Ultraviolet photoacoustic remote sensing and scattering microscopy for CycleGAN-enabled realistic virtual histology

Matthew T. Martell; Nathaniel J. M. Haven; Ewan A. McAlister; Brendon S. Restall; Brendyn D. Cikaluk; Rohan Mittal; Benjamin A. Adam; Nadia Giannakopoulos; Lashan Peiris; Sveta Silverman; Jean Deschenes; Xingyu Li; Roger J. Zemp

doi:10.1117/12.2671022

11 August 2023 Ultraviolet photoacoustic remote sensing and scattering microscopy for CycleGAN-enabled realistic virtual histology

Matthew T. Martell, Nathaniel J. M. Haven, Ewan A. McAlister, Brendon S. Restall, Brendyn D. Cikaluk, Rohan Mittal, Benjamin A. Adam, Nadia Giannakopoulos, Lashan Peiris, Sveta Silverman, Jean Deschenes, Xingyu Li, Roger J. Zemp

Author Affiliations +

Proceedings Volume 12631, Opto-Acoustic Methods and Applications in Biophotonics VI; 126310C (2023) https://doi.org/10.1117/12.2671022
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

Ultraviolet photoacoustic remote sensing microscopy provides label-free optical absorption contrast comparable to hematoxylin staining. This has been combined with 266 nm optical scattering microscopy offering eosin-like contrast. Here, we use unsupervised deep learning-based style transfer using the CycleGAN approach to render these pseudo-colored virtual histological images in a realistic stain style comparable to the H&E gold standard in unstained human and murine tissue specimens. A multi-pathologist diagnostic concordance study found a sensitivity of 89%, specificity of 91%, and accuracy of 90%. A blinded subjective stain quality survey suggested virtual histology was preferred over frozen sections at the 95% confidence level.

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Matthew T. Martell, Nathaniel J. M. Haven, Ewan A. McAlister, Brendon S. Restall, Brendyn D. Cikaluk, Rohan Mittal, Benjamin A. Adam, Nadia Giannakopoulos, Lashan Peiris, Sveta Silverman, Jean Deschenes, Xingyu Li, and Roger J. Zemp "Ultraviolet photoacoustic remote sensing and scattering microscopy for CycleGAN-enabled realistic virtual histology", Proc. SPIE 12631, Opto-Acoustic Methods and Applications in Biophotonics VI, 126310C (11 August 2023); https://doi.org/10.1117/12.2671022

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