Deep learning-based transformation of H&E stained tissues into special stains

Kevin de Haan
Yijie Zhang
Jonathan E. Zuckerman
Tairan Liu
Anthony E. Sisk
Miguel F. P. Diaz
Kuang-Yu Jen
Alexander Nobori
Sofia Liou
Sarah Zhang
Rana Riahi
Yair Rivenson
W. Dean Wallace
Aydogan Ozcan

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Publication date

August 2021

DOI

10.1038/s41467-021-25221-2

Publisher

Springer Science and Business Media LLC

Journal

Nature Communications

Abstract

Performing multiple histological stains on a biopsy can be costly and time consuming. Here the authors present a method for the digital transformation of H&E stained tissue into special stains (e.g., PAS, Masson’s Trichrome and Jones silver stain), and demonstrate that it improves diagnoses over the use of H&E only

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Deep learning-based transformation of H&E stained tissues into special stains

Abstract

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Deep learning-based transformation of H&E stained tissues into special stains

Abstract

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