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Learning Biological Structures from Birefringence images with Deep Neural Networks

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Abstract

Multiplexed analysis of biological structures detected by label-free imaging is becoming tractable with deep learning. We demonstrate improved learning of ordered structures from quantitative birefringence images using a deep convolutional neural network.

© 2019 The Author(s)

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