Rufus Fraanje

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Wavefront sensorless adaptive optics methodologies are widely considered in scanning fluorescence microscopy where direct wavefront sensing is challenging. In these methodologies, aberration correction is performed by sequentially changing the settings of the adaptive element until a predetermined image quality metric is optimized. An efficient aberration(More)
This letter presents a robustification of the preconditioned filtered-X LMS algorithm proposed by Elliott et al. The method optimizes the average performance for probabilistic uncertainty in the secondary path and relaxes the SPR condition for global convergence. It also prevents large amplification in the preconditioning filters due to secondary path zeros(More)
An optimal control method to reject turbulence-induced wavefront distortions in an Adaptive Optics system is discussed. Details of a data-driven control approach are presented where the emphasis is put on the estimation of the optimal predictor of the wavefront disturbance. Several algorithms capable of finding the predictor parameters from the sensor(More)
Adaptive Optics (AO) systems are widely used in many scientific and medical applications, such as astronomy, laser systems and microscopes, in order to improve the resolution of the image by actively sensing and compensating the optical aberration in the system. This paper aims at improving the performance of a closed-loop AO system with Piezo-driven(More)