• DocumentCode
    2458216
  • Title

    Comparison of control algorithms for a MEMS-based adaptive optics scanning laser ophthalmoscope

  • Author

    Li, Kaccie Y. ; Mishra, Sandipan ; Tiruveedhula, Pavan ; Roorda, Austin

  • Author_Institution
    Vision Sci. group in the Sch. of Optometry, Univ. of California at Berkeley, Berkeley, CA, USA
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    3848
  • Lastpage
    3853
  • Abstract
    We compared four algorithms for controlling a MEMS deformable mirror of an adaptive optics (AO) scanning laser ophthalmoscope. Interferometer measurements of the static nonlinear response of the deformable mirror were used to form an equivalent linear model of the AO system so that the classic integrator plus wavefront reconstructor type controller can be implemented. The algorithms differ only in the design of the wavefront reconstructor. The comparisons were made for two eyes (two individuals) via a series of imaging sessions. All four controllers performed similarly according to estimated residual wavefront error not reflecting the actual image quality observed. A metric based on mean image intensity did consistently reflect the qualitative observations of retinal image quality. Based on this metric, the controller most effective for suppressing the least significant modes of the deformable mirror performed the best.
  • Keywords
    eye; image processing; laser mirrors; micromechanical devices; micromirrors; optical scanners; MEMS deformable mirror; adaptive optics scanning laser ophthalmoscope; control algorithms; integrator plus wavefront reconstructor type controller; retinal image quality; static nonlinear response; Adaptive optics; Deformable models; Image quality; Image reconstruction; Laser modes; Micromechanical devices; Mirrors; Nonlinear control systems; Optical control; Optical interferometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5159832
  • Filename
    5159832