Smarter cell sorting: droplet microfluidics meets pick-and-place sorting.

Area of Science:

• Biotechnology
• Microfluidics
• Robotics

Background:

• Single-cell manipulation is crucial for morphology-based screening.
• Current pick-and-place methods are limited by single-object transfer per cycle, impacting efficiency.

Purpose of the Study:

• To develop a novel microfluidic droplet-based system for efficient, multi-object single-cell transfer.
• To overcome the bottleneck of traditional single-object pick-and-place techniques.

Main Methods:

• Development of a microfluidic transfer tool (MTT) for sequential cell encapsulation into nanoliter droplets.
• Integration of the MTT into a robotic environment for automated pick-and-place operations.
• Benchmarking using fluorescent particles of varying colors and sizes (45-63 μm).

Main Results:

• The microfluidic droplet system enables sequential transfer of multiple objects per cycle.
• Demonstrated an approximate 20-fold performance improvement compared to traditional methods.
• Successful demonstration of hit-containing droplet transfer from source to target with a single global movement.

Conclusions:

• The microfluidic transfer tool (MTT) offers a significant advancement in single-cell manipulation efficiency.
• This droplet-based approach enhances throughput for screening applications.
• The system provides a robust and scalable solution for automated cell sorting and transfer.