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Encyclopedia of Systems and Control pp 1–7Cite as

Identification and Control of Cell Populations

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Abstract

We explore the problem of identification and control of living cell populations. We describe how de novo control systems can be interfaced with living cells and used to control their behavior. Using computer controlled light pulses in combination with a genetically encoded light-responsive module and a flow cytometer, we demonstrate how in silico feedback control can be configured to achieve precise and robust set point regulation of gene expression. We also outline how external control inputs can be used in experimental design to improve our understanding of the underlying biochemical processes.

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Author information

Authors and Affiliations

  1. Department of Biosystems Science and Engineering, Swiss Federal Institute of Technology Zurich (ETHZ), Basel, Switzerland

    Mustafa Khammash

  2. Automatic Control Laboratory, Swiss Federal Institute of Technology Zurich (ETHZ), Zurich, Switzerland

    J. Lygeros

Authors
  1. Mustafa Khammash
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  2. J. Lygeros
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Corresponding author

Correspondence to Mustafa Khammash .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, Massachusetts, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, Minnesota, USA

    Tariq Samad

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© 2014 Springer-Verlag London

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Khammash, M., Lygeros, J. (2014). Identification and Control of Cell Populations. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_92-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_92-1

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  • Publisher Name: Springer, London

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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