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Visualization and characterisation of defined hair follicle compartments by Fourier transform infrared (FTIR) imaging without labelling

Katherine Lau, Martin A.B. Hedegaard, Jennifer E. Kloepper, Ralf Paus, Bayden R. Wood, Volker Deckert*

*Corresponding author for this work

Abstract

Background: To visualise and characterise skin architecture, the tissue usually has to be destroyed and labelled. Objectives: The use of Fourier transform infrared (FTIR) spectroscopy as a label-free, minimally sample destructive method to define hair follicular structure has been explored and demonstrated in this paper. Methods: Human scalp skin cryosections were imaged using FTIR microscopy and the data was subsequently analysed with N-FINDR spectral unmixing algorithm. Results: This resulted in an excellent distinction of known hair follicle tissue layers, which could be discerned based on their molecular structure. Conclusion: The development of a minimally sample-destructive, label-free spectroscopy based technique that can differentiate layers of cells in the dermal papilla and connective tissue sheath in the mesenchyme of the hair follicle paves the way forward to identifying spectral markers important in wound healing and stem cell therapies.

Original languageEnglish
JournalJournal of Dermatological Science
Volume63
Issue number3
Pages (from-to)191-198
Number of pages8
ISSN0923-1811
DOIs
Publication statusPublished - 01.09.2011

Funding

The Perkin Elmer spectrometer was kindly provided by Dr. Michael Heise of ISAS Dortmund and generous help had been given by his group members. The advice from Dr. Melissa Mariani on spectral data analysis is highly appreciated. Financial support was provided by the Federal Ministry of Education and Research (BMBF) through the project ́Markerfreie Zelldiagnostik mit Nanometerauflösunǵ ( 0312032B ), Germany and the Alexander von Humboldt Foundation . Dr. Bayden Wood is supported by an Australian Research Council Discovery grant . Appendix A

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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