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A quantitative phase image is often obtained by refocussing or by an iterative algorithm containing refocussing steps. The required propagation distance is judged by a manual search. Autofocus algorithms attempt to estimate this propagation distance. In this paper, we report novel approaches to autofocus for quantitative phase images using neural networks.
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Yannuo Wen, Yue Wang, John J. Healy, "Autofocus in quantitative phase imaging," Proc. SPIE 12136, Unconventional Optical Imaging III, 1213612 (20 May 2022); https://doi.org/10.1117/12.2621357