Journal article

A deep learning approach for designed diffraction-based acoustic patterning in microchannels.

Samuel J Raymond, David J Collins, Richard O'Rorke, Mahnoush Tayebi, Ye Ai, John Williams

Scientific Reports | Nature Publishing Group | Published : 2020


Acoustic waves can be used to accurately position cells and particles and are appropriate for this activity owing to their biocompatibility and ability to generate microscale force gradients. Such fields, however, typically take the form of only periodic one or two-dimensional grids, limiting the scope of patterning activities that can be performed. Recent work has demonstrated that the interaction between microfluidic channel walls and travelling surface acoustic waves can generate spatially variable acoustic fields, opening the possibility that the channel geometry can be used to control the pressure field that develops. In this work we utilize this approach to create novel acoustic fields..

View full abstract

University of Melbourne Researchers


Awarded by Ministry of Education - Singapore (MOE)

Funding Acknowledgements

This work was supported by the Singapore Ministry of Education Academic Research Fund Tier 2 (T2MOE1603) and Singapore SMART Innovation Grant (SMIG17002) awarded to Y.A.