Label-free virtual-histology of skin tissues using a Photoacoustic Remote Sensing (PARS) microscope is explored. The PARS captures optical absorption contrast facilitating label-free imaging of numerous biomolecules. Combined with AI-based image processing, PARS provides virtual histology images label-free directly from unprocessed tissues. The label-free contrast means several virtual stains may be applied to each tissue section. Subsequent results are explored in unprocessed human skin with basal cell carcinoma, and squamous cell carcinoma. Clinical comparison studies indicate there is similar diagnostic quality between the PARS and gold-standard histology preparations. This represents a significant milestone in the development of a clinically ready microscope for label-free skin cancer histology.
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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