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在微流控阻抗细胞仪中利用共面电极对全血中的异质细胞群体进行符合检测。

Coincidence detection of heterogeneous cell populations from whole blood with coplanar electrodes in a microfluidic impedance cytometer.

作者信息

Hassan U, Bashir R

机构信息

Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, William L. Everitt Laboratory, 1406 W. Green St., Urbana, IL 61801, USA.

出版信息

Lab Chip. 2014 Nov 21;14(22):4370-81. doi: 10.1039/c4lc00879k.

Abstract

Particle counting finds many industrial applications especially in medical healthcare. In particular, cell counting from whole blood is used pervasively for disease diagnostics. Microfluidic impedance cytometry is fast, requires a small volume of blood, can be used at point of care and can perform absolute enumeration of different cell types in the sample. Coincidence detection is very essential for accurate counting results and becomes more significant while counting specific target cells, e.g. CD4(+) or CD8(+) T cell count in HIV/AIDS patient blood samples. In heterogeneous samples, e.g. blood, cell differentiation for all coincidence occurrences is essential in addition to the coincidence detection for accurate cell enumeration. In this paper, we have characterized the coincidence detection with cell differentiation using a microfluidic impedance biochip. The pure population of leukocytes is obtained after all erythrocytes are lysed on-chip from whole blood. Leukocytes were counted electrically as they pass over coplanar microfabricated electrodes bonded to the 15 μm × 15 μm cross section counting channel while generating a bipolar pulse for each cell passage. We have developed a mathematical model to simulate the electrical cell pulse and its coincidences. We show that coincidence detection can be characterized into three main types based on the range of time delay at which the coincidence occurs. We have also characterized cell differentiation for all the three coincidence types and show that multiple coincidences of different types can also occur. We used healthy and HIV-infected patient blood samples and used our coincidence detection technique to count CD4(+) and CD8(+) T cells and show the improvement in accuracy of cell counts compared to that without coincidence detection. We have also shown the improvement in the erythrocyte counting with coincidence detection in diluted whole blood samples.

摘要

粒子计数在许多工业应用中都有广泛应用,尤其是在医疗保健领域。特别是,全血中的细胞计数被广泛用于疾病诊断。微流控阻抗细胞术速度快,所需血量少,可在护理点使用,并且能够对样本中的不同细胞类型进行绝对计数。符合检测对于获得准确的计数结果至关重要,在对特定靶细胞进行计数时,例如对艾滋病毒/艾滋病患者血样中的CD4(+)或CD8(+) T细胞计数时,其重要性更为显著。在异质样本(如血液)中,除了进行符合检测以准确计数细胞外,对所有符合情况进行细胞区分也至关重要。在本文中,我们使用微流控阻抗生物芯片对具有细胞区分功能的符合检测进行了表征。在芯片上对全血中的所有红细胞进行裂解后,获得了纯的白细胞群体。白细胞在通过与15μm×15μm横截面计数通道相连的共面微加工电极上方时进行电计数,每个细胞通过时会产生一个双极脉冲。我们开发了一个数学模型来模拟细胞电脉冲及其符合情况。我们表明,根据符合发生时的时间延迟范围,符合检测可分为三种主要类型。我们还对所有三种符合类型的细胞区分进行了表征,并表明不同类型的多重符合也可能发生。我们使用健康和感染艾滋病毒患者的血样,并使用我们的符合检测技术对CD4(+)和CD8(+) T细胞进行计数,结果表明与无符合检测相比,细胞计数的准确性有所提高。我们还展示了在稀释全血样本中使用符合检测进行红细胞计数时的准确性提高情况。

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