Kernel principle component analysis applied to Raman spectra to differentiate drugs administered to rabbit cornea in blind study

Sean P. O'Connor; Eddie M. Gil; Mark A. Keppler; Marlan O. Scully; Vladislav V. Yakovlev

doi:10.1117/12.2546431

19 February 2020 Kernel principle component analysis applied to Raman spectra to differentiate drugs administered to rabbit cornea in blind study

Sean P. O'Connor, Eddie M. Gil, Mark A. Keppler, Marlan O. Scully, Vladislav V. Yakovlev

Author Affiliations +

Proceedings Volume 11219, Visualizing and Quantifying Drug Distribution in Tissue IV; 1121907 (2020) https://doi.org/10.1117/12.2546431
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Scanning confocal Raman spectroscopy was applied for detecting and identifying topically applied ocular pharmaceuticals on rabbit corneal tissue. Raman spectra for Cyclosporin A, Difluprednate, and Dorzolamide were acquired together with Raman spectra from rabbit corneas with an unknown amount of applied drug. Kernel principle component analysis (KPCA) was then used to explore a transform that can describe the acquired set of Raman spectra. Using this transform, we observe some spectral similarity between cornea spectra and Cyclosporin A, with little similarity to Dorzolamide and Difluprednate. Further investigation is needed to identify why these differences occur.

Citation Download Citation

Sean P. O'Connor, Eddie M. Gil, Mark A. Keppler, Marlan O. Scully, and Vladislav V. Yakovlev "Kernel principle component analysis applied to Raman spectra to differentiate drugs administered to rabbit cornea in blind study", Proc. SPIE 11219, Visualizing and Quantifying Drug Distribution in Tissue IV, 1121907 (19 February 2020); https://doi.org/10.1117/12.2546431

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