Nathaniel J. M. Haven,1 Matthew T. Martell,1 Brendyn D. Cikaluk,1 Brendon S. Restallhttps://orcid.org/0000-0001-6410-7657,1 Ewan McAlister,1 Roger J. Zemp,1 Sveta Silverman,1 Lashan Peiris,1 Jean Deschenes,1 Xingyu Li1
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Currently, there is an inability to obtain fast realistic label-free virtual histopathological images of tissues. We previously introduced ultraviolet photoacoustic remote sensing microscopy as a method to obtain virtual hematoxylin contrast albeit without the ability to obtain virtual eosin contrast. By utilizing UV scattering as a high-resolution eosin channel we are able to produce complete H&E-like virtual histology of unstained human breast lumpectomy specimen sections. By further leveraging a novel colormap matching algorithm with this UV scattering, we generate H&E-like output that is shown to have strong concordance with true H&E-stained adjacent sections, showing promising diagnostic utility.
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Nathaniel J. M. Haven, Matthew T. Martell, Brendyn D. Cikaluk, Brendon S. Restall, Ewan McAlister, Roger J. Zemp, Sveta Silverman, Lashan Peiris, Jean Deschenes, Xingyu Li, "Ultraviolet scattering and photoacoustic remote sensing (sPARS) microscopy for virtual H&E histology," Proc. SPIE PC11960, Photons Plus Ultrasound: Imaging and Sensing 2022, PC1196005 (7 March 2022); https://doi.org/10.1117/12.2610317