Label-free photon absorption remote sensing (PARS) histopathology in unprocessed tissues

Benjamin R. Ecclestone; James Tweel; Marian Boktor; Deepak Dinakaran; John Mackey; Parsin Haji Reza

doi:10.1117/12.3001726

13 March 2024 Label-free photon absorption remote sensing (PARS) histopathology in unprocessed tissues

Benjamin R. Ecclestone, James Tweel, Marian Boktor, Deepak Dinakaran, John Mackey, Parsin Haji Reza

Proceedings Volume PC12842, Photons Plus Ultrasound: Imaging and Sensing 2024; PC1284209 (2024) https://doi.org/10.1117/12.3001726
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

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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Citation Download Citation

Benjamin R. Ecclestone, James Tweel, Marian Boktor, Deepak Dinakaran, John Mackey, and 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

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KEYWORDS

Tissues

Light absorption

Photodetectors

Remote sensing

Biomolecules

Histopathology

Diagnostics

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