Virtual HER2 staining of label-free breast tissue using autofluorescence imaging and deep learning

Bijie Bai; Hongda Wang; Yuzhu Li; Kevin de Haan; Francesco Colonnese; Morgan Angus Darrow; Elham Kamangar; Han Sung Lee; Yair Rivenson; Aydogan Ozcan

doi:10.1117/12.2648173

6 March 2023 Virtual HER2 staining of label-free breast tissue using autofluorescence imaging and deep learning

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

Author Affiliations +

Proceedings Volume PC12368, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI; PC123680J (2023) https://doi.org/10.1117/12.2648173
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

We present a virtual immunohistochemical (IHC) staining method based on label-free autofluorescence imaging and deep learning. Using a trained neural network, we transform multi-band autofluorescence images of unstained tissue sections to their bright-field equivalent HER2 images, matching the microscopic images captured after the standard IHC staining of the same tissue sections. Three pathologists’ blind evaluations of HER2 scores based on virtually stained and IHC-stained whole slide images revealed the statistically equivalent diagnostic values of the two methods. This virtual HER2 staining method provides a rapid, accurate, and low-cost alternative to the standard IHC staining methods and allows tissue preservation.

Conference Presentation

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Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, and Aydogan Ozcan "Virtual HER2 staining of label-free breast tissue using autofluorescence imaging and deep learning ", Proc. SPIE PC12368, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI, PC123680J (6 March 2023); https://doi.org/10.1117/12.2648173

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