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A Heuristic Algorithm for Module Placement in Digital Microfluidic Biochips

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Advances in VLSI and Embedded Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 962))

Abstract

Digital Microfluidics is rapidly evolving to automate procedures in biochemistry and molecular biology laboratories. Digital microfluidic biochip (DMFB) is a lab-on-chip (LOC) systems platform. DMFB technology offers abundant spatial parallelism and is inherently programmable based on micro-droplet manipulation on a miniaturized chip. DMFBs have evolved as an alternative to conventional biochemical laboratories. Droplets are transported, dispensed, analyzed, stored, reacted, or mixed on a platform with the help of insulated electrodes. DMFBs work with discrete droplet manipulation rather than continuous liquid flow. Several adjacent cells form a module that will carry out the required functionalities such as mixing, dilution, and detection. Module placement is an important task, and in this work, we formulate and solve the placement problem in DMFBs using a simple heuristic method. Modules should be placed according to the schedule inputted with minimum deviation and use as little area as possible to facilitate fault-tolerance. Two popular bioassays, multiplexed in vitro diagnostics and Colorimetric protein assay, are used for experimental evaluation.

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References

  1. Chen, Y. H., Hsu, C. L., Tsai, L. C., Huang, T. W., & Ho, T. Y. (2013). A reliability-oriented placement algorithm for reconfigurable digital microfluidic biochips using 3-D deferred decision making technique. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 32(8), 1151–1162.

    Article  Google Scholar 

  2. Yuh, P.H., Yang, C.L. and Chang, Y.W., 2007. Placement of defect-tolerant digital microfluidic biochips using the T-tree formulation. ACM Journal on Emerging Technologies in Computing Systems (JETC), 3(3), pp.13-es.

    Google Scholar 

  3. Su, F., & Chakrabarty, K. (2004). Module placement for fault-tolerant microfluidics-based biochips. ACM Transactions on Design Automation of Electronic Systems (TODAES), 11(3), 682–710.

    Article  Google Scholar 

  4. Su, F. and Chakrabarty, K., 2005, June. Unified high-level synthesis and module placement for defect-tolerant microfluidic biochips. In Proceedings of the 42nd annual Design Automation Conference (pp. 825-830).

    Google Scholar 

  5. Maftei, E., Pop, P. and Madsen, J., 2009, October. Tabu search-based synthesis of dynamically reconfigurable digital microfluidic biochips. In Proceedings of the 2009 international conference on Compilers, Architecture, and Synthesis for Embedded Systems (pp. 195-204).

    Google Scholar 

  6. Rajesh, K., & Pyne, S. (2021). Invasive weed optimization based scheduling for digital microfluidic biochip operations. Integration, 76, 122–134.

    Article  Google Scholar 

  7. Grissom, D. T., & Brisk, P. (2014). Fast online synthesis of digital microfluidic biochips. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 33(3), 356–369.

    Article  Google Scholar 

  8. Roy, P., Roy, S., Rahaman, H. and Dasgupta, P., 2011, August. A novel placement algorithm for multi-pin digital microfluidic biochips. In 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS) (pp. 1-4). IEEE.

    Google Scholar 

  9. Rajesh, K., Tirkey, A., Sarkar, A. and Pyne, S., 2020, July. Reinforcement Learning based Droplet Routing Algorithm for Digital Microfluidic Biochips. In 2020 24th International Symposium on VLSI Design and Test (VDAT) (pp. 1-6). IEEE.

    Google Scholar 

  10. Su, F. and Chakrabarty, K., 2006. Benchmarks for digital microfluidic biochip design and synthesis. Duke University Department ECE.

    Google Scholar 

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Correspondence to Kolluri Rajesh .

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Rajesh, K., Tipparaju, R., Pyne, S. (2023). A Heuristic Algorithm for Module Placement in Digital Microfluidic Biochips. In: Darji, A.D., Joshi, D., Joshi, A., Sheriff, R. (eds) Advances in VLSI and Embedded Systems. Lecture Notes in Electrical Engineering, vol 962. Springer, Singapore. https://doi.org/10.1007/978-981-19-6780-1_19

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  • DOI: https://doi.org/10.1007/978-981-19-6780-1_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-6779-5

  • Online ISBN: 978-981-19-6780-1

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