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6 March 2023 Deep learning-based virtual staining of histological tissues
Kevin de Haan, Yair Rivenson, Aydogan Ozcan
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Proceedings Volume PC12369, Optics and Biophotonics in Low-Resource Settings IX; PC1236903 (2023) https://doi.org/10.1117/12.2666035
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Histochemical staining is traditionally performed using chemical labeling, which can be time consuming and expensive, particularly when multiple stains are needed. We present a technique which can be used to virtually stain histological tissues using deep learning. As this technique is performed computationally, multiple stains can be performed on each tissue, allowing pathologists to get more information out of a single tissue section. These stains can be performed using autofluorescence images of unlabeled tissue sections, or with scans of stained H&E stained tissues, which fits into existing pathology workflows. These stains have been validated in blind studies by board-certified pathologists.
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Kevin de Haan, Yair Rivenson, and Aydogan Ozcan "Deep learning-based virtual staining of histological tissues", Proc. SPIE PC12369, Optics and Biophotonics in Low-Resource Settings IX, PC1236903 (6 March 2023); https://doi.org/10.1117/12.2666035
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KEYWORDS
Tissues
Diagnostics
Multiplexing
Neural networks
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