Abstract
Cuticle step height is an important parameter for the quantitative assessment of human hair. This paper describes a novel, computational method for the rapid calculation of step heights from atomic force microscopy images obtained from large numbers of specimens. Such an approach is necessary to allow a statistical analysis of the inherently wide distribution of cuticle step heights characteristic of a single hair sample. The method described will be of use to cosmetic formulation chemists and forensic scientists and also to dermatologists in the field of disease diagnosis.
| Original language | English |
|---|---|
| Pages (from-to) | 223-228 |
| Number of pages | 6 |
| Journal | Journal of Microscopy |
| Volume | 191 |
| Issue number | 3 |
| Publication status | Published - 1998 |
