Relationship between dermal birefringence and the skin surface roughness of photoaged human skin

2009 ◽  
Vol 14 (4) ◽  
pp. 044032 ◽  
Author(s):  
Shingo Sakai ◽  
Noriaki Nakagawa ◽  
Masahiro Yamanari ◽  
Arata Miyazawa ◽  
Yoshiaki Yasuno ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Human Skin ◽  
Skin Surface ◽  
Skin Surface Roughness

Quantitative Evaluation of Skin Surface Roughness Using Optical Coherence Tomography In Vivo

2019 ◽  
Vol 25 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Sanzhar Askaruly ◽  
Yujin Ahn ◽  
Hyeongeun Kim ◽  
Andrey Vavilin ◽  
Sungbea Ban ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Optical Coherence Tomography ◽  
Quantitative Evaluation ◽  
Skin Surface ◽  
Optical Coherence ◽  
Skin Surface Roughness

Objective measurements of skin surface roughness after microdermabrasion treatment

2017 ◽  
Vol 23 (3) ◽  
pp. 346-353
Author(s):  
A. Zapletalova ◽  
V. Pata ◽  
R. Janis ◽  
K. Kejlova ◽  
P. Stoklasek
Keyword(s):  
Surface Roughness ◽  
Skin Surface ◽  
Objective Measurements ◽  
Skin Surface Roughness

Development of a Biomimetic Vibrotactile Sensor for Dynamic Deformation With an Array of Polymer Structures

2015 ◽  
Author(s):  
Jae Young Choi ◽  
Baek Chul Kim ◽  
Ja Choon Koo
Keyword(s):  
Surface Roughness ◽  
Human Skin ◽  
Dynamic Deformation ◽  
Skin Surface ◽  
Electrical Signal ◽  
Point Of View ◽  
Static Deformation ◽  
Skin Deformation ◽  
Vibration Sensing ◽  
Finger Skin

Humans can discriminate surface roughness using fingertip’s touch. It is believed that surface roughness is perceived by static and dynamic deformation of human skin. Recent findings have shown that subcutaneous slowly adapting mechanoreceptor (SA) detect static deformation of finger skin. However, there are difficulties to infinitely increase density of SA in limited skin space. [1] So, we focused on dynamic deformation is related with rapidly adapting mechanoreceptor (RA). In the process of scanning surface of objects with fingertips, RA detects vibrations induced by skin deformation. In this study, we suggest that sensors mimicking roles of RA can detect surface roughness. We used a polymer having similar characteristics of skin surface that transduce physical vibrations into electrical signal. And an array of polymer structures discriminates surface roughness. In other researches, they were tried to use one mechanoreceptor to acquire total range of vibrations. From the point of view which RAs have different vibration sensing ranges, we divided range of vibration through polymer structures and analyzed frequency element.

Eliminating the effect of bulk scattering when measuring skin surface roughness using speckle contrast: a skin phantom study

2012 ◽  
Author(s):  
Lioudmila Tchvialeva ◽  
Igor Markhvida ◽  
David I. McLean ◽  
Harvey Lui ◽  
Haishan Zeng ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Skin Surface ◽  
Phantom Study ◽  
Speckle Contrast ◽  
Bulk Scattering ◽  
Skin Surface Roughness

Effect of Surface Roughness on Single Cryogen Droplet Spreading

2008 ◽  
Vol 130 (4) ◽  
Author(s):  
Jie Liu ◽  
Walfre Franco ◽  
Guillermo Aguilar
Keyword(s):  
Surface Roughness ◽  
Human Skin ◽  
Droplet Diameter ◽  
Skin Surface ◽  
Skin Layer ◽  
Droplet Spreading ◽  
Viscous Boundary Layer ◽  
Superficial Skin ◽  
The Impact ◽  
Effect Of Surface

Cryogen spray cooling is an auxiliary procedure to dermatologic laser surgery, which consists of precooling the superficial skin layer (epidermis) during laser irradiation of subsurface targets to avoid nonspecific epidermal thermal damage. While previous studies have investigated the interaction of cryogen sprays with microscopically smooth human skin models, it is important to recognize that real human skin surface is far from smooth. With the objective to provide physical insight into the interaction between cryogen sprays and human skin, we study the effect of surface roughness on the impact dynamics of single cryogen droplets falling on skin models of various roughnesses (0.5–70μm). We first develop a theoretical model to predict the maximum spread diameter (Dm) following droplet impingement based on a similarity approximation to the solution of a viscous boundary layer that incorporates friction as the major source of viscous dissipation on a rough surface. Then, we measure the droplet diameter, impact velocity, and Dm of cryogen droplets falling by gravity onto skin models. Experimental data prove that the proposed model predicts Dm with good accuracy, suggesting that the effects of surface roughness and friction on Dm are properly taken into account for the range of surface roughness studied herein.

scholarly journals Diversity of dermal denticle structure in sharks: Skin surface roughness and three-dimensional morphology

2018 ◽  
Vol 279 (8) ◽  
pp. 1132-1154 ◽  
Author(s):  
Madeleine V. Ankhelyi ◽  
Dylan K. Wainwright ◽  
George V. Lauder
Keyword(s):  
Surface Roughness ◽  
Three Dimensional ◽  
Skin Surface ◽  
Dermal Denticle ◽  
Skin Surface Roughness
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