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Proceedings Paper

Adaptive optics calibration for a wide-field microscope
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Paper Abstract

Adaptive optics calibration of a novel wide-field scanning microscope is described, comparing relevant parameters for several optimization techniques. Specifically, comparisons of the optimization algorithm, image quality metrics, and the calibration image target are detailed. It is shown that stochastic parallel gradient descent (SPGD) algorithm using image intensity as a metric provides robust, repeatable system optimization. Results also show that optimization performance improves when the feature sizes on the calibration target approach the diffraction limit and are more uniformly distributed. This paper further compares stochastic, image-based optimization performance to that of conventional adaptive optics optimization with a point source object and a Shack Hartmann wavefront sensor.

Paper Details

Date Published: 8 February 2008
PDF: 7 pages
Proc. SPIE 6888, MEMS Adaptive Optics II, 68880E (8 February 2008); doi: 10.1117/12.769431
Show Author Affiliations
Janice Castillo, Boston Univ. (United States)
Thomas Bifano, Boston Univ. (United States)


Published in SPIE Proceedings Vol. 6888:
MEMS Adaptive Optics II
Scot S. Olivier; Thomas G. Bifano; Joel A. Kubby, Editor(s)

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