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Imaging Biological Samples with Optical Microscopy01:18

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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相关实验视频

Updated: Sep 9, 2025

Intermediate Strain Rate Material Characterization with Digital Image Correlation
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物理指导的模拟方法与数字图像相关性 (DIC) 测量

Jihong Wang1, Chung-Hao Lee2, William Richardson3

  • 1Department of Mathematics, Lehigh University, Bethlehem, PA, USA.

Proceedings. International Conference on Image Processing
|August 29, 2025
PubMed
概括

我们开发了一种新的方法来分析材料拉伸测试中的数字图像相关性 (DIC) 数据. 这种方法提高了像心脏门这样复杂的生物组织模型的准确性.

关键词:
DIC测量材料建模物理导向的平滑繁殖的核

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科学领域:

  • 生物力学
  • 材料科学
  • 计算力学

背景情况:

  • 数字图像相关性 (DIC) 对于测量材料变形至关重要.
  • 分析DIC数据来自复杂的负载条件,如双轴拉伸带来了挑战.
  • 精确的材料建模需要物理一致的应变和位移场.

研究的目的:

  • 介绍一种基于优化的新方法,用于处理多个双轴拉伸协议的DIC测量.
  • 使用处理的DIC数据开发数据驱动的异质材料建模工作流程.
  • 在生物组织样本上应用和验证该方法.

主要方法:

  • 一种基于优化的方法,使用带有正应变约束的移动最小方形来获得平滑的节点位移.
  • 一个数据驱动的工作流程来估计非局部构成性规律和材料微观结构.
  • 适用于从猪三门前侧的DIC测量.

主要成果:

  • 从DIC数据中获得物理一致的移位和应变场.
  • 一个非本地构成法和光纤导向场被成功估计.
  • 这种方法在模拟生物材料方面表现出更高的准确性.

结论:

  • 拟议的DIC数据处理方法提高了材料建模的准确性,特别是对于生物组织.
  • 这项工作为将DIC测量与数据驱动材料建模整合提供了坚实的框架.
  • 这种方法对于描述异质材料的行为和微观结构是有效的.