• DocumentCode
    2386603
  • Title

    Achieving targeted granulocyte differentiation through the use of interpolation and optimization techniques

  • Author

    Noble, Sarah ; Sherer, Eric ; Ramkrishna, Doraiswami ; Rundell, Ann

  • Author_Institution
    Electr. & Comput. Eng. Dept., Purdue Univ., West Lafayette, IN
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    2571
  • Lastpage
    2572
  • Abstract
    Cellular differentiation is a complex process for which systematic design of control strategies has not been widely investigated. As a first step towards this aim, a control strategy for achieving a desired percentage of differentiating cells is proposed. A population balance model structure parallels the known granulocyte/monocyte differentiation pathway. Transition rate functions that characterize the movement of cells from one differentiation state to the next were identified from experimental data obtained via flow cytometry. An additional experiment demonstrates the efficacy of the proposed model and control strategy.
  • Keywords
    biology computing; cellular biophysics; interpolation; optimisation; cellular differentiation; flow cytometry; granulocyte/monocyte differentiation pathway; interpolation techniques; optimization techniques; population balance model structure; transition rate function; Biomedical computing; Biomedical engineering; Chemicals; Control system synthesis; Control systems; Design optimization; Humans; Interpolation; Predictive models; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586878
  • Filename
    4586878