Automated monitoring and positioning of single microparticle via ultrasound-driven microbubble streaming

We present a novel technique that uses ultrasound-driven microbubble streaming for automated positioning of single microparticles of arbitrary size and physical properties in microchannels. We have developed algorithms for automatic detection, tracking, and precise positioning of target particles with arbitrary initial positions across the entire width of microchannels in a live mode that does not require additional structures to precondition the flow for particle positioning. This approach is universally applicable in all areas of microfluidics, regardless of particle size, shape, density, and compressibility. In this study, experiments were performed to position particles of different sizes (2, 5, 10, 15 mu m) in 5 lateral regions in a 500 mu m microchannel, resulting in valid positioning accuracy for single particles (up to MAD(f) = 2.3 mu m in a 500 mu m).

Automated summary

We have presented a novel technique that uses ultrasound-driven microbubble streaming to automatically position single microparticles of any size and physical properties in microchannels. This technique is universally applicable in microfluidics and provides high positioning accuracy without the need for flow preconditioning.