基于光学相干层析的生物3D打印人工皮肤量化分析

doi:10.3969/j.issn.0258-8021.2020.02.09

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Abstract The non-destructive quantitative detection and analysis of the artificial skin three-dimensional features is a key problem to be solved in the research of skin printing and induced culture technology. This paper used spectral domain optical coherence tomography (SD-OCT) to perform non-destructive imaging and quantitative analysis on biological 3D printed artificial skin. The adaptive peak detection algorithm based on OCT intensity signal quantified skin three-dimensional thickness distribution and roughness variation. The overall thickness of the skin at the location and its fluctuation quantitatively visualized the spatially resolved structural features of the skin. The structural characteristics of OCT imaging artificial skin were consistent with the results of sliced hematoxylin and eosin (H&E) staining. The difference between the two measured skin thicknesses was only 3.59 μm, which verified the feasibility and accuracy of the method. Through the continuous detection of artificial skin in the culture period by SD-OCT, the two-dimensional artificial skin thickness distribution detection can show the thickness growth curve of the skin at different culture time, and the three-dimensional spatial resolution thickness distribution map and surface roughness map can be more visually show skin growth status. Quantitative statistical results show that during the gas-liquid culture, the overall average thickness of the artificial skin is constantly increasing and stabilizes. When the skin matures, the overall average thickness is 83.91 μm. The surface roughness of the skin first decreases and then increases with the change of keratinization. Therefore, the method based on OCT intensity signal quantitative analysis can truly and effectively reflect the structural parameter changes of biological 3D printed artificial skin, which provides a reliable monitoring method for quality assessment in artificial skin preparation.

Key words： optical coherence tomography (OCT) artificial skin adaptive peak monitoring skin thickness roughness

Received: 17 September 2019

PACS:

R318

Corresponding Authors: ^*E-mail: lingw@hdu.edu.cn;xumingen@hdu.edu.cn

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	Articles by authors
	Hu Jie
	Wang Ling
	Xu Mingen
	Wang Zhongkun

Cite this article:

Hu Jie,Wang Ling,Xu Mingen, et al. Quantitative Analysis of Biological 3D Printed Artificial Skin Using Optical Coherence Tomography[J]. Chinese Journal of Biomedical Engineering, 2020, 39(2): 197-205.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2020.02.09 OR http://cjbme.csbme.org/EN/Y2020/V39/I2/197

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