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利用光学相干断层扫描对人体皮肤等效物进行自动表皮厚度定量分析。

Automated epidermal thickness quantification of human skin equivalents using optical coherence tomography.

机构信息

Department of Bioengineering, University of California, Riverside, CA 92521, USA.

出版信息

Biotechniques. 2022 May;72(5):194-200. doi: 10.2144/btn-2021-0123. Epub 2022 Mar 15.

Abstract

Human skin equivalents (HSEs) are models of human skin. They are used to study skin development, diseases, wound healing and toxicity. The gold standard of analysis is histological sectioning, which both limits three-dimensional assessment of the tissue and prevents live culture monitoring. Optical coherence tomography (OCT) has previously been used to visualize human skin and models. OCT is noninvasive and enables real-time volumetric analysis of HSEs. The techniques presented here demonstrate the use of OCT imaging to track HSE epidermal thickness over 8 weeks of culture and improve upon previous processing of OCT images by presenting algorithms that automatically quantify epidermal thickness. Through volumetric automated analysis, HSE morphology can be accurately tracked in real time.

摘要

人体皮肤等效物(HSEs)是人体皮肤的模型。它们被用于研究皮肤发育、疾病、伤口愈合和毒性。分析的金标准是组织学切片,这既限制了对组织的三维评估,也阻止了对活培养物的监测。光相干断层扫描(OCT)以前曾被用于可视化人体皮肤和模型。OCT 是一种非侵入性的技术,能够实时对 HSE 进行容积分析。本文介绍的技术展示了使用 OCT 成像来跟踪 HSE 表皮厚度在 8 周培养过程中的变化,并通过提出自动量化表皮厚度的算法来改进 OCT 图像的处理,这些算法提高了 OCT 图像的处理效果。通过自动容积分析,可以实时准确地跟踪 HSE 形态。

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