Label-free automated whole slide imaging system for histopathological assessment of tissue with total absorption photoacoustic remote sensing (Conference Presentation)

James Tweel; Benjamin R. Ecclestone; Marian Boktor; Kevan Bell; Parsin Haji-Reza

doi:10.1117/12.2650201

16 March 2023 Label-free automated whole slide imaging system for histopathological assessment of tissue with total absorption photoacoustic remote sensing (Conference Presentation)

James Tweel, Benjamin R. Ecclestone, Marian Boktor, Kevan Bell, Parsin Haji-Reza

Author Affiliations +

Proceedings Volume PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023; PC123910O (2023) https://doi.org/10.1117/12.2650201
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Histological analysis is crucial for the diagnosis of a wide variety of diseases. However, labelling of thin tissue sections can alter tissue chemistry and is greatly influenced by pre-analytic variables. Furthermore, biopsies provide a limited number of tissue sections and thus stains must be used sparingly. Total Absorption Photoacoustic Remote Sensing (TA-PARS) is an all-optical and label-free technique capable of capturing both radiative and non-radiative endogenous contrasts in cells, tissues and biomolecules. Here we present an automated full-slide TA-PARS scanning system capable of providing label-free virtually stained whole slide images with sufficient resolution (~300nm) to recover subcellular diagnostic characteristics.

Conference Presentation

Citation Download Citation

James Tweel, Benjamin R. Ecclestone, Marian Boktor, Kevan Bell, and Parsin Haji-Reza "Label-free automated whole slide imaging system for histopathological assessment of tissue with total absorption photoacoustic remote sensing (Conference Presentation)", Proc. SPIE PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023, PC123910O (16 March 2023); https://doi.org/10.1117/12.2650201

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KEYWORDS

Absorption

Tissue optics

Tissues

Photoacoustic spectroscopy

Remote sensing

Imaging systems

Biopsy

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