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author:

Huang, Xing (Huang, Xing.) [1] | Ho, Tsung-Yi (Ho, Tsung-Yi.) [2] | Guo, Wenzhong (Guo, Wenzhong.) [3] | Li, Bing (Li, Bing.) [4] | Chakrabarty, Krishnendu (Chakrabarty, Krishnendu.) [5] | Schlichtmann, Ulf (Schlichtmann, Ulf.) [6]

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EI

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can now be integrated into a coin-sized microfluidic platform, making the conventional manual-based chip design no longer applicable.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. © 2021 ACM.

Keyword:

Biochips Computer aided design Diagnosis Lab-on-a-chip Microfluidics

Community:

  • [ 1 ] [Huang, Xing]Chair of Electronic Design Automation, Technical University of Munich, Munich; 80333, Germany
  • [ 2 ] [Ho, Tsung-Yi]Department of Computer Science, National Tsing Hua University, Hsinchu; 30013, Taiwan
  • [ 3 ] [Guo, Wenzhong]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Li, Bing]Chair of Electronic Design Automation, Technical University of Munich, Munich; 80333, Germany
  • [ 5 ] [Chakrabarty, Krishnendu]Department of Electrical and Computer Engineering, Duke University, Durham; NC; 27708, United States
  • [ 6 ] [Schlichtmann, Ulf]Chair of Electronic Design Automation, Technical University of Munich, Munich; 80333, Germany

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Source :

ACM Computing Surveys

ISSN: 0360-0300

Year: 2021

Issue: 5

Volume: 54

1 4 . 3 2 4

JCR@2021

2 3 . 8 0 0

JCR@2023

ESI HC Threshold:106

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 27

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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