Automatic 3D segmentation of multiphoton images: a key step for the quantification of human skin

Multiphoton microscopy has emerged in the past decade as a useful noninvasive imaging technique for in vivo human skin characterization. However, it has not been used until now in evaluation clinical trials, mainly because of the lack of specific image processing tools that would allow the investigator to extract pertinent quantitative three‐dimensional (3D) information from the different skin components.