在单细胞分析领域，微流控阻抗流式细胞仪是一种非常重要的工具。不过，传统的微流控阻抗流式细胞仪存在一个难题：高灵敏度和避免堵塞往往难以兼得。

为了解决这个问题，科研人员开发了一种基于三维（3D）流体动力学聚焦的微流控阻抗流式细胞仪。它利用导电样本流体和绝缘鞘液的交叉流动，将电场线集中并限制在样本流体中。这样一来，既能检测单个细胞的高阻抗灵敏度，又不用担心通道堵塞的问题。

与传统的阻抗流式细胞仪不同，在这项研究中，通过实验用微珠验证了单个微粒穿过3D流体动力学聚焦区域时产生的阻抗幅值下降（而不是脉冲信号）。研究人员使用这种自主研发的仪器，对三种白血病细胞系（K562、Jurkat和HL - 60）和四种纯化白细胞（中性粒细胞、嗜酸性粒细胞、单核细胞和淋巴细胞）进行了检测，得到了它们高灵敏度且无堵塞的阻抗特征数据。

最后，研究人员采用循环神经网络对细胞类型进行分类，三种白血病细胞系的分类准确率达到了93.9%，四种纯化白细胞的分类准确率达到了87.8%。这种新型的流式细胞仪兼具高灵敏度和持续工作的能力，有望克服传统微流控阻抗流式细胞仪的局限，推动其商业化发展。

期刊

lab on a chip

标题

A high-sensitivity and clogging-free microfluidic impedance flow cytometer based on three-dimensional hydrodynamic focusing

作者

Xiao Chen, Tingxuan Fang, Yimin Li,Jie Zhang, Xiaoye Huo, Junbo Wang,  Xuzhen Qin,  Yueying Li, Yi Zhang and Jian Chen

摘要

Microfluidic impedance flow cytometry has functioned as an enabling instrument in single-cell analysis, which, however, suffers from the limiting tradeoff between high sensitivity and clogging-free operation. In order to address this issue, this study presented a microfluidic impedance flow cytometer based on three-dimensional (3D) hydrodynamic focusing, in which the crossflow of conductive sample fluids and insulating sheath fluids was leveraged to centralize and restrict electric field lines to the sample fluid, thereby achieving high impedance sensitivity of single cells without the concern of channel blockage. Different from conventional impedance flow cytometry, in this study, impedance amplitude dips (rather than pulse singles) generated by single microparticles traveling through the 3D hydrodynamic focusing region were experimentally validated using microbeads. Based on the home-developed microfluidic impedance flow cytometer, high-sensitivity and clogging-free impedance profiles of three leukemia cell lines (K562, Jurkat, and HL-60) and four types of purified leukocytes (neutrophil, eosinophil, monocyte, and lymphocyte) were quantified as −8.01 ± 2.96%, −4.53 ± 1.09%, −6.36 ± 1.54%; −8.11 ± 0.84%, −7.23 ± 1.06%, −9.05 ± 2.00% and −5.68 ± 1.24%, respectively. When a recurrent neural network was adopted for cell-type classification, high classification accuracies of 93.9% for three leukemia cell lines and 87.8% for four types of purified leukocytes were achieved. This study presented a promising impedance flow cytometer that combines high sensitivity with sustainable working capabilities, potentially overcoming the limitations of conventional microfluidic impedance flow cytometry and significantly advancing its commercial development.

原文链接

https://pubs.rsc.org/en/content/articlelanding/2025/lc/d5lc00571j

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静远嘲风（MY Scimage） 成立于2007年，嘲风取自中国传统文化中龙生九子，子子不同的传说，嘲风为守护屋脊之瑞兽，喜登高望远；静远取自成语“宁静致远”，登高莫忘初心，远观而不可务远。

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