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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
Capítulos
- 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
Die Plattform Integrative Toolkit to Analyze Cellular Signals (iTACS) automatisiert den Prozess der gleichzeitigen Messung einer Vielzahl von chemischen und mechanischen Signalen in adhärente Zellen. iTACS wurde entwickelt, um die Community-getriebene Entwicklung zu erleichtern und es Forschern zu ermöglichen, alle Plattformfunktionen unabhängig von ihrem Bildungshintergrund zu nutzen.
