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13 March 2024 Virtual histology with photon absorption remote sensing (PARS)
Benjamin R. Ecclestone, James E. D. Tweel, Deepak Dinakaran, John Mackey, Parsin Haji Reza
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Proceedings Volume PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024; PC128540L (2024) https://doi.org/10.1117/12.3002980
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
The latest innovations in label-free virtual-histology using Photon Absorption Remote Sensing (PARS) are presented. PARS captures endogenous absorption (radiative and non-radiative) and scattering contrasts, enabling label-free biomolecule specific imaging. Combined with innovations in AI and signal processing, PARS provides several label-free virtual histochemical stains (e.g., H&E, T-blue) directly from a single scan of an unprocessed tissue specimen. Results validated through clinical efficacy studies indicate that PARS virtual staining is diagnostically indistinguishable from gold standard chemical histology. This represents a crucial milestone in deploying PARS as an alternative to standard histopathology.
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Benjamin R. Ecclestone, James E. D. Tweel, Deepak Dinakaran, John Mackey, and Parsin Haji Reza "Virtual histology with photon absorption remote sensing (PARS)", Proc. SPIE PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024, PC128540L (13 March 2024); https://doi.org/10.1117/12.3002980
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KEYWORDS
Light absorption
Photodetectors
Remote sensing
Tissues
Diagnostics
Biological samples
Chemical analysis
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