Benjamin R. Ecclestonehttps://orcid.org/0000-0003-1726-8161,1 James Tweel,1 Marian Boktor,1 Krystal Li,1 Lixin Chu,1 Hager Gaouda,2 Kevan Bell,1 Deepak Dinakaran,3 John Mackey,3 Parsin Haji Reza1
1Univ. of Waterloo (Canada) 2illumiSonics Inc. (Canada) 3Univ. of Alberta (Canada)
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An automated label-free virtual histology microscope using Photoacoustic Remote Sensing (PARS) microscopy is presented. This device features an optimized architecture providing additional contrasts, and enhancements in image quality and SNR over previous PARS virtual histology embodiments. Concurrently, developments in software and signal processing enable automated scanning of tissue specimens within minutes. Finally, AI-based virtual staining facilitates visualizations analogous to current histochemical staining. The diagnostic utility is demonstrated in unprocessed human tissues. Results validated through clinical efficacy studies demonstrate comparable contrast and diagnostic quality to gold standard histological preparations. This represents a significant step towards a clinical system for virtual pathology.
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Benjamin R. Ecclestone, James Tweel, Marian Boktor, Krystal Li, Lixin Chu, Hager Gaouda, Kevan Bell, Deepak Dinakaran, John Mackey, Parsin Haji Reza, "Virtual histology with total-absorption photoacoustic remote sensing microscopy (Conference Presentation)," Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC123791W (9 March 2023); https://doi.org/10.1117/12.2650986