Abstract
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.
Highlights
Biomedical imaging often suffers from the optical aberrations caused by the highly scattering characteristic of the biological tissue [1]
We present a DL assisted zonal adaptive correction (DLZAC) method in this article to achieve complex aberration adaptive optics (AO) correction for biomedical imaging in fast speed
Since the previous DL assisted modal adaptive correction (DLMAC) method can only work on low-order simple aberrations, our method successfully overcomes this restriction by conducting the aberration measurement as well as the correction in a zonal way
Summary
Biomedical imaging often suffers from the optical aberrations caused by the highly scattering characteristic of the biological tissue [1]. As the imaging target goes deeper, more complex aberrations with increasing high-order components will come into existence because of the multiple scattering process, which may severely distort the imaging focus and greatly undermine the performance of deep tissue imaging [2]. Adaptive optics (AO) is one of the most common used techniques to correct the aberrations [3]. In this technique, the aberrations are directly measured by a wavefront sensor or detected in an indirect way, and corrected by a spatial light modulator (SLM) or a deformable mirror (DM) [4]. The AO process can be time-consuming and limits the imaging speed
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