By Kai Hu, Krishnendu Chakrabarty, Tsung-Yi Ho
This booklet presents a finished assessment of flow-based, microfluidic VLSI. The authors describe and remedy in a accomplished and holistic demeanour functional demanding situations comparable to keep watch over synthesis, wash optimization, layout for testability, and prognosis of recent flow-based microfluidic biochips. They introduce useful strategies, according to rigorous optimization and formal versions. The technical contributions offered during this e-book won't in simple terms shorten the product improvement cycle, but in addition speed up the adoption and additional improvement of recent flow-based microfluidic biochips, by way of facilitating the whole exploitation of layout complexities which are attainable with present fabrication techniques.
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Extra resources for Computer-Aided Design of Microﬂuidic Very Large Scale Integration (mVLSI) Biochips
3 as an example. , surface treatment reagents, staining reagents, and flushing reagents; (2) increase the number of mixers to support different mixing ratio; (3) increase the number of chambers for more control groups and higher throughput. Therefore, the total number of activation patterns grows as O(mnl), where m is the branch count of the multiplexer, n is the number of mixers, and l is the number of culture chambers. ) The rapid increase in the number of possible valve-activation patterns clearly makes the generation of a complete control-logic table infeasible.
Otherwise, the failed routing attempt will be recorded in a fault list for feedback. Steps 10–12: The routing priorities of all valve pairs in the fault list will be increased. Moreover, an upper limit will be set to the routing priority. Valve pairs whose routing priorities exceed this limit will be labeled “unroutable”. To avoid any further attempts to route “unroutable” valve pairs, the compatibility graph will be updated by removing edges between them. As a result, valve addressing based on the new compatibility graph will assign unroutable valves into different cliques, though more control pins may be required due to the loss of compatibility.
J. Electron. Test. 27(3), 375–387 (2011) 80. K. Chakrabarty, F. Su, Digital Microfluidic Biochips: Synthesis, Testing, and Reconfiguration Techniques (CRC Press, 2006) 81. H. Hassanin, A. Mohammadkhani, K. Jiang, Fabrication of hybrid nanostructured arrays using a PDMS/PDMS replication process. Lab Chip 12(20), 4160–4167 (2012) 82. v=xWdRczefirs. Accessed 05 Jan 2017 Chapter 2 Control-Layer Optimization In this chapter, we present the first practical problem formulation for automated control-layer design in flow-based mVLSI biochips and propose a systematic approach for solving this problem.