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We present a novel microscopy technique called photoacoustic remote sensing combined with autofluorescence with surface excitation (PARS-AMUSE) to generate virtual hematoxylin and eosin (H&E) images with simultaneous metabolic measurements to predict cancer aggression. PARS uses absorption and scattering contrast for the virtual H&E images to visualize structural information, perform margin assessment and grade cancers. AMUSE utilizes the same light source used in PARS to excite NADH and FAD autofluorescence for quantifying the optical redox ratio (ORR), an important indicator of tissue metabolism. Using our system, we aim to differentiate receptor status and predict cancer aggression.
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Brendon S. Restall, Brendyn D. Cikaluk, Matthew M. Martell, Nathaniel J. M. Haven, Roger J. Zemp, "Photoacoustic remote sensing combined with autofluorescence surface excitation for virtual histology and metabolism imaging," Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC123791Q (9 March 2023); https://doi.org/10.1117/12.2649338