrequency pattern), remains an enigma. By introducing mechanochemical feedback loop, we develop highly efficient discrete vertex model to investigate spatiotemporal evolution spreading epithelia. We find both numerically analytically expanding monolayers display power-law dependence frequency on local heterogeneities (i.e., density) with scaling exponent −1/2. Moreover, our study demonstrates quantitative capability proposed in capturing distinct X-, W-, V-mode patterns. unveil phase transition between these modes governed by distribution active self-propulsion forces. Our work provides avenue for rigorous investigations into pattern formation groups.

Language: Английский

Citations

9

Viscoelastic phenotyping of red blood cells DOI
Marta Gironella-Torrent, Giulia Bergamaschi, Raya Sorkin

et al.

Biophysical Journal, Journal Year: 2024, Volume and Issue: 123(7), P. 770 - 781

Published: Jan. 23, 2024

Language: Английский

Citations

8

Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics‐Informed Neural Networks DOI
Wensi Wu,

Mitchell Daneker,

Kevin T. Turner

et al.

Small Methods, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 1, 2024

Abstract The heterogeneous micromechanical properties of biological tissues have profound implications across diverse medical and engineering domains. However, identifying full‐field elastic soft materials using traditional approaches is fundamentally challenging due to difficulties in estimating local stress fields. Recently, there has been a growing interest data‐driven models for learning mechanical responses, such as displacement strain, from experimental or synthetic data. research studies on inferring materials, more problem, are scarce, particularly large deformation, hyperelastic materials. Here, physics‐informed machine approach proposed identify the elasticity map nonlinear, deformation This study reports prediction accuracies computational efficiency neural networks (PINNs) maps with structural complexity that closely resemble real tissue microstructure, brain, tricuspid valve, breast cancer tissues. Further, improved architecture applied three constitutive models: Neo‐Hookean, Mooney Rivlin, Gent. network consistently produces accurate estimations maps, even when up 10% noise present training

Language: Английский

Citations

7

Nanotechnology meets medicine: applications of atomic force microscopy in disease DOI Creative Commons

Zita Matias,

Catarina Lopes, N. C. Santos

et al.

Biophysical Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Abstract Atomic force microscopy (AFM) is a scanning imaging technique able to work at the nanoscale. It uses cantilever with tip move across samples’ surface and laser measure bending, enabling assessment of interaction forces between sample creating three-dimensional visual representation its surface. AFM has been gaining notoriety in biomedical field due high-resolution images, as well ability inter- intramolecular involved pathophysiology many diseases. Here, we highlight some current applications field. First, brief overview presented. This theoretical framework then used link novel translational applications, handling broad clinical questions different areas, such infectious diseases, cardiovascular cancer, neurodegenerative Morphological nanomechanical characteristics cell height, volume, stiffness, adhesion may serve parameters tailor patient care through nanodiagnostics, individualized risk stratification, therapeutic monitoring. Despite an increasing development research cells, showing unique capabilities terms resolution, speed, accuracy, there notable need for applied settings. More provide new grounds valuable collaboration researchers healthcare professionals.

Language: Английский

Citations

1

Concurrently Probing the Mechanical and Electrical Characteristics of Living Cells via an Integrated Microdevice DOI
Johnson Q. Cui, Ye Tian, Zhihao Wu

et al.

Nano Letters, Journal Year: 2024, Volume and Issue: 24(45), P. 14522 - 14530

Published: Nov. 4, 2024

The mechanical and electrical properties of cells serve as critical indicators their physiological pathological state. Currently, distinct setups are required to measure the responses cells. In addition, most existing methods such optical trapping (OT) atomic force microscopy (AFM) labor-intensive, expensive, low-throughput. Here, we developed a microdevice that integrates automated cell trapping, deformation, electric impedance spectroscopy overcome these limitations. Our device enables parallel aspiration tens trapped in highly scalable manner by simply adjusting applied pressures, allowing for rapid probing dynamic viscoelastic Furthermore, embedded microelectrodes enable concurrent investigations Through testing on different types, our platform demonstrated superior capabilities comprehensive characterization phenotyping, highlighting its great potential versatile tool single analysis, drug screening, disease detection.

Language: Английский

Citations

4

Single-cell analysis of innate immune cell mechanics: an application to cancer immunology DOI Creative Commons

Tom M.J. Evers,

Antoinette van Weverwijk, Karin E. de Visser

et al.

Materials Advances, Journal Year: 2024, Volume and Issue: 5(12), P. 5025 - 5035

Published: Jan. 1, 2024

Alterations in the tumor microenvironment not only modulate cancer cell progression and invasiveness but also affect viscoelastic properties of immune cells therein.

Language: Английский

Citations

3

Scaling-law variance and invariance of cell plasticity DOI

Jiu-Tao Hang,

Huan Wang, Guang‐Kui Xu

et al.

Journal of the Mechanics and Physics of Solids, Journal Year: 2024, Volume and Issue: 187, P. 105642 - 105642

Published: April 16, 2024

Language: Английский

Citations

3

Measuring the viscoelastic relaxation function of cells with a time-dependent interpretation of the Hertz-Sneddon indentation model DOI Creative Commons

Isis V.M. Lima,

Antônio V. S. Silva, Felipe Domingos de Sousa

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(10), P. e30623 - e30623

Published: May 1, 2024

The Hertz-Sneddon elastic indentation model is widely adopted in the biomechanical investigation of living cells and other soft materials using atomic force microscopy despite explicit viscoelastic nature these materials. In this work, we demonstrate that an exact analytical for power-law materials, can be interpreted as a time-dependent Hertz-Sneddon-like model. Characterizing fibroblasts (L929) osteoblasts (OFCOLII) demonstrates model's accuracy. Our results show difference between Young's modulus EY obtained by fitting curves with effective derived from less than 3%, even when are probed at large forces where nonlinear deformation effects become significant. We also propose measurement protocol involves probing samples different speeds forces, enabling construction average relaxation function conveniently model.Graphical abstract

Language: Английский

Citations

3

Viscoelastic Mechanics of Living Cells DOI
Hui Zhou,

R. S. Liu,

Yizhou Xu

et al.

Physics of Life Reviews, Journal Year: 2025, Volume and Issue: 53, P. 91 - 116

Published: March 1, 2025

Language: Английский

Citations

0