Microfluidic Very Large Scale Integration (VLSI)

Modeling, Simulation, Testing, Compilation and Physical Synthesis

Nonfiction, Science & Nature, Technology, Electronics, Circuits, Engineering
Cover of the book Microfluidic Very Large Scale Integration (VLSI) by Paul Pop, Wajid Hassan Minhass, Jan Madsen, Springer International Publishing
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Author: Paul Pop, Wajid Hassan Minhass, Jan Madsen ISBN: 9783319295992
Publisher: Springer International Publishing Publication: February 8, 2016
Imprint: Springer Language: English
Author: Paul Pop, Wajid Hassan Minhass, Jan Madsen
ISBN: 9783319295992
Publisher: Springer International Publishing
Publication: February 8, 2016
Imprint: Springer
Language: English

This book presents the state-of-the-art techniques for the modeling, simulation, testing, compilation and physical synthesis of mVLSI biochips.  The authors describe a top-down modeling and synthesis methodology for the mVLSI biochips, inspired by microelectronics VLSI methodologies. They introduce a modeling framework for the components and the biochip architecture, and a high-level microfluidic protocol language. Coverage includes a topology graph-based model for the biochip architecture, and a sequencing graph to model for biochemical application, showing how the application model can be obtained from the protocol language. The techniques described facilitate programmability and automation, enabling developers in the emerging, large biochip market.

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This book presents the state-of-the-art techniques for the modeling, simulation, testing, compilation and physical synthesis of mVLSI biochips.  The authors describe a top-down modeling and synthesis methodology for the mVLSI biochips, inspired by microelectronics VLSI methodologies. They introduce a modeling framework for the components and the biochip architecture, and a high-level microfluidic protocol language. Coverage includes a topology graph-based model for the biochip architecture, and a sequencing graph to model for biochemical application, showing how the application model can be obtained from the protocol language. The techniques described facilitate programmability and automation, enabling developers in the emerging, large biochip market.

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