16 March 2023Prostate needle biopsy metabolic analysis and virtual H&E microscopy using photoacoustic remote sensing and autofluorescence microscopy (Conference Presentation)
Brendon S. Restallhttps://orcid.org/0000-0001-6410-7657,1 Brendyn D. Cikaluk,1 Matthew M. Martell,1 Nathaniel J. M. Haven,1 Adam Kinnaird,1 Roger J. Zemp1
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We present photoacoustic remote sensing and autofluorescence microscopy with surface excitation (PARS-AMUSE) system that combines several methodologies of optical imaging including absorption, scattering and radiative emission. We generate virtual hematoxylin and eosin (H&E) images from absorption and scattering data using a generative adversarial network for margin assessment and cancer grading with simultaneous metabolic measurements from the autofluorescence of NADH and FAD. This system utilizes a single excitation source for all three imaging modalities to minimize complexity and cost. Using this system, we aim to profile specific cancers and predict cancer aggression.
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Brendon S. Restall, Brendyn D. Cikaluk, Matthew M. Martell, Nathaniel J. M. Haven, Adam Kinnaird, Roger J. Zemp, "Prostate needle biopsy metabolic analysis and virtual H&E microscopy using photoacoustic remote sensing and autofluorescence microscopy (Conference Presentation)," Proc. SPIE PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023, PC123910P (16 March 2023); https://doi.org/10.1117/12.2650688