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
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