Deep Learning Assisted Zonal Adaptive Aberration Correction

Deep learning (DL) has been recently applied to adaptive optics (AO) to correct optical aberrations rapidly in biomedical imaging. Here we propose a DL assisted zonal adaptive correction method to perform corrections of high degrees of freedom while maintaining the fast speed. With a trained DL neur...

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Veröffentlicht in:Frontiers in physics 2021-01, Vol.8
Hauptverfasser: Zhang, Biwei, Zhu, Jiazhu, Si, Ke, Gong, Wei
Format: Artikel
Sprache:eng
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Zusammenfassung:Deep learning (DL) has been recently applied to adaptive optics (AO) to correct optical aberrations rapidly in biomedical imaging. Here we propose a DL assisted zonal adaptive correction method to perform corrections of high degrees of freedom while maintaining the fast speed. With a trained DL neural network, the pattern on the correction device which is divided into multiple zone phase elements can be directly inferred from the aberration distorted point-spread function image in this method. The inference can be completed in 12.6 ms with the average mean square error 0.88 when 224 zones are used. The results show a good performance on aberrations of different complexities. Since no extra device is required, this method has potentials in deep tissue imaging and large volume imaging.
ISSN:2296-424X
2296-424X
DOI:10.3389/fphy.2020.621966