Numerical simulations of cell flow and trapping within microfluidic channels for stiffness based cell isolation

Mutabe S. Aljaghtham, Zixiang L. Liu, Jing J. Guo, Jin He, Emrah Celik

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Analysis of rare cells in heterogenous mixtures is proven to be beneficial for regenerative medicine, cancer treatment and prenatal diagnostics. Scarcity of these cells, however, makes the isolation process extremely challenging. Efficiency in cell isolation is still low and therefore, novel cell isolation strategies with new biomarkers need exploration. In this study, we investigated the feasibility of using the mechanical stiffness difference to detect and isolate the rare cells from the surrounding cells without labelling them. Fluid and solid mechanics simulations have shown that cell isolation can be performed at high efficiency using stiffness-based isolation. Accuracy of the numerical simulations is established using microfluidic flow chamber experiments.

Original languageEnglish (US)
JournalJournal of Biomechanics
DOIs
StateAccepted/In press - Jan 1 2019

Fingerprint

Microfluidics
Cell Separation
Stiffness
Oncology
Computer simulation
Biomarkers
Labeling
Mechanics
Regenerative Medicine
Fluids
Experiments
Neoplasms

Keywords

  • Cancer
  • Cell isolation
  • Deformation
  • Finite element analysis
  • Stiffness

ASJC Scopus subject areas

  • Biophysics
  • Orthopedics and Sports Medicine
  • Biomedical Engineering
  • Rehabilitation

Cite this

Numerical simulations of cell flow and trapping within microfluidic channels for stiffness based cell isolation. / Aljaghtham, Mutabe S.; Liu, Zixiang L.; Guo, Jing J.; He, Jin; Celik, Emrah.

In: Journal of Biomechanics, 01.01.2019.

Research output: Contribution to journalArticle

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