Numerical simulations of cell flow and trapping within microfluidic channels for stiffness based cell isolation |
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| Affiliation: | 1. Department of Mechanical and Aerospace Engineering, University of Miami, USA;2. Department Mechanical Engineering, Georgia Institute of Technology, USA;3. Department of Physics, Florida International University, USA;1. Department of Mechanical and Aerospace Engineering, University of Miami, USA;2. Department Mechanical Engineering, Georgia Institute of Technology, USA;3. Department of Physics, Florida International University, USA;1. ZCCE, College of Engineering, Swansea University, United Kingdom;2. Lymphoedema Network Wales, Abertawe Bro-Morgannwg University Health Board, Cimla Health & Social Care Centre, Neath, United Kingdom;1. Laboratoire Interdisciplinaire de Physique, Centre National de la Recherche Scientifique, Grenoble, France;2. Laboratoire Interdisciplinaire de Physique, University Grenoble Alpes, Grenoble, France;3. Experimental Physics, Saarland University, Saarbrücken, Germany;1. Biomedical Engineering, University of Virginia, Charlottesville, VA, United States;2. Orthopaedic Surgery, University of Virginia, Charlottesville, VA, United States;3. Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, United States;4. Ophthalmology, University of Virginia, Charlottesville, VA, United States |
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| 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. |
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| Keywords: | Stiffness Deformation Cell isolation Finite element analysis Cancer |
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