Deep-learning-enhanced lightfield microscopy for capturing instantaneous biological dynamics at high spatiotemporal resolution

Lanxin Zhu; Chengqiang Yi; Peng Fei

doi:10.1117/12.2601412

9 October 2021 Deep-learning-enhanced lightfield microscopy for capturing instantaneous biological dynamics at high spatiotemporal resolution

Lanxin Zhu, Chengqiang Yi, Peng Fei

Author Affiliations +

Proceedings Volume 11900, Optics in Health Care and Biomedical Optics XI; 1190006 (2021) https://doi.org/10.1117/12.2601412
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China

Abstract

Artifacts, nonuniform resolution and a slow reconstruction speed have limited the full capabilities of emerging light-field microscopy for in toto extraction of dynamic spatiotemporal patterns in samples. We overcome this limitation through combining a view-channel-depth (VCD) neural network with light-field microscopy, yielding artifact-free three-dimensional image sequences with uniform spatial resolution and high-video-rate reconstruction throughput. We imaged neuronal activities across moving Caenorhabditis elegans and blood flow in a beating zebrafish heart at single-cell resolution with volumetric imaging rates up to 200 Hz.

Conference Presentation

Citation Download Citation

Lanxin Zhu, Chengqiang Yi, and Peng Fei "Deep-learning-enhanced lightfield microscopy for capturing instantaneous biological dynamics at high spatiotemporal resolution", Proc. SPIE 11900, Optics in Health Care and Biomedical Optics XI, 1190006 (9 October 2021); https://doi.org/10.1117/12.2601412

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