Kernel principle component analysis applied to Raman spectra to differentiate drugs administered to rabbit cornea in blind study
Kernel principle component analysis applied to Raman spectra to differentiate drugs administered to rabbit cornea in blind study
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DOI:
10.1117/12.2546431
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发表时间:
2020-02
影响因子:
1.7
通讯作者:
Sean P. O’Connor;E. Gil;Mark A Keppler;M. Scully;V. Yakovlev
中科院分区:
文献类型:
--
作者:
Sean P. O’Connor;E. Gil;Mark A Keppler;M. Scully;V. Yakovlev
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.