基于双角度穆勒矩阵测量的红细胞变形特征的分析
Shuan Yao1,2, Caizhong Guan1,2, Nan Zeng3,4
1Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
Frontiers of optoelectronics
|December 2, 2025
概括
穆勒矩阵极度测量量红细胞 (RBC) 的微物理性质. 这种无标签的技术可以准确地识别异常的红细胞,帮助诊断疾病.
科学领域:
- 生物医学光学 生物医学光学
- 细胞生物物理学 细胞生物物理学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 红细胞 (RBC) 对健康至关重要,它们的形状变化表明疾病.
- 没有标签的光学技术,如穆勒矩阵 (MM) 极度度测量,显示出对分析细胞的希望.
- 需要准确,高通量方法来检测红细胞形态异常.
研究的目的:
- 开发特定的极化特征参数 (PFPs) 用于表征红细胞微物理性质.
- 评估MM极度度测试对RBC单细胞无标签分析的能力.
- 用PFP和机器学习量化混合样本中的异常红细胞.
主要方法:
- 集成了一个双角度MM测量系统与单细胞极化光散射建模.
- 建立了PFP来定量描述个体红细胞的形态和光学变化.
- 使用一种包含PFPs的随机森林分类器来量化异常的红细胞比例.
主要成果:
- 根据尺寸,形状,折射率和表面特征,PFPs有效地区分正常和变形的RBC.
- 随机森林分类器准确量化了混合悬浮液中异常红细胞的比例.
- 在单细胞水平上对红细胞微物理性质进行了无标签,高通量分析.
结论:
- 穆勒矩阵极度测量,结合PFPs,为无标签的RBC分析提供了一个强大的工具.
- 这种技术可以对红细胞形态和光学特性进行定量评估.
- 这项研究证实了通过红细胞分析来诊断疾病的极化测量潜力.
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