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Phase Extraction Neural Network (PhENN)

The Phase Extraction Neural Network (PhENN) is a deep learning architecture that can be trained to recover an unknown phase object from the raw intensity measurement obtained through a lensless phase imaging system.

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Cite this as

MO DENG, SHUAI LI, IKSUNG KANG, NICHOLAS X. FANG, GEORGE BARBASTATHIS (2024). Dataset: Phase Extraction Neural Network (PhENN). https://doi.org/10.57702/jrn2hkeu

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.1364/OE.395204
Author	MO DENG
More Authors	SHUAI LI IKSUNG KANG NICHOLAS X. FANG GEORGE BARBASTATHIS
Homepage	https://arxiv.org/abs/2005.11117