摘要
针对传统流式细胞分析技术中,细胞亚结构形态识别困难以及荧光染色又会改变细胞活性问题的研究需要,依据淋巴细胞和嗜酸性粒细胞形态特征建立了对应的偏心单核细胞模型及双核细胞模型。基于光散射理论下的仿真实验软件,设计了可同时接收细胞前向和后向散射光谱的仿真实验光路,获得了这两种细胞模型下的散射分布图谱,由此建立了不同核质相对折射率下的前、后向散射光光强与442、532、633 nm入射波长关系。通过前、后向散射光谱特征分析,发现在以后向散射光信号为纵轴,前向散射光信号为横轴表征下,淋巴细胞和嗜酸性粒细胞具有明显的分类分区散点特征,从而提出了一种淋巴细胞以及嗜酸性粒细胞的分类识别方法。该散射分类识别计数方法对于设计全光学、非入侵、免标记的血细胞分析仪有一定的潜在应用价值。
For traditional flow cytometry, it is necessary to solve the problem of cell subcellular morphological recognition and the change of cell activity by fluorescence staining. According to the physical characteristics of lymphocytes and eosinophils, the model of particle-free eccentric sphere cells and the dual-core cell were established. Afterwards, based on the simulation experiment software of light scattering theory, a simulation experimental light path which can receive both forward and backward scattered spectra of cells was designed. The scattering distribution of the cell model was obtained, and the relationship between the light intensity and the incident wavelength was established under the relative refractive index of the nucleus and cytoplasm. Through the analysis of the characteristics of the forward and backward scattered light spectra, it was found that the forward scattered light signal was set as X-axis, the cell backward scattered light signal was set as Y axis, lymphocytes and eosinophils had distinct classification characteristics so that a classification method for lymphocytes and eosinophils was proposed.Finally, the method of classifying and counting in this paper has some potential application value for designing all optical, non-invasive and unmarked blood cell analyzer.
作者
陶兆禾
郑慧茹
秦柳燕
廖景荣
徐媛媛
王亚伟
Tao Zhaohe;Zheng Huiru;Qin Liuyan;Liao Jingrong;Xu Yuanyuan;Wang Yawei(Faculty of Science,Jiangsu University, Zhenjiang 212013, China;School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China)
出处
《红外与激光工程》
EI
CSCD
北大核心
2019年第5期295-302,共8页
Infrared and Laser Engineering
基金
国家自然科学基金(11604127
11474134
11874184)
江苏省自然科学基金(SBK2015042429
BK20141296)
江苏大学第十七批大学生科研项目(17A291)
关键词
光散射
细胞亚结构
前、后向散射
细胞分类
模拟仿真
light scattering
cell substructure
forward and backward scattering
cell classification
simulation
