Enhancing Image SNR through the integration of deep learning and high-speed two-photon volumetric imaging

Yin-Tzu Hsieh; Shi-Wei Chu; Chia-Lung Hsieh; Bi-Chang Chen; Ming-Kai Pan; Shun-Chi Wu; Kai-Chun Jhan; Guan-Jie Huang Huang; Chang-Ling Chung; Ting-Chen Chang; Wun-Ci Chen; Jye-Chang Lee

doi:10.1117/12.2691469

13 March 2024 Enhancing Image SNR through the integration of deep learning and high-speed two-photon volumetric imaging

Yin-Tzu Hsieh, Shi-Wei Chu, Chia-Lung Hsieh, Bi-Chang Chen, Ming-Kai Pan, Shun-Chi Wu, Kai-Chun Jhan, Guan-Jie Huang Huang, Chang-Ling Chung, Ting-Chen Chang, Wun-Ci Chen, Jye-Chang Lee

Author Affiliations +

Proceedings Volume PC12853, High-Speed Biomedical Imaging and Spectroscopy IX; PC128530O (2024) https://doi.org/10.1117/12.2691469
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We developed a high-speed two-photon volumetric imaging system with hundreds of axial layers that match a deep-learning denoising model to capture millisecond-level functional changes in individual neurons with high SNR. Compare with general deep-learning methods, the spatial information-based training method not only enhances SNR by 300% but prevents temporal distortion. Our proof-of-concept experiment focused on calcium dynamics in cerebellum Purkinje cells, revealing similar responses in the parallel dendritic layers, yet significant divergence in the somatic area. This sheds light on the intricate signal processing at individual neuron levels, validating our imaging system.

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Yin-Tzu Hsieh, Shi-Wei Chu, Chia-Lung Hsieh, Bi-Chang Chen, Ming-Kai Pan, Shun-Chi Wu, Kai-Chun Jhan, Guan-Jie Huang Huang, Chang-Ling Chung, Ting-Chen Chang, Wun-Ci Chen, and Jye-Chang Lee "Enhancing Image SNR through the integration of deep learning and high-speed two-photon volumetric imaging", Proc. SPIE PC12853, High-Speed Biomedical Imaging and Spectroscopy IX, PC128530O (13 March 2024); https://doi.org/10.1117/12.2691469

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