Abstract

Current deep learning methods for fluorescence image restoration necessitate numerous well-aligned image pairs for training. We develop an unsupervised learning framework for high-fidelity fluorescence image restoration without the laborious work of image annotation and registration.

© 2020 The Author(s)

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