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 language | English |
|---|---|
| Journal | Journal of Dermatological Science |
| Volume | 63 |
| Issue number | 3 |
| Pages (from-to) | 191-198 |
| Number of pages | 8 |
| ISSN | 0923-1811 |
| DOIs | |
| Publication status | Published - 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)
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SDG 3 Good Health and Well-being
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