Computer-aided Design Techniques for Flow-based Microfluidic Lab-on-a-chip Systems

Author:

Huang Xing1ORCID,Ho Tsung-Yi2,Guo Wenzhong3,Li Bing1,Chakrabarty Krishnendu4,Schlichtmann Ulf1

Affiliation:

1. Technical University of Munich, Munich, Germany

2. National Tsing Hua University, Hsinchu, Taiwan

3. Fuzhou University, Fuzhou, China

4. Duke University, Durham, USA

Abstract

As one of the most promising lab-on-a-chip systems, flow-based microfluidic biochips are being increasingly used for automatically executing various laboratory procedures in biology and biochemistry, such as enzyme-linked immunosorbent assay, point-of-care diagnosis, and so on. As manufacturing technology advances, the characteristic dimensions of biochip systems keep shrinking, and tens of thousands of microvalves can now be integrated into a coin-sized microfluidic platform, making the conventional manual-based chip design no longer applicable. Accordingly, computer-aided design (CAD) of microfluidics has attracted considerable research interest in the EDA community over the past decade. This review article presents recent advances in the design automation of biochips, involving CAD techniques for architectural synthesis, wash optimization, testing, fault diagnosis, and fault-tolerant design. With the help of these CAD tools, chip designers can be released from the burden of complex, large-scale design tasks. Meanwhile, new chip architectures can be explored automatically to open new doors to meet requirements from future large-scale biological experiments and medical diagnosis. We discuss key trends and directions for future research that are related to enable microfluidics to reach its full potential, thus further advancing the development and progression of the microfluidics industry.

Funder

Technical University of Munich–Institute for Advanced Study

Natural Science Foundation of Fujian Province

Humboldt Research Fellowship from the Alexander von Humboldt Foundation

National Natural Science Foundation of China

Foundation of Ministry of Science and Technology

Deutsche Forschungsgemeinschaft (DFG) through TUM International Graduate School of Science and Engineering

National Science Foundation

German Excellence Initiative and the European Union Seventh Framework Programme

TUM University Foundation Fellowship from Technical University of Munich

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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