Phasor analysis of multiphoton spectral images distinguishes autofluorescence components of in vivo human skin

F. Fereidouni, A.N. Bader, A. Colonna, H.C. Gerritsen

Research output: Contribution to journalArticleAcademicpeer-review

43 Citations (Scopus)

Abstract

Skin contains many autofluorescent components that can be studied using spectral imaging. We employed a spectral phasor method to analyse two photon excited auto-fluorescence 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.
Original languageEnglish
Pages (from-to)589-596
JournalJournal of Biophotonics
Volume7
Issue number8
DOIs
Publication statusPublished - 2014

Keywords

  • mouse skin
  • microscopy
  • tomography
  • resolution
  • collagen
  • nad(p)h
  • tissues

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