整合型细胞信号分析工具包：力学、运动、形态与荧光

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被引用 7 次

14:55 分钟

2022年3月5日

10.3791/63095-v

2022年3月5日

5.2K 次观看

Alyson Nguyen^*¹ , Keith Battle^*²^,³ , Sunita S. Paudel^*²^,³ , Ningyong Xu² , Jessica Bell³ , Linn Ayers³ , Cassandra Chapman⁴ , Ajay P. Singh⁵ , Srinivas Palanki⁶ , Thomas Rich³^,⁷ , Diego F. Alvarez⁸ , Troy Stevens²^,³ , Dhananjay T. Tambe³^,⁴^,⁷

¹Biomedical Sciences, Pat Capps Covey College of Allied Health Professions, University of South Alabama, ²Department of Physiology and Cell Biology, College of Medicine, University of South Alabama, ³Center for Lung Biology, College of Medicine, University of South Alabama, ⁴William B. Burnsed Jr. Mechanical, Aerospace, and Biomedical Engineering Department, College of Engineering, University of South Alabama, ⁵Mitchell Cancer Institute, College of Medicine, University of South Alabama, ⁶Department of Chemical and Biomedical Engineering, West Virginia University, ⁷Department of Pharmacology, College of Medicine, University of South Alabama, ⁸Department of Physiology & Pharmacology, College of Osteopathic Medicine, Sam Houston State University

^* These authors contributed equally

整合型细胞信号分析工具包（iTACS）平台可自动化同步测量贴壁细胞中的多种化学和机械信号。iTACS 旨在促进社区驱动的开发模式，并使研究人员无论其教育背景如何，均能使用平台的全部功能。

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Chapters in this video

0:02

Introduction

1:46

Creation of Position List

3:57

Automated Image Acquisition for the Remaining Experiment

4:34

Setting Up Automated Data Analysis

6:08

Quantification of Hydrogel Deformation

6:37

Quantification of Cell-ECM and Cell-cell Forces

8:44

Segmentation of the Individual Cells in the Images

9:47

Mapping of the Pixel Intensities on the Cells

11:06

Mapping of the Forces and Motion on the Cells

11:51

Tracking of the Cellular Indentities across the Experiment

12:51

Generation of Time Tracks of the Assessed Cellular Properties

13:27

Generation of the Heat Maps of the Assessed Cellular Properties

13:53

Representative Results

14:30

Conclusion