%ARyan, Duncan%AChen, Yu%ANguyen, Phong%AGoodwin, Peter%ACarey, J.%AKang, Qinjun%AWerner, James%AViswanathan, Hari%BJournal Name: Scientific Reports; Journal Volume: 10; Journal Issue: 1; Related Information: CHORUS Timestamp: 2022-07-27 11:54:40 %D2020%INature Publishing Group %JJournal Name: Scientific Reports; Journal Volume: 10; Journal Issue: 1; Related Information: CHORUS Timestamp: 2022-07-27 11:54:40 %K %MOSTI ID: 10183950 %PMedium: X %T3D particle transport in multichannel microfluidic networks with rough surfaces %X
The transport of particles and fluids through multichannel microfluidic networks is influenced by details of the channels. Because channels have micro-scale textures and macro-scale geometries, this transport can differ from the case of ideally smooth channels. Surfaces of real channels have irregular boundary conditions to which streamlines adapt and with which particle interact. In low-Reynolds number flows, particles may experience inertial forces that result in trans-streamline movement and the reorganization of particle distributions. Such transport is intrinsically 3D and an accurate measurement must capture movement in all directions. To measure the effects of non-ideal surface textures on particle transport through complex networks, we developed an extended field-of-view 3D macroscope for high-resolution tracking across large volumes (