Experimental and numerical study of microfluidic label-free viability cell sorting

POSTER

Abstract

Cell biomechanical properties often change in predictable ways with important cell phenotypes changes, such as cell loss of viability. We propose a biophysical approach for cell viability sensing, enumeration, and purification that is label-free and continuous. Experimentally using microfluidics with periodic cell-compressing constrictions, we show that we can separate viable cells from nonviable cells based on the difference in their stiffness with an enrichment factor of \textgreater 5 and an overall recovery of 95{\%}. We numerically study the effect of cell elasticity and adhesion on cell motion in the microchannel using lattice Boltzmann and lattice spring models. The sorting technology consists of a microfluidic channel with diagonal ridges that direct cells along different paths in a manner dependent on cell biomechanical properties. As a result, the sorted viable and nonviable cells are collected at different microchannel outlets. The platform can be used for cell characterization and purification either in-line with cell bioreactors or after cell manufacture and prior to administration to improve outcomes.

*The work is supported by NSF Engineering Research Center for Cell Manufacturing Technologies and NSF CBET 1928262.

Authors

  • Fatima Ezahra Chrit

    • Georgia Inst of Tech
  • Abhishek Raj

    • Indian Institute of Technology
  • Katherine Young

    • Georgia Institute of Technology
  • Nicholas Stone

    • Georgia Institute of Technology
  • Peter Shankles

    • Georgia Institute of Technology
  • Alexander Alexeev

    • Georgia Institute of Technology
  • Todd Sulchek

    • Georgia Institute of Technology