In-Vitro DX & Bioscience, Department of Strategy and Innovation, Siemens Healthcare GmbH, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany.
Lab Chip. 2018 Jun 12;18(12):1704-1712. doi: 10.1039/c8lc00350e.
Effective malaria treatment requires rapid and accurate diagnosis of infecting species and actual parasitemia. Despite the recent success of rapid tests, the analysis of thick and thin blood smears remains the gold standard for routine malaria diagnosis in endemic areas. For non-endemic regions, sample preparation and analysis of blood smears are an issue due to low microscopy expertise and few cases of imported malaria. Automation of microscopy results could be beneficial to quickly confirm suspected infections in such conditions. Here, we present a label-free, high-throughput method for early malaria detection with the potential to reduce inter-observer variation by reducing sample preparation and analysis effort. We used differential digital holographic microscopy in combination with two-dimensional hydrodynamic focusing for the label-free detection of P. falciparum infection in sphered erythrocytes, with a parasitemia detection limit of 0.01%. Moreover, the achieved differentiation of P. falciparum ring-, trophozoite- and schizont life cycle stages in synchronized cultures demonstrates the potential for future discrimination of even malaria species.
有效的疟疾治疗需要快速、准确地诊断感染物种和实际寄生虫血症。尽管最近快速检测取得了成功,但在流行地区,厚、薄血涂片分析仍然是常规疟疾诊断的金标准。对于非流行地区,由于缺乏显微镜检查专业知识和疟疾输入病例较少,血液涂片的制备和分析是一个问题。显微镜检查结果的自动化可能有助于在这种情况下快速确认疑似感染。在这里,我们提出了一种无标记、高通量的早期疟疾检测方法,有可能通过减少样本制备和分析工作量来减少观察者之间的差异。我们使用差分数字全息显微镜结合二维流体动力学聚焦,对球形红细胞中的疟原虫感染进行无标记检测,寄生虫血症检测限为 0.01%。此外,在同步培养物中实现的疟原虫环、滋养体和裂殖体生命周期阶段的差异分化表明,未来甚至有可能区分疟疾物种。