Automated design of a 3D passive microfluidic particle sorter

Area of Science:

• Biomedical Engineering
• Microfluidics
• Computational Science

Background:

• Microfluidic chips for cell and particle sorting are crucial for research and healthcare.
• Designing 2D and especially 3D microfluidic sorters is complex and time-consuming due to extensive geometry exploration and simulation challenges.
• Particle trajectory simulation in 3D presents difficulties with runtime and collision handling for irregular shapes.

Purpose of the Study:

• To develop an efficient framework for designing 3D microfluidic particle sorters tailored to specific applications.
• To introduce an efficient 3D particle trajectory simulator to overcome the computational challenges of 3D microfluidic design.
• To enable robust performance evaluation through simulation of a larger sample size.

Main Methods:

• Proposal of a computational framework for 3D microfluidic particle sorter design.
• Implementation of an efficient 3D particle trajectory simulator.
• Experimental validation of the designed sorter's performance.

Main Results:

• The proposed framework facilitates the design of 3D microfluidic particle sorters.
• The efficient simulator allows for more comprehensive sample simulations, ensuring robust sorting performance.
• Experimental results confirm the successful separation of particles based on targeted size using the designed sorter.

Conclusions:

• The developed framework and simulator significantly improve the design process for 3D microfluidic particle sorters.
• This approach enhances the efficiency and robustness of microfluidic device design for particle separation applications.
• The validated sorter demonstrates practical utility in separating particles by size.