By Fei Su, Krishnendu Chakrabarty (auth.), Krishnendu Chakrabarty, Jun Zeng (eds.)

Microfluidics-based biochips, sometimes called lab-on-a-chip or bio-MEMS, have gotten more and more well known for DNA research, scientific diagnostics, and the detection/manipulation of bio-molecules. because the use of microfluidics-based biochips raises, their complexity is anticipated to develop into major a result of desire for a number of and concurrent assays at the chip, in addition to extra refined keep watch over mechanisms for source administration. Time-to-market and fault tolerance also are anticipated to come to be layout concerns. for that reason, present full-custom layout thoughts won't scale good for greater designs. there's a have to carry an analogous point of CAD aid to the biochip dressmaker that the semiconductor now takes for granted.

Design Automation equipment and instruments for Microfluidics-Based Biochips offers with all points of layout automation for microfluidics-based biochips. specialists have contributed chapters on a number of facets of biochip layout automation. themes comprise gadget modeling; model of bioassays for on-chip implementations; numerical equipment and simulation instruments; architectural synthesis, scheduling and binding of assay operations; actual layout and module placement; fault modeling and checking out; reconfiguration methods.

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Fig. 2-5 shows a simulation of a transient process of droplet fission, that is, one droplet is cut into two smaller ones by EWOD. As shown in Fig. 2-5(a), the electrodes are aligned along the x direction, and a droplet initially is centered in between two neighboring electrodes. Upon application of a voltage to all the electrodes, a spatial disparity of f EWOD is created. It may be observed that the contact angle at the tri-phase contact point closer to the electrodes (the vicinity of points W and E) is smaller than that at the tri-phase contact point further from the electrodes (the vicinity of points N and S).

B. Fair, Microelectrofluidic Systems: Modeling and Simulation, CRC Press, Boca Raton, FL, 2002. T. Thorsen, S. Maerkl and S. Quake, “Microfluidic large-scale integration”, Science, vol. 298, pp. 580-584, 2002. E. Verpoorte and N. F. De Rooij, “Microfluidics meets MEMS”, Proceedings of the IEEE, vol. 91, pp. 930-953, 2003. T. H. Schulte, R. L. Bardell and B. H. Weigl “Microfluidic technologies in clinical diagnostics”, Clinica Chimica Acta, vol. 321, pp. 1-10, 2002. V. Srinivasan, V. K. Pamula, and R.

The gray scale in Fig. 2-8(b) indicates the concentration of individual chemical compounds. The dark color in the last snapshot of Fig. 2-8(b) indicates that chemical E has been generated. This simulation has demonstrated the possibility of full degree of freedom control over droplets on the two-dimensional reaction surface by using an individually addressable two-dimensional electrode array. When droplets are used as carriers of biochemical agents, such control enables programmed chemical reactions, that is, desired chemical reactions will occur at desired sites at desired times – the essence of digital microfluidics.

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