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Photon Absorption Remote Sensing (PARS) captures optical absorption (radiative and non-radiative) and scattering contrast facilitating label-free imaging of biomolecules. Presented here, a new automated multiwavelength PARS system is developed. Concurrently, intelligent signal processing explores PARS time-domain features. These contrasts form unique PARS feature vectors which highlight numerous biomolecules label-free. Combined with innovations in AI, PARS can produce virtual histology images which are effectively indistinguishable from current histochemical staining as demonstrated by clinical diagnostic equivalence studies. This represents a significant step towards developing a clinical system for label-free pathology of tissues, with the potential to provide molecular diagnostics in the future.
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Benjamin R. Ecclestone, James Tweel, Marian Boktor, Deepak Dinakaran, John Mackey, Parsin Haji Reza, "Label-free photon absorption remote sensing (PARS) histopathology in unprocessed tissues," Proc. SPIE PC12842, Photons Plus Ultrasound: Imaging and Sensing 2024, PC1284209 (13 March 2024); https://doi.org/10.1117/12.3001726