An integrated opto-microfluidic device for microflow cytometry
An integrated opto-microfluidic device for microflow cytometry
复制标题
用于微流式细胞术的集成光微流控装置
DOI：
10.1117/12.2575500
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Lyu Y
中科院分区：
文献类型：
--
作者：
Lyu Y
微流式细胞术已成为一种对复杂细胞群体进行计数和分析的有力工具，在生命科学研究中有着广泛的应用。然而，其在筛选小尺寸目标（例如微生物）中的实施受到与流中的样品处理和检测相关联的挑战的限制。在这里，我们报告的功能的3D流动聚焦微流控系统作为一个高性能，多参数流式细胞术。该系统由一个检测室和一个集成光纤组成，检测室可以精确地控制3D高度聚焦的样品流，集成光纤用于收集垂直平面上的散射光。证明了系统检测小微珠（1 µm）、区分细微差异（2 µm）和准确分析混合微珠群体的能力。此外，关于样品的多种类型的信息，包括固有的生化信息（例如，荧光或拉曼信号）和物理性质（例如，大小）同时产生，允许复杂的细胞分析。再加上操作简便和强大，这提供了一个多功能的工具，可用于多参数分析的各种应用。
Microflow cytometry has become an attractive tool for counting and analysis of complex cell population and finds many applications in life science research. However, its implementation in screening small sized targets, such as microorganisms, is limited by challenges associated with sample handling and detection in a flow. Here, we report the function of a 3D flow focusing microfluidic system as a high performance, multi-parameter flow cytometry. The system consists of a detection chamber that can precisely control a highly focused sample flow in 3D and an integrated optical fiber to collect the scattered light at the vertical plane. The ability of the system to detect small beads (1 µm), differentiate subtle differences (2 µm) and accurately profile a mixed bead population is demonstrated. Furthermore, multiple types of information about the sample, including the inherent biochemical information (e.g., fluorescence or Raman signal) and physical properties (e.g., size) are simultaneously generated, allowing sophisticated cellular analysis. Together with the facile and robust operation, this provides a versatile tool that could be used for multi-parametric analyses in a diversity of applications.
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影响因子：
6.1
作者：
Cho SH;Chen CH;Tsai FS;Godin JM;Lo YH
通讯作者：
Lo YH
影响因子：
6.1
作者：
Kennedy MJ;Stelick SJ;Sayam LG;Yen A;Erickson D;Batt CA
通讯作者：
Batt CA
矶崎明宏
DOI：
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发表时间：
--
期刊：
影响因子：
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作者：
通讯作者：
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影响因子：
3.2
作者：
Mao, Xiaole;Nawaz, Ahmad Ahsan;Huang, Tony Jun
通讯作者：
Huang, Tony Jun