micrIO: an open-source autosampler and fraction collector for automated microfluidic input-output.

Area of Science:

• Microfluidics
• Automation
• Biotechnology

Background:

• Microfluidic devices offer versatile applications but face challenges with sample input/output (IO).
• Manual sample handling in microfluidics is low-throughput and labor-intensive.
• A 'world-to-chip' barrier hinders seamless integration of samples with microfluidic systems.

Purpose of the Study:

• To present a novel hardware-software platform for automated microfluidic IO.
• To overcome the limitations of manual sample handling in microfluidic experiments.
• To enable widespread adoption of automated microfluidic IO through open-source designs.

Main Methods:

• Developed the micrIO platform with 'AutoSipper' for input and 'Fraction Collector' for output.
• Designed both components as open-source builds using readily available parts.
• Created a Python-based software control library for integration and coordination of IO functions.

Main Results:

• The micrIO platform demonstrated automated sample handling compatible with positive-pressure microfluidics.
• Open-source designs facilitate easy replication and adoption.
• Successful integration with microfluidic devices, including a droplet generator, showed precise sample transfer with negligible cross-contamination.

Conclusions:

• The micrIO platform effectively automates microfluidic sample IO, addressing a key bottleneck.
• Open-source accessibility promotes broader use of automated microfluidic systems.
• This technology enhances the throughput and efficiency of microfluidic applications.