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Authors
de Haan, Kevin https://orcid.org/0000-0002-7802-3857
Zhang, Yijie
Zuckerman, Jonathan E.
Liu, Tairan
Sisk, Anthony E.
Diaz, Miguel F. P.
Jen, Kuang-Yu https://orcid.org/0000-0003-2815-5912
Nobori, Alexander
Liou, Sofia
Zhang, Sarah https://orcid.org/0000-0001-5169-9577
Riahi, Rana
Rivenson, Yair https://orcid.org/0000-0003-1132-0715
Wallace, W. Dean https://orcid.org/0000-0002-9850-9723
Ozcan, Aydogan https://orcid.org/0000-0002-0717-683X
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Funding
Funding for this research was provided by:
National Science Foundation
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Article History
Received: 9 September 2020
Accepted: 29 July 2021
First Online: 12 August 2021
Competing interests
: Y.R. and A.O. are co-inventors of a pending patent application US20210043331A1, which covers the use of label-free autofluorescence images to generate virtually stained images. K.d.H., Y.Z., Y.R., and A.O. have a pending patent application (PCT/US2020/066708), which covers the use of the stain transformation network and the use of multiple stains being performed through a single neural network. K.d.H., Y.R., W.D.W., and A.O. have a financial interest in the commercialization of deep learning-based tissue staining. J.E.Z. is a paid consultant for Leica Biosystems. The remaining authors declare no competing interests.
