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Microfluidic bioparticle separation and detection system based on standing surface acoustic wave and lensless imaging

机译:基于站立表面声波和无透镜成像的微流体生物粒子分离与检测系统

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Separation and detection of biological particles or cells from samples by point-of-care (POC) systems are very important for biomedical and healthcare applications. The acoustophoresisbased microfluidic separation technique has the advantages of label-free, contactless, and good biocompatibility. However, most of the separation techniques are bulky, requiring additional equipment for analysis, not suitable for POC-based in-field realtime applications. Here we proposed a platform, which integrates an acoustophoresis-based separation device and a lensless imaging sensor into a compact standalone system. Stand Surface Acoustic Wave (SSAW) is utilized for label-free particle separation, while the lensless imaging system is for the seamless detection and particle counting using self-developed dualthreshold motion detection algorithms. The results showed that the integrated platform was capable to separate, distinguish, and count microbeads of different sizes. We believe that such a platform and the design methods offer a promising POC solution for label-free cell separation and detection in biomedical diagnostics applications.
机译:通过护理点(POC)系统的样品的分离和检测来自样品(POC)系统对于生物医学和医疗保健应用非常重要。声渗杂散的微流体分离技术具有无标记,非接触和良好的生物相容性的优点。然而,大多数分离技术都是笨重的,需要额外的分析设备,不适合基于PoC的现场实时应用。在这里,我们提出了一个平台,该平台将基于射频的分离装置和无透镜成像传感器集成到紧凑的独立系统中。支架表面声波(SSAW)用于无标记的颗粒分离,而无透镜成像系统用于使用自开发的Dualthreshold运动检测算法进行无缝检测和粒子计数。结果表明,集成平台能够分离,区分和计算不同尺寸的微珠。我们认为这样的平台和设计方法为生物医学诊断应用中的无标签细胞分离和检测提供了有前途的PoC解决方案。

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