Microfluidic Particle Separation and Detection System Based on Standing Surface Acoustic Wave and Lensless Imaging

• Published in: IEEE transactions on biomedical engineering 2022-07, Vol.69 (7), p.2165-2175
• Main Authors: Chen, Jin, Huang, Xiwei, Xu, Xuefeng, Wang, Renjie, Wei, Maoyu, Han, Wentao, Cao, Jiafei, Xuan, Weipeng, Ge, Yakun, Wang, Junchao, Sun, Lingling, Luo, Ji-Kui
• Format: Article
• Language: English
• Subjects: Acoustophoresis; Algorithms; Biocompatibility; Design optimization; Flow rates; Flow velocity; Fluids; Force; Imaging; Interdigital transducers; Lensless imaging; Medical imaging; microfluidic separation; Microfluidics; Microspheres; Motion detection; Motion perception; Nanoparticles; Optical surface waves; point-of-care; Radio frequency; Separation; Separation techniques; standalone; surface acoustic wave (SAW); Surface acoustic waves; Transducers
• ISSN: 0018-9294; 1558-2531
• DOI: 10.1109/TBME.2021.3138086

Objective: Separation and detection of micro-particles or cells from bio-samples by point-of-care (POC) systems are critical for biomedical and healthcare diagnostic applications. Among various microfluidic separation techniques, acoustophoresis-based technique has the advantages of label-free and good biocompatibility. However, most of the existing separation techniques are bulky and require additional equipment for analysis. Methods: We proposed a platform, which integrates an acoustophoresis-based separation device and a lensless imaging sensor into a compact standalone system to tackle this challenge. Standing Surface Acoustic Wave (SSAW) is utilized for label-free particle separation, while lensless imaging is employed for seamless particle detection and counting using self-developed dual-threshold motion detection algorithms. In particular, we specially optimized the design of microfluidic channel and interdigital transducers (IDTs) for higher performance bioparticle separation, designed a heat dissipation system for the suppression of fluid temperature, and proposed a novel frequency-temperature-curve based method to determine the appropriate signal driving frequency for IDTs. Results: At 2 μL/min flow rate, separation efficiency of 93.52% and purity of 94.29% for 15 μm microbead were achieved in mixed 5μm and 15μm microbead solution at a 25 dBm RF driving power, and similar results for mixed 10 μm and 15 μm microbead solution. Conclusions: The results showed that the integrated platform has an excellent capability to seamlessly separate, distinguish, and count microbeads of different sizes. Significance: Such a platform and the design methodologies offer a promising POC solution for label-free cell separation and detection in biomedical diagnostics.