Measuring DNA Microswimmer Locomotion in Complex Flow Environments
Taryn Imamura, Teresa A. Kent, Rebecca E. Taylor, Sarah Bergbreiter
TL;DR
This work tackles the challenge of quantifying synthetic microswimmer locomotion within complex flow environments by introducing fiducial microspheres that track fluid motion and enable subtraction of flow- and gradient-induced motion from active swimming. The authors fabricate DNA-linked, ferromagnetic/non-magnetic colloidal swimmers and actuate them with orthogonal Helmholtz coils across constant, rotating, and oscillating magnetic fields, while tracking both fiducials and swimmers with high precision. A key innovation is the estimation of local flow via non-magnetic fiducials and the use of an exclusion zone to mitigate swimmer-induced flow perturbations, allowing the calculation of the field-driven translation $\\Delta_{swim} - \\\Delta_{mag}$. Results show that oscillating fields drive net field-driven locomotion in multiple swimmers, confirming theoretical predictions for flexibly linked microswimmers in low Reynolds number regimes, and establishing a method to ground truth swimmer motion in complex fluids for future design and control efforts.
Abstract
Microswimmers are sub-millimeter swimming microrobots that show potential as a platform for controllable locomotion in applications including targeted cargo delivery and minimally invasive surgery. To be viable for these target applications, microswimmers will eventually need to be able to navigate in environments with dynamic fluid flows and forces. Experimental studies with microswimmers towards this goal are currently rare because of the difficulty isolating intentional microswimmer motion from environment-induced motion. In this work, we present a method for measuring microswimmer locomotion within a complex flow environment using fiducial microspheres. By tracking the particle motion of ferromagnetic and non-magnetic polystyrene fiducial microspheres, we capture the effect of fluid flow and field gradients on microswimmer trajectories. We then determine the field-driven translation of these microswimmers relative to fluid flow and demonstrate the effectiveness of this method by illustrating the motion of multiple microswimmers through different flows.
