Su Joshua Weiming, Wang Qiang, Tian Yao, Madden Leigh, Ling Teo Erica Mei, Becker David Laurence, Liu Quan
School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Drive, 637459, Singapore.
NTU Institute for Health Technologies, Interdisciplinary Graduate School, Nanyang Technological University, Singapore.
Biomed Opt Express. 2019 Nov 6;10(12):6114-6128. doi: 10.1364/BOE.10.006114. eCollection 2019 Dec 1.
Raman spectroscopy has demonstrated great potential for skin wound assessment. Given that biochemical changes in wound healing is depth dependent as the skin is a layered structure, depth sensitive Raman spectroscopy could enhance the power of Raman spectroscopy in this application. Considering the critical importance of rodent studies in the field of skin wound assessment, it is necessary to develop and validate a system that can perform depth sensitive measurements in rat skin with a proper target depth range. In this manuscript, we report the design, optimization and evaluation of a new snapshot depth-sensitive Raman instrument for rat skin measurements. The optical design and optimization process are presented first. The depth sensitive measurement performance is characterized on both porcine skin with a gradient of layer thickness and rat skin samples with wounds. The statistical analysis of the measured Raman spectra demonstrates the feasibility of differentiation between the wound edge and healthy skin. Moreover, the accuracy of classification improves monotonically as more data from new depths are used, which implies that each depth offers additional information useful for classification. This instrument demonstrates the ability to perform snapshot depth sensitive Raman measurements from rat skin, which paves the way towards preclinical studies of rat skin wounds.
拉曼光谱在皮肤伤口评估方面已展现出巨大潜力。鉴于皮肤是分层结构,伤口愈合过程中的生化变化与深度相关,深度敏感拉曼光谱可增强拉曼光谱在此应用中的效能。考虑到啮齿动物研究在皮肤伤口评估领域的关键重要性,有必要开发并验证一种能够在大鼠皮肤中进行适当目标深度范围内深度敏感测量的系统。在本论文中,我们报告了一种用于大鼠皮肤测量的新型快照深度敏感拉曼仪器的设计、优化及评估。首先介绍了光学设计和优化过程。在具有层厚梯度的猪皮和有伤口的大鼠皮肤样本上对深度敏感测量性能进行了表征。对测得的拉曼光谱进行的统计分析证明了区分伤口边缘和健康皮肤的可行性。此外,随着使用来自新深度的更多数据,分类准确性单调提高,这意味着每个深度都提供了对分类有用的额外信息。该仪器展示了对大鼠皮肤进行快照深度敏感拉曼测量的能力,为大鼠皮肤伤口的临床前研究铺平了道路。