A stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms
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...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/54776 https://orcid.org/0000-0003-3155-6223 https://orcid.org/0000-0002-7232-304X |
| _version_ | 1811079573334392832 |
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| author | Asada, Harry Das, Anusuya Wood, Levi Benjamin Kamm, Roger Dale |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Asada, Harry Das, Anusuya Wood, Levi Benjamin Kamm, Roger Dale |
| author_sort | Asada, Harry |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:17:09Z |
| format | Article |
| id | mit-1721.1/54776 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:17:09Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/547762022-09-27T18:26:26Z A stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms Asada, Harry Das, Anusuya Wood, Levi Benjamin Kamm, Roger Dale Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Mechanical Engineering Kamm, Roger Dale Asada, Harry Das, Anusuya Wood, Levi Benjamin Kamm, Roger Dale vascular development stochastic processes population $hbox{control}$ microfluidic devices biological systems biological cells biological $hbox{control}$ systems Angiogenesis 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. National Science Foundation (Grant NSFEFRI- 0735997) 2010-05-12T20:10:00Z 2010-05-12T20:10:00Z 2009-07 2009-05 Article http://purl.org/eprint/type/JournalArticle 0018-9294 PubMed ID: 19622435 INSPEC Accession Number: 10828631 http://hdl.handle.net/1721.1/54776 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. https://orcid.org/0000-0003-3155-6223 https://orcid.org/0000-0002-7232-304X en_US http://dx.doi.org/10.1109/TBME.2009.2026732 IEEE Transactions on Biomedical Engineering 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. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | vascular development stochastic processes population $hbox{control}$ microfluidic devices biological systems biological cells biological $hbox{control}$ systems Angiogenesis Asada, Harry Das, Anusuya Wood, Levi Benjamin Kamm, Roger Dale A stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms |
| title | A stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms |
| title_full | A stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms |
| title_fullStr | A stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms |
| title_full_unstemmed | A stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms |
| title_short | A stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms |
| title_sort | stochastic broadcast feedback approach to regulating cell population for microfluidic angiogenesis platforms |
| topic | vascular development stochastic processes population $hbox{control}$ microfluidic devices biological systems biological cells biological $hbox{control}$ systems Angiogenesis |
| url | http://hdl.handle.net/1721.1/54776 https://orcid.org/0000-0003-3155-6223 https://orcid.org/0000-0002-7232-304X |
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