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Generation of Self-assembled Vascularized Human Skin Equivalents

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Age-dependent changes in skin surface assessed by a novel two-dimensional image analysis.

Yaobin Zou¹, Enmin Song, Renchao Jin

¹College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China.

Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)

|October 17, 2009

Summary

A new parameter, skin surface texture area mean (SPm), quantifies skin aging effectively. This method, using specialized software, offers a reliable tool for routine skin health assessments.

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Area of Science:

Dermatology
Biophysics
Image Analysis

Background:

Skin microrelief analysis traditionally requires lengthy processing or expensive equipment, limiting routine diagnostic use.
Emerging software and hardware technologies present opportunities to overcome these limitations in skin analysis.

Purpose of the Study:

To introduce and validate a new objective parameter, SPm (skin surface texture area mean), for characterizing skin surface topography.
To develop and implement automated software for acquiring skin images and calculating SPm.
To investigate the relationship between SPm and age in different sun-exposed and sun-protected forearm areas.

Main Methods:

Developed automated software utilizing a skin detector to capture skin images and compute the SPm parameter.
Measured SPm on the dorsal (sun-exposed) and ventral (sun-protected) forearms of 94 healthy, non-smoking volunteers.
Analyzed the correlation between SPm values and participant age, considering sex and sun exposure.

Main Results:

The SPm parameter provides a convenient method for quantifying skin surface topography.
SPm values demonstrated an increase with age at both forearm sites, irrespective of sex.
The sun-exposed area exhibited a more pronounced age-related increase in SPm compared to the sun-protected area.

Conclusions:

The developed software enables detailed observation of skin surface characteristics.
SPm is a valid new parameter for assessing skin surface properties, particularly skin aging.
This SPm-based methodology holds potential for routine dermatological diagnosis and quantified skin aging evaluation, possibly in conjunction with other skin topography analysis techniques.