3D micropatterned multiphoton stimulation via deep learning-based computer-generated holography with temporal focusing confinement

Liang-Wei Chen; Feng-Chun Hsu; Yvonne Yuling Hu; Chun-Yu Lin; Shean-Jen Chen

doi:10.1117/12.2618096

27 May 2022 3D micropatterned multiphoton stimulation via deep learning-based computer-generated holography with temporal focusing confinement

Liang-Wei Chen, Feng-Chun Hsu, Yvonne Yuling Hu, Chun-Yu Lin, Shean-Jen Chen

Author Affiliations +

Proceedings Volume 12144, Biomedical Spectroscopy, Microscopy, and Imaging II; 1214403 (2022) https://doi.org/10.1117/12.2618096
Event: SPIE Photonics Europe, 2022, Strasbourg, France

Abstract

The customized 3D illumination patterns can be generated with computer-generated holography (CGH), and the axial confinement of the illumination patterns can be improved by inducing the temporal focusing technique. Through these approaches, the neuron excitation in single-cell resolution can be achieved. However, due to the computation cost of iterative CGH algorithm, the hologram must be pre-calculated to generate the illumination patterns for neuron excitation. This shortcoming makes it difficult to dynamically stimulate the neurons for observing neural activity. To overcome this issue for real-time dynamic neuron stimulation, we develop a neuron stimulation system with single-cell resolution and a real-time CGH algorithm. For single-cell resolution, a diffraction grating is used to generate the temporal focusing effect. Moreover, we design a deep-learning based CGH algorithm considering temporal focusing effect to real-time generate hologram with the pre-trained U-net architecture for producing customized illumination patterns in 3D positions. In our approach, the dynamic 3D micro-patterned single-cell neural excitation can be achieved by inducing temporal focusing technique to improve the axial resolution to few microns level and generating hologram by deep-learning based CGH considering temporal focusing to speed up the computation time to tens of milliseconds.

Conference Presentation

Citation Download Citation

Liang-Wei Chen, Feng-Chun Hsu, Yvonne Yuling Hu, Chun-Yu Lin, and Shean-Jen Chen "3D micropatterned multiphoton stimulation via deep learning-based computer-generated holography with temporal focusing confinement", Proc. SPIE 12144, Biomedical Spectroscopy, Microscopy, and Imaging II, 1214403 (27 May 2022); https://doi.org/10.1117/12.2618096

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