Single Red Blood Cell Hydrodynamic Traps via the Generative Design

Area of Science:

• Microfluidics
• Biomedical Engineering
• Computational Design

Background:

• Single-cell analysis requires precise control over cell manipulation within microfluidic devices.
• Achieving adequate flow rates for effective cell trapping in microfluidic systems presents a significant engineering challenge.
• Existing microfluidic trap designs often struggle with insufficient flow velocities for reliable cell capture.

Purpose of the Study:

• To develop a generative design methodology for creating an efficient micro hydrodynamic trap for single red blood cells (RBCs).
• To optimize microfluidic trap geometry for enhanced through-slit flow rates necessary for cell trapping.
• To validate the generative design approach through experimental testing and performance analysis.

Main Methods:

• Utilized a generative design methodology incorporating an evolutionary algorithm to iteratively generate and optimize L-shaped trapping slits.
• Simulated and analyzed 30,000 potential geometries to identify optimal designs for maximizing through-slit velocities.
• Fabricated and experimentally tested prototype microfluidic traps based on the optimized generative design.

Main Results:

• The optimized generative design increased through-slit velocities by 49% compared to non-optimized designs.
• Experimental validation demonstrated a 100% trapping efficiency for red blood cells (RBCs) using the fabricated prototypes.
• The developed L-shaped slit geometry proved effective for trapping living cells suspended in flow channels.

Conclusions:

• Generative design with evolutionary algorithms offers a powerful approach for optimizing microfluidic devices.
• The novel micro hydrodynamic trap design significantly enhances cell-trapping efficiency in microfluidic applications.
• This methodology and design are adaptable for trapping various cell types and sizes in microfluidic systems.