© 2006

Design Automation Methods and Tools for Microfluidics-Based Biochips

  • Krishnendu Chakrabarty
  • Jun Zeng

Table of contents

  1. Front Matter
    Pages I-IX
  2. Jan Lienemann, Andreas Greiner, Jan G. Korvink
    Pages 53-84
  3. Xin Wang, Joe Kanapka, Wenjing Ye, Narayan Aluru, Jacob White
    Pages 85-107
  4. Michael D. Altman, Jaydeep P. Bardhan, Bruce Tidor, Jacob K. White
    Pages 143-168
  5. Aditya S. Bedekar, Yi Wang, S. Krishnamoorthy, Sachin S. Siddhaye, Shivshankar Sundaram
    Pages 189-214
  6. Ryan Magargle, James F. Hoburg, Tamal Mukherjee
    Pages 215-233
  7. Andrew B. Kahng, Ion I. Măndoiu, Sherief Reda, Xu Xu, Alex Z. Zelikovsky
    Pages 235-269
  8. Anton J. Pfeiffer, Tamal Mukherjee, Steinar Hauan
    Pages 271-300
  9. Eric J. Griffth, Srinivas Akella, Mark K. Goldberg
    Pages 329-356
  10. Sungroh Yoon, Luca Benini, Giovanni De Micheli
    Pages 357-400
  11. Back Matter
    Pages 401-403

About this book


Microfluidics-based biochips, also known as lab-on-a-chip or bio-MEMS, are becoming increasingly popular for DNA analysis, clinical diagnostics, and the detection/manipulation of bio-molecules. As the use of microfluidics-based biochips increases, their complexity is expected to become significant due to the need for multiple and concurrent assays on the chip, as well as more sophisticated control mechanisms for resource management. Time-to-market and fault tolerance are also expected to emerge as design considerations. As a result, current full-custom design techniques will not scale well for larger designs. There is a need to deliver the same level of CAD support to the biochip designer that the semiconductor industry now takes for granted.

Design Automation Methods and Tools for Microfluidics-Based Biochips deals with all aspects of design automation for microfluidics-based biochips. Experts have contributed chapters on various aspects of biochip design automation. Topics include device modeling; adaptation of bioassays for on-chip implementations; numerical methods and simulation tools; architectural synthesis, scheduling and binding of assay operations; physical design and module placement; fault modeling and testing; reconfiguration methods.


biochip biochips complexity computer computer-aided design (CAD) design automation diagnostics fault tolerance integrated circuit lab-on-a-chip microelectromechanical system (MEMS) microfluidics semiconductor simulation testing

Editors and affiliations

  • Krishnendu Chakrabarty
    • 1
  • Jun Zeng
    • 2
  1. 1.Duke UniversityDurhamU.S.A.
  2. 2.Coventor Inc.CambridgeU.S.A.

Bibliographic information

Industry Sectors
Chemical Manufacturing
Consumer Packaged Goods
Materials & Steel
Energy, Utilities & Environment
Oil, Gas & Geosciences