A stochastic broadcast feedback approach to regulating cell population morphology for microfluidic angiogenesis...

Area of Science:

• Biomedical Engineering
• Systems Biology
• Cellular Engineering

Background:

• Angiogenesis, the formation of new blood vessels, is crucial for development and disease.
• Controlling in vitro angiogenesis is challenging due to complex cellular dynamics.
• Microfluidic platforms offer precise control over cellular microenvironments.

Purpose of the Study:

• To develop a closed-loop control framework for in vitro angiogenesis.
• To regulate vascular system development by controlling cell migration and pattern formation.
• To guide collective cell patterns toward a desired morphologic goal.

Main Methods:

• Utilizing online measurements of cell growth and a stochastic cell population model.
• Formulating a systems-level description of the angiogenesis process.
• Implementing a control scheme with k-step ahead prediction of morphologic pattern measures.
• Selecting control inputs to minimize expected squared error for desired vascular patterns.

Main Results:

• Demonstrated a closed-loop control system for in vitro angiogenesis.
• Successfully guided vascular development toward a predetermined morphologic pattern.
• Validated the control strategy through simulation experiments.

Conclusions:

• The presented framework enables precise control over in vitro vascular development.
• This approach offers a novel method for engineering vascular networks.
• The technique has potential applications in regenerative medicine and tissue engineering.