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Deep Learning for the Design of Computational Microscopes

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Abstract

We use deep learning to optimize the end-to-end design of computational microscopes, jointly designing the hardware for data collection and processing software for object reconstruction. With this framework, we optimize the illumination pattern for high space-bandwidth product imaging and 3-dimensional imaging.

© 2019 The Author(s)

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