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Phasor analysis of multiphoton spectral images distinguishes autofluorescence components of in vivo human skin
Author(s) -
Fereidouni Farzad,
Bader Arjen N.,
Colonna Anne,
Gerritsen Hans C.
Publication year - 2014
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201200244
Subject(s) - autofluorescence , stratum corneum , human skin , elastin , chemistry , in vivo , melanin , multispectral image , dermis , fluorescence , phasor , spectral imaging , biophysics , pathology , optics , biology , computer science , biochemistry , artificial intelligence , physics , medicine , power (physics) , microbiology and biotechnology , electric power system , quantum mechanics , genetics
Skin contains many autofluorescent components that can be studied using spectral imaging. We employed a spectral phasor method to analyse two photon excited autofluorescence and second harmonic generation images of in vivo human skin. This method allows segmentation of images based on spectral features. Various structures in the skin could be distinguished, including Stratum Corneum, epidermal cells and dermis. The spectral phasor analysis allowed investigation of their fluorescence composition and identification of signals from NADH, keratin, FAD, melanin, collagen and elastin. Interestingly, two populations of epidermal cells could be distinguished with different melanin content. (© 2014 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)