Scar tissue classification using nonlinear optical microscopy and discriminant analysis

Timothy Andrew Kelf, Martin Gosnell, Bjornar Sandnes, Anna E. Guller, Anatoly B. Shekhter, Andrei V. Zvyagin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


This paper addresses the scar tissue maturation process that occurs stepwise, and calls for reliable classification. The structure of collagen imaged by nonlinear optical microscopy (NLOM) in post-burn hypertrophic and mature scar, as well as in normal skin, appeared to distinguish these maturation steps. However, it was a discrimination analysis, demonstrated here, that automated and quantified the scar tissue maturation process. The achieved scar classification accuracy was as high as 96%. The combination of NLOM and discrimination analysis is believed to be instrumental in gaining insight into the scar formation, for express diagnosis of scar and surgery planning.

Original languageEnglish
Pages (from-to)159-167
Number of pages9
JournalJournal of Biophotonics
Issue number2
Publication statusPublished - Feb 2012


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