Endothelial cells (ECs) create a vascular network with a tubular structure in response to growth factors diffused into the gel and interactions with the surrounding environment. Individual cells migrate in response to all of these cues, leading to network pattern formation. This paper presents a dynamic model predicting EC sprout growth that is tuned to time-lapse experimental cell migration data obtained from microfluidic 3D culture. Simple cell migration equations with just a few parameters are formulated and a Maximum Likelihood estimator is used for estimating model parameters from experimental data. The tuned model is used to evaluate the influence of different sprout elongation rates on cell density in the sprout stalk. This quantitative modeling approach will lead to input shaping and feedback control to optimize sprouting metrics such as stalk cell density.
Skip Nav Destination
ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control
October 31–November 2, 2011
Arlington, Virginia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5476-1
PROCEEDINGS PAPER
An Experimentally Tuned Dynamic Model Predicting Cell Migration for Guidance of Sprouting Endothelial Cells
Levi Wood,
Levi Wood
Massachusetts Institute of Technology, Cambridge, MA
Search for other works by this author on:
H. Harry Asada
H. Harry Asada
Massachusetts Institute of Technology, Cambridge, MA
Search for other works by this author on:
Levi Wood
Massachusetts Institute of Technology, Cambridge, MA
H. Harry Asada
Massachusetts Institute of Technology, Cambridge, MA
Paper No:
DSCC2011-6134, pp. 595-601; 7 pages
Published Online:
May 5, 2012
Citation
Wood, L, & Asada, HH. "An Experimentally Tuned Dynamic Model Predicting Cell Migration for Guidance of Sprouting Endothelial Cells." Proceedings of the ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 2. Arlington, Virginia, USA. October 31–November 2, 2011. pp. 595-601. ASME. https://doi.org/10.1115/DSCC2011-6134
Download citation file:
7
Views
Related Proceedings Papers
Related Articles
The Story of Wall Shear Stress in Coronary Artery Atherosclerosis: Biochemical Transport and Mechanotransduction
J Biomech Eng (April,2021)
Added-Mass Effect in Modeling of Cilia-Based Devices for Microfluidic Systems
J. Vib. Acoust (April,2010)
Simulation of Droplet Position Control in Digital Microfluidic Systems
J. Dyn. Sys., Meas., Control (January,2010)
Related Chapters
Clinical issues and experience
Mechanical Blood Trauma in Circulatory-Assist Devices
Methodology for Proliferation Resistance for Advanced Nuclear Energy Systems (PSAM-0450)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Estimating Resilient Modulus Using Neural Network Models
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17