A stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms
Name
Wood-2009-A Stochastic Broadca.pdf
Size
416.41 KB
Format
Adobe PDF
Checksum (MD5)
6c5750bed4d30058441ab88b450802e3
Author(s) • • •
Asada, Harry
Das, Anusuya
Wood, Levi Benjamin
Kamm, Roger Dale
Date Issued
July 2009
Journal
IEEE Transactions on Biomedical Engineering
Publisher
Institute of Electrical and Electronics Engineers
Citation
Wood, L.B. et al. “A Stochastic Broadcast Feedback Approach to Regulating Cell Population Morphology for Microfluidic Angiogenesis Platforms.” Biomedical Engineering, IEEE Transactions on 56.9 (2009): 2299-2303. © 2009 Institute of Electrical and Electronics Engineers.
Version
Final published version
Abstract
This paper presents a framework for controlling the
development of a vascular system in an in vitro angiogenesis process.
Based on online measurement of cell growth and a stochastic
cell population model, a closed-loop control system is developed
for regulating the process of cell migration and vascular system
development. Angiogenesis is considered in a microfluidic environment,
where chemical and mechanical stimuli can be applied to
the cell population. A systems-level description of the angiogenesis
process is formulated, and a control scheme that chooses an
optimal sequence of control inputs to drive collective cell patterns
toward a desired goal is presented in this paper. In response to
control inputs, the k-step ahead prediction of morphologic pattern
measures is evaluated, and the input that minimizes expected
squared error between the future measure and its desired value
is selected for the current control. Initial simulation experiments
demonstrate that vascular development can be guided toward a
desired morphologic pattern using this technique.
Subjects
vascular development
stochastic processes
population $hbox{control}$
microfluidic devices
biological systems
biological cells
biological $hbox{control}$ systems
Angiogenesis
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.1109/TBME.2009.2026732