Abstract
A method based on deep learning was proposed to enhance the defocused resolution and signal‐to‐noise ratio of optical‐resolution photoacoustic microscopy. A fully dense U‐Net was trained with randomly distributed sources of different shapes to improve the quality of photoacoustic images. The results show that the PSNR of defocused signal was enhanced by more than 1.2 times. An over 2.6‐fold enhancement in lateral resolution and an over 3.4‐fold enhancement in axial resolution of defocused regions were achieved.For further details please visit the article by Rui Wang, Zhipeng Zhang, Ruiyi Chen, Xiaohai Yu, Hongyu Zhang, Gang Hu, Qiegen Liu, Xianlin Song (e202300149). image
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