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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
Chapters
- 00:02Introduction
- 01:46Creation of Position List
- 03:57Automated Image Acquisition for the Remaining Experiment
- 04:34Setting Up Automated Data Analysis
- 06:08Quantification of Hydrogel Deformation
- 06:37Quantification of Cell-ECM and Cell-cell Forces
- 08:44Segmentation of the Individual Cells in the Images
- 09:47Mapping of the Pixel Intensities on the Cells
- 11:06Mapping of the Forces and Motion on the Cells
- 11:51Tracking of the Cellular Indentities across the Experiment
- 12:51Generation of Time Tracks of the Assessed Cellular Properties
- 13:27Generation of the Heat Maps of the Assessed Cellular Properties
- 13:53Representative Results
- 14:30Conclusion
La plataforma Integrative Toolkit to Analyze Cellular Signals (iTACS) automatiza el proceso de medición simultánea de una amplia variedad de señales químicas y mecánicas en células adherentes. iTACS está diseñado para facilitar el desarrollo impulsado por la comunidad y permitir a los investigadores utilizar todas las características de la plataforma, independientemente de su formación académica.
