基于智能手机的自动微粒分析系统

Mohendra Roy, Dongmin Seo, Jaewoo Kim, S. Seo, Sangwoo Oh
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引用次数: 2

摘要

细胞和微粒分析是所有病理实验室的主要任务之一。红细胞(RBC)、白细胞(WBC)、血小板等浓度谱是许多疾病早期诊断的关键参数。然而,在大多数实验室,特别是在资源有限的环境中,这种诊断是使用传统光学显微镜手动完成的。这种手工过程很慢,而且容易出现主观错误。在本文中,我们展示了一个基于智能手机的自动细胞检测和计数系统。该系统基于无透镜成像方法,这是一个由廉价组件组成的紧凑设备。我们通过评估不同大小的微颗粒的浓度来评估系统和智能手机算法的性能。然后将此结果与常规光学显微镜结果进行比较。这种比较的相关系数表明两种模态之间有很大的一致性。在资源有限的情况下,这种紧凑型系统以及无线设备将是一个很好的护理设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smartphone based automated microparticle analysis system
Cell and microparticle analysis is one of the major task in all pathological labs. The concentration profile, such as red blood cell (RBC), white blood cell (WBC), platelet concentration are the key parameters for early diagnosis of many diseases. However in most laboratories, especially in resource limited settings, this diagnosis are done manually using conventional optical microscope. This manual process is slow and prone to subjective error. In this paper we demonstrate a smartphone based automated cell detection and counting system. The system is based on the lens-free imaging method, which is a compact facility made up of inexpensive components. We evaluated the performance of the system as well as smartphone algorithm by evaluating the concentration of the micro particles of different sizes. This results were then compared with the conventional optical microscope result. The correlation coefficients of this comparisons shows a great agreement between the two modalities. This kind of compact system along with the wireless facility would be a good point of care facility in resource limited settings.
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