An open source platform to automate the design, verification, and manufacture of 3D printed microfluidic devices
Microfluidic devices, including lab-on-a-chip devices, have many advantages over conventional laboratory techniques. Although common in some applications, there are several barriers to wider adoption, including the high initial cost to fabricate a design and the labor-intensive process of development. This work seeks to address those barriers by combining 3D printing and computer aided design tools. Building on existing open-source software from electronic design automation (EDA), we present a design, verification, and manufacturing toolchain for 3D design for microfluidic devices. The process starts with a list of components and connections then, automatically lays out a microfluidic device using a library of components, simulates the device, and produces a 3D CAD file that is used for DLP 3D printing process. The automated design and fabrication process was demonstrated by automatically designing and fabricating a calcium quantification assay. This toolchain automatically generated a microfluidic chip that meters each reagent with an error of less than 2.24% as verified by Xyce simulation of the chip. Physical chips were printed and found to perform with errors less than 9.2% on average compared to the assay performed by hand. The demonstration showed the ability of the toolchain to automatically generate a functional microfluidic chip for use with real assays using previously developed EDA tools.
Authors
- Pierre‐Emmanuel Gaillardon (ORCID: https://orcid.org/0000-0003-3634-3999)
- Gregory P. Nordin (ORCID: https://orcid.org/0000-0001-7241-5764)
- Scott Temple (ORCID: https://orcid.org/0000-0002-9977-5804)
- Sebastián Zapata (ORCID: https://orcid.org/0000-0002-4836-8328)
- D. Wakeham
- Bruce K. Gale (ORCID: https://orcid.org/0000-0001-5843-3464)
- Ashton Snelgrove (ORCID: https://orcid.org/0000-0002-2062-2603)
- Brady Goenner
Institutions
- Brigham Young University (US)
- University of Utah (US)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1038/s41598-025-15976-9
- Citations
- 1
- Primary Topic
- 3D Printing in Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- National Science Foundation