4.5 Article

PurpleDrop: A Digital Microfluidics-Based Platform for Hybrid Molecular-Electronics Applications

Journal

IEEE MICRO
Volume 40, Issue 5, Pages 76-85

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/MM.2020.3005615

Keywords

Computer vision; Memory; Electrodes; Hardware; Sequential analysis; Data storage systems; Molecular computing

Funding

  1. DARPA under the Molecular Informatics program
  2. National Science Foundation EAGER Grant [1841188]
  3. Microsoft
  4. Division of Computing and Communication Foundations
  5. Direct For Computer & Info Scie & Enginr [1841188] Funding Source: National Science Foundation

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Molecular manipulation and analysis are the cornerstone of life sciences. With the recent advances in molecular data storage and computing, it has become an increasingly exciting and viable alternative for the post-CMOS scaling era. Widespread use of molecular manipulation/analysis and data storage/computing requires a scalable and low-cost platform for hybrid molecular-electronics systems. This enables us to build on the best of what molecular and electronics systems can offer. In this article, we present PurpleDrop, a full-stack digital microfluidic platform for hybrid molecular-electronic systems in multiple domains, and focus on DNA data storage as a use case. We describe its design principles and relevant aspects such as closed-loop operation with computer vision and capacitive sensing, on-board magnetic bead extraction, and polymerase chain reaction, among other primitives. Importantly, we emphasize the ability to express and execute protocols and computation that include molecular and computational components.

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