Leukocytes are blood cells involved in the immune response. Leukocytes can be classified into three main groups (granulocytes, lymphocytes, and monocytes), and the measurement of the relative prevalence of each subgroup, termed differential leukocyte count, is an important clinical parameter in the diagnosis and prognosis of various health anomalies. Currently, differential leukocyte counts are obtained either manually through labor-intensive blood smears or by employing bulky hematology analyzers. Both of these measurements require a laboratory setup and hence are not amenable for decentralized and point-of-care settings. In this paper, we introduce a microfluidic assay with an electronic readout for differential leukocyte count assays. Our device classifies leukocyte subgroups based on the differential CD33 expression on cell membranes. In the device, each subgroup is differentially immunocaptured in different microfluidic chambers, while the cell capture rates are quantified by an integrated electronic sensor network. When benchmarked against a commercial hematology analyzer, our device could identify leukocyte subpopulations with differences of <6% for granulocytes and lymphocytes, and a <3% for monocytes. These results demonstrate the potential of our technique as an accurate method to perform the widely-employed hematology assay for point-of-care applications without the need for sample labeling. [2020-0197]

中文翻译：

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用于差异白细胞计数的电子免疫亲和分析

白细胞是参与免疫反应的血细胞。白细胞可分为三大类（粒细胞、淋巴细胞和单核细胞），每个亚组的相对患病率的测量，称为白细胞分类计数，是各种健康异常诊断和预后的重要临床参数。目前，差异白细胞计数要么通过劳动密集型的血液涂片手动获得，要么通过使用笨重的血液分析仪来获得。这两种测量都需要实验室设置，因此不适用于分散式和即时护理设置。在本文中，我们介绍了一种带有电子读数的微流体测定，用于差异白细胞计数测定。我们的设备根据细胞膜上的差异 CD33 表达对白细胞亚群进行分类。在该设备中，每个亚组在不同的微流体室中被不同地免疫捕获，而细胞捕获率由集成的电子传感器网络量化。当与商用血液分析仪进行对比时，我们的设备可以识别白细胞亚群，粒细胞和淋巴细胞的差异小于 6%，单核细胞的差异小于 3%。这些结果证明了我们的技术作为一种准确方法的潜力，可以在不需要样品标记的情况下为床旁应用进行广泛采用的血液学检测。[2020-0197] 我们的设备可以识别白细胞亚群，粒细胞和淋巴细胞的差异小于 6%，单核细胞的差异小于 3%。这些结果证明了我们的技术作为一种准确方法的潜力，可以在不需要样品标记的情况下为床旁应用进行广泛采用的血液学检测。[2020-0197] 我们的设备可以识别白细胞亚群，粒细胞和淋巴细胞的差异小于 6%，单核细胞的差异小于 3%。这些结果证明了我们的技术作为一种准确方法的潜力，可以在不需要样品标记的情况下为床旁应用进行广泛采用的血液学检测。[2020-0197]