期刊论文详细信息
Frontiers in Physics
Deep Learning Assisted Zonal Adaptive Aberration Correction
Biwei Zhang1  Jiazhu Zhu1  Wei Gong1  Ke Si2 
[1] Hangzhou, China;Hangzhou, China;Hangzhou, China;Hangzhou, China;Hangzhou, China;
关键词: deep learning;    microscopy;    biomedical imaging;    aberration correction;    deep tissue focusing;   
DOI  :  10.3389/fphy.2020.621966
来源: Frontiers
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【 摘 要 】

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.

【 授权许可】

CC BY   

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