在IR显微镜成像中进行定量化学分析的校准
Eirik Almklov Magnussen1, Boris Zimmermann1, Simona Dzurendova2
1Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Akershus 1432, Norway.
Analytical chemistry
|October 6, 2025
概括
本研究引入了一种深度学习方法,用于使用红外显微光谱的定量化学分析. 它通过从较大的样本转移校准来实现小样本的准确测量.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 生物技术是生物技术.
背景情况:
- 红外光谱学为宏观样本提供快速,低成本的分析.
- 对微观红外光谱数据的定量分析是有限的.
- 来自红外显微光谱的空间分辨率化学信息具有挑战性.
研究的目的:
- 开发一种基于深度学习的方法,用于对高光谱红外图像进行定量化学分析.
- 为了使校准从宏观红外光谱模型转移到微观像素光谱.
- 用红外显微光谱学克服空间分辨率定量分析的局限性.
主要方法:
- 开发了一种基于深度学习的校准转移技术.
- 红外显微光谱数据被调整为宏观光谱的领域.
- 为批量测量而建立的回归模型应用于高光谱图像.
主要成果:
- 该方法成功地适应了宏观校准模型,用于微观光谱.
- 定量化学分析是直接从红外显微光谱测量中实现的.
- 该方法使用油性丝状真菌进行了验证,与气色谱脂质配置文件和葡萄糖胺含量相关联.
结论:
- 深度学习使量化红外显微光谱的校准转移成为可能.
- 这种方法为成像中的空间分辨率化学分析开辟了新的可能性.
- 这种方法对于分析像真菌这样的生物样本非常有价值.
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