Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Atomic Force Microscopy01:08

Atomic Force Microscopy

Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Precision bioprinting-based extrusion of tumour spheroids on pre-matured<i>in vitro</i>tissue models on demand.

Biofabrication·2026
Same author

Exploring the depth profile of low-pressure plasma-treated PDMS by VUV spectroscopic ellipsometry.

The Journal of chemical physics·2026
Same author

Droplet Microfluidics-Assisted Fabrication of Magnetite Nanoparticle Hybrid Microgels for Facile Protein Immobilization.

Chembiochem : a European journal of chemical biology·2026
Same author

Mineralized Cryogel/Hydrogel Constructs to Recapitulate Early Breast Cancer Bone Metastasis In Vitro.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Cell viscosity influences haematogenous dissemination and metastatic extravasation of tumour cells.

Nature materials·2026
Same author

Expanding the Usage of Lignin in DLP 3D Printing by Optimized Synthesis and Processing Parameters.

ACS applied polymer materials·2025

相关实验视频

Updated: Jun 8, 2026

An Optimized O9-1/Hydrogel System for Studying Mechanical Signals in Neural Crest Cells
11:02

An Optimized O9-1/Hydrogel System for Studying Mechanical Signals in Neural Crest Cells

Published on: August 13, 2021

3.6K

水凝的尺度特定粘弹性表征:集成AFM和有限元素建模.

Nicole Fertala1, Klemens Uhlmann2, Evgeny Grigoryev3

  • 1Leibniz Institute of Polymer Research Dresden, Division Polymer Biomaterials Science, Max Bergmann Center of Biomaterials, Hohe Straße 6, 01069, Dresden, Germany.

Small (Weinheim an der Bergstrasse, Germany)
|December 4, 2025
PubMed
概括

这项研究提出了一种新的方法来测量水凝在不同尺度上的粘弹性特性. 这种方法改善了用于组织工程和再生医学的生物材料的设计.

关键词:
原子力显微镜的原子力显微镜.有限元素建模 有限元素建模相互透的聚合物网络.规模依赖力学 机械学的规模依赖力学粘弹性水凝是一种粘弹性水凝.

更多相关视频

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
12:26

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

Published on: January 29, 2022

6.3K
Hydrogel Arrays Enable Increased Throughput for Screening Effects of Matrix Components and Therapeutics in 3D Tumor Models
10:49

Hydrogel Arrays Enable Increased Throughput for Screening Effects of Matrix Components and Therapeutics in 3D Tumor Models

Published on: June 16, 2022

2.9K

相关实验视频

Last Updated: Jun 8, 2026

An Optimized O9-1/Hydrogel System for Studying Mechanical Signals in Neural Crest Cells
11:02

An Optimized O9-1/Hydrogel System for Studying Mechanical Signals in Neural Crest Cells

Published on: August 13, 2021

3.6K
Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
12:26

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

Published on: January 29, 2022

6.3K
Hydrogel Arrays Enable Increased Throughput for Screening Effects of Matrix Components and Therapeutics in 3D Tumor Models
10:49

Hydrogel Arrays Enable Increased Throughput for Screening Effects of Matrix Components and Therapeutics in 3D Tumor Models

Published on: June 16, 2022

2.9K

科学领域:

  • 生物材料科学 生物材料科学
  • 聚合物化学 聚合物化学
  • 生物医学工程 生物医学工程

背景情况:

  • 粘弹性水凝对于模仿生物医学应用中的本地细胞外矩阵至关重要.
  • 描述水凝的依赖尺度的机械性质是具有挑战性的,但对于细胞材料相互作用和生物材料性能至关重要.

研究的目的:

  • 开发和验证一种集成的实验计算方法,用于量化和建模相互透的聚合物网络水凝的依赖规模的粘弹性行为.
  • 建立一个精简的方法来提取关键的粘弹性参数.

主要方法:

  • 利用基于原子力显微镜 (AFM) 的应力放松测试来分析微观和宏观规模的水凝行为.
  • 使用有限元模拟来模拟实验条件并提取粘弹性参数.
  • 开发了一种用于预测粘弹性参数的新型分析模型.

主要成果:

  • 微凝显示出快速的局部放松,而散装凝则表现出受 poroelasticity 影响的长时间放松.
  • 有限元模拟准确地复制了实验数据.
  • 新的分析模型预测粘弹性参数的误差小于6%.

结论:

  • 尺度特定的机械分析对于理解水凝的行为至关重要.
  • 开发的方法为设计具有针对组织工程和再生医学的定制粘性生物材料提供了一个强大的平台.