@inproceedings{0a981dcf74cb4ceda45799c436dfe993,
title = "Deep-learning-enabled Holographic Polarization Microscopy",
abstract = "We present a deep learning-based holographic polarization microscopy framework that can transform amplitude and phase information of samples into birefringence retardance and orientation images using holograms collected under a single polarization state.",
author = "Tairan Liu and \{De Haan\}, Kevin and Bijie Bai and Yair Rivenson and Yi Luo and Hongda Wang and David Karalli and Hongxiang Fu and Yibo Zhang and John Fitzgerald and Aydogan Ozcan",
note = "Publisher Copyright: {\textcopyright} 2021 OSA.; 2021 Conference on Lasers and Electro-Optics, CLEO 2021 ; Conference date: 09-05-2021 Through 14-05-2021",
year = "2021",
month = may,
day = "1",
language = "English",
series = "2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings",
address = "United States",
}