Abstract

We demonstrate a deep-learning based light-field microscopy method, which achieves greatly improved spatial resolution and video-rate reconstruction throughput, thereby allowing sustained volumetric recording of fast biological dynamics at high spatiotemporal resolution.

© 2020 The Author(s)

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