Academic Non-commercial License

Academic users (e.g., educational institutions, U.S. government research labs, and non-profit research institutes) may use the UCR DMFB Sample Preparation Framework, as well as modify and add to its source code free-of-charge for non-commercial research and instruction. Support is not provided except as our time happens to permit.

Any use of the UCR DMFB Sample Preparation Framework software, in binary or source form, in a commercial setting or application (e.g., use within a for-profit business, use to generate intellectual property for patents, or use to implement a consulting contract) for any reason, purpose or goal is considered commercial use of the UCR DMFB Sample Preparation Framework software and thus requires explicit permission and licensing from the original authors. Please contact microfluidics@cs.ucr.edu if you would like to receive more information about using the UCR DMFB Sample Preparation Framework commercially.

We encourage the academic users above to use, add to and improve upon the UCR DMFB Sample Preparation Framework and hope that it will be a valuable learning and research tool for the microfluidics research community.

Download

By downloading and using the UCR DMFB Sample Preparation Framework software, you are agreeing to the licensing agreement described above

The source code is available at the following GitHub Repository

Reference

The UCR Digital Microfluidic Biochip (DMFB) Sample Preparation Framework has been summarized in the following paper. (Similar to this website, the paper simply lists the sample preparation algorithms that have been implemented and provides references to the papers that introduced them). We respectfully request that you cite this papers if you use our binaries or source code in your own work.

D. Grissom, C. Curtis, S. Windh, C. Phung, N. Kumar, Z. Zimmerman, K. O'Neal, J. McDaniel, N. Liao, and P. Brisk
An Open-source Compiler and PCB Synthesis Tool for Digital Microfluidic Biochips
Integration: The VLSI Journal
51:169-193, September, 2015
Paper

Contact

Please direct any questions, comments, or other inquiries to the following e-mail address: microfluidics@cs.ucr.edu

Acknowledgment

This material is based upon work supported by the National Science Foundation under Grant Numbers 1035603, 1536026, and 1545097. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.