A quantitative method for analysing AFM images of the outer surfaces of human hair.
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 microscope 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.
Scanning Probe Microscopy Laboratory, School of Pharmacy, Biomedical and Physical Sciences, University of Portsmouth, U.K.
J R
JR
Smith
D000704:Analysis of Variance; D006197:Hair / Q000648:ultrastructure*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D018625:Microscopy, Atomic Force / Q000379:methods*; D012535:Scalp / Q000648:ultrastructure