为了在体外应用中实现双波长拉曼光谱的自动化标准文物消除
Wenyi Xu1,2, Renzhe Bi1, Yi Qi1
1A*STAR Skin Research Laboratories (A*SRL), 31 Biopolis Way, Singapore 138669, Singapore.
Analytical chemistry
|October 24, 2025
概括
这项研究引入了一种自动化的数字工作流程,以从皮肤的共聚焦拉曼光谱中去除以太子文物. 该方法通过保存关键的光谱数据,提高了化学分析的准确性,特别是对于有色素的皮肤.
科学领域:
- 生物医学光学 生物医学光学
- 频谱学是一种光谱学.
- 皮肤病学 皮肤病学
背景情况:
- 孔焦拉曼光谱法为人类皮肤提供了非侵入性化学分析.
- 由干扰引起的Etalon工件阻碍了光谱数据的准确性,特别是在有色素的皮肤中.
- 目前的方法往往需要人工干预或校准,这限制了实际应用.
研究的目的:
- 开发一个自动化的数字处理工作流程,用于识别和消除人类皮肤的共聚焦拉曼光谱中的标准文物.
- 为了应对亚洲人群中常见的颜色皮肤中光谱工件去除的挑战.
- 确保保存必要的光谱特征,以便准确地进行皮肤分析.
主要方法:
- 使用双波长激发拉曼系统来产生一致的边缘图案.
- 独立组件分析 (ICA) 和连续波纹转换 (CWT) 结合用于文物识别和移除.
- 工作流程在没有额外校准或手动参数调整的情况下运行.
主要成果:
- 开发的工作流有效地识别并从体内拉曼光谱中删除了以图标文物.
- 在各种皮肤样本中实现了高精度的文物消除.
- 详细皮肤分析所需的关键光谱特征被成功保存.
结论:
- 自动化数字处理工作流提供了一个强大的解决方案,用于皮肤的共聚焦拉曼光谱法中以太标文物去除.
- 这种方法显著提高了非侵入性皮肤化学分析的准确性和可靠性,特别是对于有色素皮肤等具有挑战性的样本.
- 这些发现为皮肤学研究和临床应用中先进的,自动化的光谱数据处理奠定了基础.
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