A new microfluidic device design for a defined positioning of neurons in vitro

• Published in: Biomicrofluidics 2017-07, Vol.11 (4), p.044103-044103
• Main Authors: Walczuch, Katharina, Renze, Peter, Ingensiep, Claudia, Degen, Rudolf, Bui, Thanh Phong, Schnakenberg, Uwe, Bräunig, Peter, Bui-Göbbels, Katrin
• Format: Article
• Language: English
• Subjects: Beads; Channels; Computational fluid dynamics; Computer simulation; Efficiency; Neurons; Parameter sensitivity; Regular; Trapping; Viability
• ISSN: 1932-1058; 1932-1058
• DOI: 10.1063/1.4993556

A new triangle-shaped microfluidic channel system for defined cell trapping is presented. Different variants of the same basic geometry were produced to reveal the best fitting parameter combinations regarding efficiency and sensitivity. Variants with differences in the trap gap width and the inter-trap distance were analyzed in detail by Computational Fluid Dynamics simulations and in experiments with artificial beads of different sizes (30, 60, 80 μm). Simulation analysis of flow dynamics and pressure profiles revealed strongly reduced pressure conditions and balanced flow rates inside the microfluidic channels compared to commonly used systems with meandering channels. Quantitative experiments with beads showed very good trapping results in all channel types with slight variations due to geometrical differences. Highest efficiency in terms of fast trap filling and low particle loss was shown with channel types having a larger trap gap width (20 μm) and/or a larger inter-trap distance (400 μm). Here, experimental success was achieved in almost 85% to 100% of all cases. Particle loss appeared significantly more often with large beads than with small beads. A significantly reduced trapping efficiency of about 50% was determined by using narrow trap gaps and a small inter-trap distance in combination with large 80 μm beads. The combination of the same parameters with small and medium beads led to an only slight decrease in trapping efficiency (80%). All channel types were tested qualitatively with invertebrate neurons from the pond snail Lymnaea stagnalis. The systems were appropriate to trap those sensitive neurons and to keep their viability in the trapping area at the same time.