TY - JOUR
T1 - A Case Report on Skin Sebum Extraction Using High Lateral Resolution Spectral-Domain Optical Coherence Tomography
AU - Luna, Jannat Amrin
AU - Saleah, Sm Abu
AU - Kim, Hyunmo
AU - Kang, Dongwan
AU - Seong, Daewoon
AU - Kim, Yoonseok
AU - Kim, Hayoung
AU - Wijesinghe, Ruchire Eranga
AU - Kim, Jeehyun
AU - Jeon, Mansik
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2023/1
Y1 - 2023/1
N2 - Pores are the microscopic openings in the skin that emit oils and sweat. Pores can appear larger due to acne, sun damage, or increased sebum production, a waxy and oily substance that causes oily skin. Investigating and extracting sebum from facial pores is essential for treating skin issues as the enlargement of the pores causes higher susceptibility of the skin to microbe aggressions and inflammatory reactions. In this study, we assessed the volumetric size of pores before and after the sebum extraction using spectral domain optical coherence tomography (SD-OCT). To properly estimate the volume of the sebum before and after extraction, multiple cross-sectional OCT images were selected. The area of a single pixel was calculated from the OCT images using the scanning range. Furthermore, an algorithm was developed to use the pixel area to calculate the full volumetric size of the skin pore. This research illustrates the use of a high-resolution microscopic analysis using SD-OCT in dermatological research and can operate as a guideline for future research investigations in evaluating non-destructively wounded tissue analysis, underlying skin biochemistry, and facial statistical approaches in skin parameters for moisturizer treatment.
AB - Pores are the microscopic openings in the skin that emit oils and sweat. Pores can appear larger due to acne, sun damage, or increased sebum production, a waxy and oily substance that causes oily skin. Investigating and extracting sebum from facial pores is essential for treating skin issues as the enlargement of the pores causes higher susceptibility of the skin to microbe aggressions and inflammatory reactions. In this study, we assessed the volumetric size of pores before and after the sebum extraction using spectral domain optical coherence tomography (SD-OCT). To properly estimate the volume of the sebum before and after extraction, multiple cross-sectional OCT images were selected. The area of a single pixel was calculated from the OCT images using the scanning range. Furthermore, an algorithm was developed to use the pixel area to calculate the full volumetric size of the skin pore. This research illustrates the use of a high-resolution microscopic analysis using SD-OCT in dermatological research and can operate as a guideline for future research investigations in evaluating non-destructively wounded tissue analysis, underlying skin biochemistry, and facial statistical approaches in skin parameters for moisturizer treatment.
KW - OCT cross-sectional images
KW - skin pore volume
KW - skin sebum extraction
KW - skin tissue imaging
KW - spectral-domain optical coherence tomography (SD-OCT)
UR - http://www.scopus.com/inward/record.url?scp=85146852444&partnerID=8YFLogxK
U2 - 10.3390/photonics10010030
DO - 10.3390/photonics10010030
M3 - Article
AN - SCOPUS:85146852444
SN - 2304-6732
VL - 10
JO - Photonics
JF - Photonics
IS - 1
M1 - 30
ER -