Deep learning driven adaptive optics for single molecule localization microscopy (Conference Presentation)

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

doi:10.1117/12.2650270

16 March 2023 Deep learning driven adaptive optics for single molecule localization microscopy (Conference Presentation)

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

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Proceedings Volume PC12388, Adaptive Optics and Wavefront Control for Biological Systems IX; PC1238805 (2023) https://doi.org/10.1117/12.2650270
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

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.

Conference Presentation

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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, and 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

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KEYWORDS

Molecules

Adaptive optics

Microscopy

Tissues

Wavefront distortions

Sensors

Statistical analysis

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