10.10 Microfluidics Meets Electronic Design Automation: Algorithmic Exploration of Future Biochip Architectures (FLUIDA)

Research

Microuidic biochips have revolutionized traditional biochemical diagnoses and experiments signicantly by exactly manipulating nanoliter samples and reagents. This miniaturization saves expensive reagents and improves experiment accuracy effectively. With the recent advances in manufacturing technology and integration of biochips, very complex applications can now be executed on such a chip as a whole without human interference. However, the interface between this tremendous engineering advance and applications is still incomplete, and new emerging architectures are enlarging this gap further. In this project, we propose to bridge this gap with a design automation ow focusing on reliability and efciency. We will improve ow-based biochips with an innovative microvalve-array architecture. We will also explore design automation challenges in several other emerging architectures, including paper-based microuidic biochips, which are cost-effective and have a short design-manufacturing cycle, and thin-lm-transistor (TFT) based biochips, which exhibit very promising accuracy in manipulating discretized uid droplets. By investigating these topics, the trend of future microuidic miniaturization may be exposed.

Publications

Yasamin Moradi, Krishnendu Chakrabarty, Ulf Schlichtmann: "An Efficient Fault-Tolerant Valve-Based Microfluidic Routing Fabric for Single-Cell Analysis", 2018.

Yasamin Moradi, Mohamed Ibrahim, Krishnendu Chakrabarty, Ulf Schlichtmann: "Fault-tolerant valve-based microfluidic routing fabric for droplet barcoding in single-cell analysis", 2018.

Bing Li, Ulf Schlichtmann:"Reliability‐aware Synthesis and Fault Test of Fully Programmable Valve Arrays (FPVAs)", 2017.

Chunfeng Liu, Bing Li, Hailong Yao, Paul Pop, Tsung‐Yi Ho, Ulf Schlichtmann: "Transport or Store? Synthesizing Flow‐based Microfluidic Biochips using Distributed Channel Storage", 2017. 

Chunfeng Liu, Bing Li, Bhargab B. Bhattacharya, Krishnendu Chakrabarty, Tsung-Yi Ho, Ulf Schlichtmann:  "Testing Microfluidic Fully Programmable Valve Arrays (FPVAs)", 2017.

Qin Wang, Shiliang Zuo, Hailong Yao, Tsung-Yi Ho, Bing Li, Ulf Schlichtmann, Yici Cai: "Hamming-Distance-Based Valve-Switching Optimization for Control Multiplexing in Flow-Based Microfluidic Biochip", 2017.

Robert Wille, Bing Li, Ulf Schlichtmann, Rolf Drechsler: "From Biochips to Quantum Circuits: Computer-Aided Design for Emerging Technologies", 2016.

Qin Wang, Zeyan Li, Haena Cheong, Oh-Sun Kwon, Hailong Yao, Tsung-Yi Ho, Kwanwoo Shin, Bing Li, Ulf Schlichtmann, Yici Cai: "Control-Fluidic CoDesign for Paper-Based Digital Microfluidic Biochips", 2016.

Team

Project team leader

Dr.-Ing. Bing Li
Institute for Electronic Design Automation

Doctoral researcher

Yasamin Moradi
Institute for Electronic Design Automation

Doctoral researcher

Alexander Rüdiger Schneider
Department of Applied Mathematics and Computer Science, DTU

Doctoral researcher

Ying Zhu
Institute for Electronic Design Automation

Principal investigator

Professor Ulf Schlichtmann
Institute for Electronic Design Automation

Principal investigator

Professor Paul Pop
Department of Applied Mathematics and Computer Science, DTU