Adaptive optical microscopy via virtual-imaging-assisted wavefront sensing for high-resolution tissue imaging

Zhou Zhou^{1, 2},
Jiangfeng Huang^{1, 2},
Xiang Li^{1, 2},
Xiujuan Gao^{1, 2},
Zhongyun Chen^{1, 2},
Zhenfei Jiao^{1, 2},
Zhihong Zhang^{1, 2},
Qingming Luo^{1, 2, 3},
Ling Fu^{1, 2}

1.
Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
2.
MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China
3.
School of Biomedical Engineering, Hainan University, Haikou, 570228, China

Funds: We thank the Du laboratory (Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China) for providing the zebrafish larvae.

摘要

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Abstract: Adaptive optics (AO) is a powerful tool for optical microscopy to counteract the effects of optical aberrations and improve the imaging performance in biological tissues. The diversity of sample characteristics entails the use of different AO schemes to measure the underlying aberrations. Here, we present an indirect wavefront sensing method leveraging a virtual imaging scheme and a structural-similarity-based shift measurement algorithm to enable aberration measurement using intrinsic structures even with temporally varying signals. We achieved high-resolution two-photon imaging in a variety of biological samples, including fixed biological tissues and living animals, after aberration correction. We present AO-incorporated subtractive imaging to show that our method can be readily integrated with resolution enhancement techniques to obtain higher resolution in biological tissues. The robustness of our method to signal variation is demonstrated by both simulations and aberration measurement on neurons exhibiting spontaneous activity in a living larval zebrafish.
- Adaptive optics /
- Microscopy /
- Tissue imaging

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