Abstract

In recent years, the emergence of a variety of novel optical microscopy techniques has enabled the generation of virtual optical stains of unlabeled tissue specimens, which have the potential to transform existing clinical histopathology workflows. In this work, we present a simultaneous deep ultraviolet transmission and scattering microscopy system that can produce virtual histology images that show concordance to conventional gold-standard histological processing techniques. The results of this work demonstrate the system’s diagnostic potential for characterizing unlabeled thin tissue sections and streamlining histological workflows.

© 2024 Optica Publishing Group

Virtual histopathology with ultraviolet scattering and photoacoustic remote sensing microscopy

Nathaniel J. M. Haven, Matthew T. Martell, Brendyn D. Cikaluk, Brendon S. Restall, Ewan McAlister, Sveta Silverman, Lashan Peiris, Jean Deschenes, Xingyu Li, and Roger J. Zemp
Opt. Lett. 46(20) 5153-5156 (2021)

Deep learning-assisted low-cost autofluorescence microscopy for rapid slide-free imaging with virtual histological staining

Ivy H. M. Wong, Zhenghui Chen, Lulin Shi, Claudia T. K. Lo, Lei Kang, Weixing Dai, and Terence T. W. Wong
Biomed. Opt. Express 15(4) 2187-2201 (2024)

Rapid ultraviolet photoacoustic remote sensing microscopy using voice-coil stage scanning

Brendyn D. Cikaluk, Brendon S. Restall, Nathaniel J. M. Haven, Matthew T. Martell, Ewan A. McAlister, and Roger J. Zemp
Opt. Express 31(6) 10136-10149 (2023)

Virtual hematoxylin and eosin histopathology using simultaneous photoacoustic remote sensing and scattering microscopy

Brendon S. Restall, Nathaniel J. M. Haven, Pradyumna Kedarisetti, Matthew T. Martell, Brendyn D. Cikaluk, Sveta Silverman, Lashan Peiris, Jean Deschenes, and Roger J. Zemp
Opt. Express 29(9) 13864-13875 (2021)

Ultraviolet photoacoustic remote sensing microscopy

Nathaniel J. M. Haven, Kevan L. Bell, Pradyumna Kedarisetti, John D. Lewis, and Roger J. Zemp
Opt. Lett. 44(14) 3586-3589 (2019)