Peiyi Zhang,1 Donghan Ma,1 Xi Cheng,1 Andy P. Tsai,2 Yu Tang,1 Hao-Cheng Gao,1 Li Fang,1 Bi Cheng,1 Gary E. Landreth,2 Alexander A. Chubykin,1 Fang Huang1
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The inhomogeneous refractive indices of tissues blur and distort single molecule emission patterns generating image artifacts and decreasing the achievable resolution of single molecule localization microscopy (SMLM). We developed deep learning driven adaptive optics (DL-AO) that monitors the individual emission patterns from SMLM experiments, infers their shared wavefront distortion, and drives a deformable mirror to compensate sample induced aberrations. We demonstrated that DL-AO compensates 28 types of wavefront deformation shapes, restores single molecule emission patterns approaching the conditions untouched by the specimen, and improves the resolution and fidelity of 3D SMLM through brain tissues over 130 µm, with 3-20 mirror changes.
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Peiyi Zhang, Donghan Ma, Xi Cheng, Andy P. Tsai, Yu Tang, Hao-Cheng Gao, Li Fang, Bi Cheng, Gary E. Landreth, Alexander A. Chubykin, Fang Huang, "Deep learning driven adaptive optics for single molecule localization microscopy (Conference Presentation)," Proc. SPIE PC12388, Adaptive Optics and Wavefront Control for Biological Systems IX, PC1238805 (16 March 2023); https://doi.org/10.1117/12.2650270