Stimulated Raman scattering (SRS) microscopy and deep learning: a novel pharmacokinetic approach for evaluation of topical bioequivalence

Fotis Iliopoulos; Isaac J. Pence; Priyanka Ghosh; Sam G. Raney; Markham C. Luke; Conor L. Evans

doi:10.1117/12.2649179

17 March 2023 Stimulated Raman scattering (SRS) microscopy and deep learning: a novel pharmacokinetic approach for evaluation of topical bioequivalence

Fotis Iliopoulos, Isaac J. Pence, Priyanka Ghosh, Sam G. Raney, Markham C. Luke, Conor L. Evans

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Proceedings Volume 12357, Visualizing and Quantifying Drug Distribution in Tissue VII; 1235706 (2023) https://doi.org/10.1117/12.2649179
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

The bioequivalence of pharmaceutical formulations is typically demonstrated by assessing the pharmacokinetics (PK) of a generic product relative to a reference listed drug (RLD) product. However, for topical products applied to the skin, it has been historically challenging to quantify the drug concentration at the target site of action, and therefore the applicability of the PK-based approach has been limited. Here, we present a novel approach based on stimulated Raman scattering imaging and data processing via deep learning for image feature extraction and automated analysis of cutaneous PK parameters, which also enables the imaging of drug distribution in real time.

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Fotis Iliopoulos, Isaac J. Pence, Priyanka Ghosh, Sam G. Raney, Markham C. Luke, and Conor L. Evans "Stimulated Raman scattering (SRS) microscopy and deep learning: a novel pharmacokinetic approach for evaluation of topical bioequivalence", Proc. SPIE 12357, Visualizing and Quantifying Drug Distribution in Tissue VII, 1235706 (17 March 2023); https://doi.org/10.1117/12.2649179

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KEYWORDS

Skin

Raman scattering

Microscopy

Tissues

Plasma

Real time imaging

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