伤口愈合过程中迁移细胞的三维无标记成像与定量分析。
Three-dimensional label-free imaging and quantification of migrating cells during wound healing.
作者信息
Lee Ariel J, Hugonnet Herve, Park WeiSun, Park YongKeun
机构信息
Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
KAIST Institute for Health Science and Technology, KAIST, Daejeon, Republic of Korea.
出版信息
Biomed Opt Express. 2020 Nov 2;11(12):6812-6824. doi: 10.1364/BOE.405087. eCollection 2020 Dec 1.
Abstract
The wound-healing assay is a simple but effective tool for studying collective cell migration (CCM) that is widely used in biophysical studies and high-throughput screening. However, conventional imaging and analysis methods only address two-dimensional (2D) properties in a wound healing assay, such as gap closure rate. This is unfortunate because biological cells are complex 3D structures, and their dynamics provide significant information about cell physiology. Here, we presented 3D label-free imaging for wound healing assays and investigated the 3D dynamics of CCM using optical diffraction tomography. High-resolution subcellular structures as well as their collective dynamics were imaged and analyzed quantitatively.
摘要
伤口愈合实验是一种简单但有效的研究集体细胞迁移（CCM）的工具，广泛应用于生物物理研究和高通量筛选。然而，传统的成像和分析方法在伤口愈合实验中仅关注二维（2D）特性，如间隙闭合率。这很遗憾，因为生物细胞是复杂的三维结构，其动态变化提供了有关细胞生理学的重要信息。在此，我们展示了用于伤口愈合实验的三维无标记成像，并使用光学衍射层析成像研究了CCM的三维动态变化。对高分辨率亚细胞结构及其集体动态进行了成像和定量分析。
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