超光谱成像的应用,以区分COPD和正常的肺组织在小鼠肺部 histopathological部分
Zongtong Yang1, Wenjuan Zhang2, Aijun Zhang3
1Shandong Academy of Chinese Medicine, Jinan, Shandong, China.
Journal of biophotonics
|February 3, 2026
概括
超光谱成像 (HSI) 可以使用光学特征区分慢性阻塞性肺病 (COPD) 和正常的肺组织. 这种无标签的方法准确地识别了病理变化,有助于评估呼吸系统疾病.
科学领域:
- 生物医学光学 生物医学光学
- 肺部病理学 肺部病理学
- 医学成像分析 医学成像分析
背景情况:
- 慢性阻塞性肺病 (COPD) 诊断依赖于临床评估和成像,往往缺乏定量光学见解.
- 目前对肺组织的病理评估可能是主观的,耗时的.
- 需要客观,无标签的方法来检测肺组织中微妙的病理变化.
研究的目的:
- 评估超光谱成像 (HSI) 作为一种无标签的定量工具,用于区分COPD与正常小鼠肺组织.
- 为了识别患病的肺组织独特的内在光学特征.
- 确定HSI在病理诊断和定量呼吸道疾病评估方面的潜力.
主要方法:
- 从嵌入的小鼠肺部部分获取高分辨率HSI数据 (400-1000纳米).
- 主要组件分析 (PCA) 的应用,以减少光谱数据的维度.
- 使用部分最小方程差异分析 (PLS-DA) 和支持向量机 (SVM) 来进行分类.
主要成果:
- 在COPD和正常肺组织之间观察到显著的光谱差异,特别是在血红蛋白和吸水带.
- 实现了准确的歧视,分类性能超过93%.
- HSI成功捕获了微妙的病理变化,证明了它的灵敏度.
结论:
- 超光谱成像是一种非破坏性和客观的模式,用于区分肺组织病理.
- HSI提供了一种基于内在光学特性的定量方法来评估呼吸道疾病.
- 这些发现支持HSI的转化为病理诊断和COPD等肺部疾病的定量评估.
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