• DocumentCode
    630633
  • Title

    Design of a constant force clamp and estimation of molecular motor motion using modern control approach

  • Author

    Roychowdhury, Sohini ; Bhaban, Shreyas ; Salapaka, Srinivasa ; Salapaka, Murti

  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    1525
  • Lastpage
    1530
  • Abstract
    Since its inception, optical traps have become an important tool for single molecule investigation because of its precise ability to manipulate microparticles and probe systems with a force resolution of the order of fN. Its use as a constant force clamp is of particular importance in the study of molecular motors and DNA. The highly nonlinear nature (specially the presence of hysteresis) of the force-extension relationships in such biomolecules is traditionally modelled as a linear Hookean spring for small force perturbations. For these linear models to hold, high disturbance rejection bandwidths are required so that the perturbations from the regulated values remain small. The absence of systematic design and performance quantification in the current literature is addressed by designing an optimized PI and a H controller, that significantly improve the force regulation and its bandwidth. A major application of constant force clamps is in step detection of biomolecules, where due to the presence of thermal noise, one has to extract the stepping data via postprocessing. In this paper, a real time step-detection scheme, currently lacking in literature, is achieved via a mixed objective H2/H synthesis. In the design, the H norm for force regulation and stepping estimation error is minimized while keeping the H2 norm of the thermal noise on the stepping estimate is kept bounded.Since its inception, optical traps have become an important tool for single molecule investigation because of its precise ability to manipulate microparticles and probe systems with a force resolution of the order of fN. Its use as a constant force clamp is of particular importance in the study of molecular motors and DNA. The highly nonlinear nature (specially the presence of hysteresis) of the force-extension relationships in such biomolecules is traditionally modelled as a linear Hookean spring for small force - erturbations. For these linear models to hold, high disturbance rejection bandwidths are required so that the perturbations from the regulated values remain small. The absence of systematic design and performance quantification in the current literature is addressed by designing an optimized PI and a H controller, that significantly improve the force regulation and its bandwidth. A major application of constant force clamps is in step detection of biomolecules, where due to the presence of thermal noise, one has to extract the stepping data via postprocessing. In this paper, a real time step-detection scheme, currently lacking in literature, is achieved via a mixed objective H2/H synthesis. In the design, the H norm for force regulation and stepping estimation error is minimized while keeping the H2 norm of the thermal noise on the stepping estimate is kept bounded.
  • Keywords
    PI control; biological techniques; molecular biophysics; thermal noise; DNA; H controller optimization; H norm; H2-H synthesis; PI controller optimization; biomolecule detection; constant force clamp design; force perturbation; force regulation; force-extension relationship; hysteresis; linear Hookean spring; microparticle manipulation; molecular motor motion estimation; optical trap; real time step-detection scheme; stepping estimation error; thermal noise; Bandwidth; Clamps; Estimation; Force; Noise; Thermal noise; Transfer functions; Constant force clamp; isotonic clamp; kinesin stepping; mixed objective H2/H synthesis; optical trap; real time step detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580052
  • Filename
    6580052