@inproceedings{9a76b3243a91457d90b64a7f5e65b11d,
title = "Rapid and highly integrated FPGA-based Shack-Hartmann wavefront sensor for adaptive optics system",
abstract = "In this study, a field programmable gate array (FPGA)-based Shack-Hartmann wavefront sensor (SHWS) programmed on LabVIEW can be highly integrated into customized applications such as adaptive optics system (AOS) for performing real-time wavefront measurement. Further, a Camera Link frame grabber embedded with FPGA is adopted to enhance the sensor speed reacting to variation considering its advantage of the highest data transmission bandwidth. Instead of waiting for a frame image to be captured by the FPGA, the Shack-Hartmann algorithm are implemented in parallel processing blocks design and let the image data transmission synchronize with the wavefront reconstruction. On the other hand, we design a mechanism to control the deformable mirror in the same FPGA and verify the Shack-Hartmann sensor speed by controlling the frequency of the deformable mirror dynamic surface deformation. Currently, this FPGAbead SHWS design can achieve a 266 Hz cyclic speed limited by the camera frame rate as well as leaves 40% logic slices for additionally flexible design.",
author = "Chen, {Yi Pin} and Chang, {Chia Yuan} and Chen, {Shean Jen}",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; Adaptive Optics and Wavefront Control for Biological Systems IV 2018 ; Conference date: 27-01-2018 Through 29-01-2018",
year = "2018",
doi = "10.1117/12.2289095",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Joel Kubby and Sylvain Gigan and Bifano, {Thomas G.}",
booktitle = "Adaptive Optics and Wavefront Control for Biological Systems IV",
address = "United States",
}