Paper
8 February 2008 Adaptive optics calibration for a wide-field microscope
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Janice Castillo and Thomas Bifano "Adaptive optics calibration for a wide-field microscope", Proc. SPIE 6888, MEMS Adaptive Optics II, 68880E (8 February 2008); https://doi.org/10.1117/12.769431
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image quality

Calibration

Adaptive optics

Spatial frequencies

Actuators

Microscopes

Optimization (mathematics)

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