宽带CARS 单个免疫细胞的高光谱分类
Ryan Muddiman1, Sarah Harkin2, Marion Butler2
1Department of Electronic Engineering, Maynooth University, Kildare, Ireland.
Journal of biophotonics
|January 18, 2025
概括
宽带连贯拉曼散射 (BCARS) 成功区分了T细胞和pDCs,准确率为97%. 这种技术使免疫细胞能够使用其独特的光谱指纹快速地进行单细胞分类.
科学领域:
- 生物光子学 生物光子学
- 频谱学是一种光谱学.
- 细胞生物学 细胞生物学
背景情况:
- 连贯拉曼散射 (CARS) 提供无标签的生物样品振动成像.
- 宽带CARS (BCARS) 提高了超频谱成像的速度和光谱范围.
- 区分免疫细胞亚型对于诊断和研究至关重要.
研究的目的:
- 为了证明BCARS对免疫细胞的无标签,单细胞分类的能力.
- 分析T细胞 (Jurkat) 和血细胞状树突细胞 (pDCs,CAL-1) 之间的光谱差异.
- 开发和验证一个分类器来区分这些细胞类型.
主要方法:
- 获取未染色的Jurkat和CAL-1细胞的广场高光谱BCARS图像.
- 应用多变量统计算法用于光谱分析.
- 培训和测试用于细胞类型歧视的分类器.
主要成果:
- BCARS能够快速获取免疫细胞的高光谱图像.
- 一个分类器在区分T细胞和pDC时,达到97%的袋外准确度.
- 混合细胞群和单个光谱的成功分类,采集时间为5毫秒.
结论:
- BCARS是一个强大的工具,用于无标签,高精度的免疫细胞亚型的分类.
- 这种技术可促进单细胞快速分析和验证细胞身份.
- 对于推进基于细胞的诊断和研究,BCARS具有前景.
相关概念视频
01:23Flow Cytometry
The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...
In...
01:30Classification of Leukocytes
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...