Full Description
Smart Organ-on-Chip Devices: Dynamic Microfluidic Systems for Cell Culture discusses the concepts to engineer functional stimuli responsive organotypic-on-chip devices and its application in several fields, including drug development, disease modeling, personalized medicine, and tissue engineering. Groundbreaking studies are presented throughout the book sections to reinforce the importance of adding more reliable and robust in vitro platforms able to closely emulate the dynamism of human physiology.
The authors present new information regarding in silico studies of cell spheroids within microfluidic devices, as well as step-by-step guidance on key procedures. Written for researchers, practitioners and students using microfluidic devices as platforms, by well-respected scientists from both academia and industry.
Contents
SECTION 1: MICROFLUIDICS AND ORGAN-ON-CHIP TECHNOLOGIES
1. Organotypic On-Chip Models: Bridging the Gap Between Traditional In Vitro Culture and Animal Testing
2. Microfabrication Processes for the Manufacturing of Smart Organ-on-Chip Devices
3. Bioprinted Organ-on-a-Chip: A Strategy to Achieve Humanized In Vitro Models
4. Disease Modeling and Developmental Biology Through Microfluidic Channels
5. Artificial Intelligence-Assisted Organ-on-Chip Systems
SECTION 2: STIMULI ACTIVE ORGANOTYPIC-ON-CHIP DEVICES
6. Mechanically Active Organotypic-On-Chip Devices for Dynamic Cell Culture
7. Sensors within Microfluidic Chips: Optofluidics to Explore In Vitro Organoid Behavior
8. Photothermal and Magnetic Cell Stimuli Caused by Nanoparticles Inside Organ-on-Chip Platforms
SECTION 3: MICROPHYSIOLOGICAL CASE STUDIES
9. Brain-on-Chip Microplatforms for Precision Medicine, Disease Modelling, and Developmental Biology
10. Dynamic Microphysiological Systems to Access Sickle Cell Disease - A Case Study for Disease Modeling
11. Microtechnologies and Mathematical Modeling in Signaling Cascades Multiorgan Microphysiological Systems
12. Mechanically Active Heart-on-a-Chip: Toward a Reliable Heart Beating Study Model
13. Remaining Challenges: Are We Close to a Physiologically Representative In Vitro Model for Clinical Deployment?
