The Internet of Microfluidic Things: Perspectives on System Architecture and Design Challenges: Invited Paper

The integration of microfluidics and biosensor technology is transforming microbiology research by providing new capabilities for clinical diagnostics, cancer research, and pharmacology studies. This integration enables new approaches for biochemistry automation and cyber-physical adaptation. Similarly, recent years have witnessed the rapid growth of the Internet of Things (IoT) paradigm, where different types of real-world elements such as wearable sensors are connected and allowed to autonomously interact with each other. Combining the advances of both cyber-physical microfluidics and IoT domains can generate new opportunities for knowledge fusion by transforming distributed local microfluidic elements into a global network of coordinated microfluidic systems. This paper aims to streamline this transformation and it presents a research vision for enabling the Internet of Microfluidic Things (IoMT). To leverage advances in connected Microfluidic Things, we highlight new perspectives on system architecture, and describe technical challenges related to design automation, temporal flexibility, security, and service assignment. This vision is supported by case studies from cancer research and pharmacology studies to explain the significance of the proposed framework.

[1]  Murat Cirit,et al.  Integrated gut/liver microphysiological systems elucidates inflammatory inter‐tissue crosstalk , 2017, Biotechnology and bioengineering.

[2]  Ning Hu,et al.  Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors , 2017, Proceedings of the National Academy of Sciences.

[3]  Ronan M. T. Fleming,et al.  Automated microuidic cell culture of stem cell derived dopaminergic neurons in Parkinson’s disease , 2017, bioRxiv.

[4]  S. Pineda,et al.  Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer , 2015, PLoS genetics.

[5]  W. Hsu,et al.  Wireless EWOD/DEP chips powered and controlled through LC circuits and frequency modulation. , 2014, Lab on a chip.

[6]  Richard B. Fair,et al.  Digital microfluidics: is a true lab-on-a-chip possible? , 2007 .

[7]  Mohamed Ibrahim,et al.  Fault-tolerant valve-based microfluidic routing fabric for droplet barcoding in single-cell analysis , 2018, 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[8]  Mohamed Ibrahim,et al.  Cyber–Physical Digital-Microfluidic Biochips: Bridging the Gap Between Microfluidics and Microbiology , 2018, Proceedings of the IEEE.

[9]  Shiyan Hu,et al.  Design Automation of Cyber-Physical Systems: Challenges, Advances, and Opportunities , 2017, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[10]  Thomas Bartzanas,et al.  Internet of Things in agriculture, recent advances and future challenges , 2017 .

[11]  William H. Grover,et al.  Development and multiplexed control of latching pneumatic valves using microfluidic logical structures. , 2006, Lab on a chip.

[12]  Mohamed Ibrahim,et al.  Keynote Paper: From EDA to IoT eHealth: Promises, Challenges, and Solutions , 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[13]  Mohamed Ibrahim,et al.  Synthesis of a Cyberphysical Hybrid Microfluidic Platform for Single-Cell Analysis , 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[14]  Donald E Ingber,et al.  Microfabrication of human organs-on-chips , 2013, Nature Protocols.

[15]  R. Fair,et al.  Droplet-based microfluidic lab-on-a-chip for glucose detection , 2004 .

[16]  DA Lauffenburger,et al.  Physiome-on-a-Chip: The Challenge of “Scaling” in Design, Operation, and Translation of Microphysiological Systems , 2015, CPT: pharmacometrics & systems pharmacology.

[17]  Mohamed Ibrahim,et al.  Secure and Trustworthy Cyberphysical Microfluidic Biochips: A practical guide to cutting-edge design techniques for implementing secure and trustworthy cyberphysical microfluidic biochips , 2019 .

[18]  P. Lio’,et al.  Multi –omics and metabolic modelling pipelines: challenges and tools for systems microbiology , 2015, bioRxiv.

[19]  Anurag Agarwal,et al.  The Internet of Things—A survey of topics and trends , 2014, Information Systems Frontiers.

[20]  David R. Klug,et al.  Multiplexed single cell protein expression analysis in solid tumours using a miniaturised microfluidic assay , 2017 .

[21]  Mohamed Ibrahim,et al.  CoSyn: Efficient single-cell analysis using a hybrid microfluidic platform , 2017, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017.

[22]  Paul Pop,et al.  Architectural synthesis of flow-based microfluidic large-scale integration biochips , 2012, CASES '12.

[23]  Ulf Schlichtmann,et al.  Columba 2.0: A Co-Layout Synthesis Tool for Continuous-Flow Microfluidic Biochips , 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[24]  Yao-Wen Chang,et al.  BioRoute: A Network-Flow-Based Routing Algorithm for the Synthesis of Digital Microfluidic Biochips , 2008, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[25]  David Gomez-Cabrero,et al.  Data integration in the era of omics: current and future challenges , 2014, BMC Systems Biology.

[26]  Paul Pop,et al.  Design Methodology for Digital Microfluidic Biochips , 2016 .

[27]  Sherali Zeadally,et al.  Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies , 2015, IEEE Wireless Communications.

[28]  Y. Koucheryavy,et al.  The internet of Bio-Nano things , 2015, IEEE Communications Magazine.

[29]  Mohamed Ibrahim,et al.  Sortex: Efficient timing-driven synthesis of reconfigurable flow-based biochips for scalable single-cell screening , 2017, 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[30]  Krishnendu Chakrabarty,et al.  BioCyBig: A Cyberphysical System for Integrative Microfluidics-Driven Analysis of Genomic Association Studies , 2020, IEEE Transactions on Big Data.

[31]  Shiyan Hu,et al.  Physical-Level Synthesis for Digital Lab-On-a-Chip Considering Variation, Contamination, and Defect , 2014, IEEE Transactions on NanoBioscience.

[32]  Mohamed Ibrahim,et al.  Cyberphysical adaptation in digital-microfluidic biochips , 2016, 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS).

[33]  Mohsen Guizani,et al.  Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[34]  Nada Amin,et al.  Computer-aided design for microfluidic chips based on multilayer soft lithography , 2009, 2009 IEEE International Conference on Computer Design.

[35]  Mohamed Ibrahim,et al.  A real-time digital-microfluidic platform for epigenetics , 2016, 2016 International Conference on Compliers, Architectures, and Sythesis of Embedded Systems (CASES).

[36]  Jungkyu Kim,et al.  Pneumatically actuated microvalve circuits for programmable automation of chemical and biochemical analysis. , 2016, Lab on a chip.

[37]  Nader Mohamed,et al.  Challenges in middleware solutions for the internet of things , 2012, 2012 International Conference on Collaboration Technologies and Systems (CTS).

[38]  Ian F. Akyildiz,et al.  The Internet of nano-things , 2010, IEEE Wireless Communications.

[39]  Mandy B. Esch,et al.  TEER Measurement Techniques for In Vitro Barrier Model Systems , 2015, Journal of laboratory automation.

[40]  Juergen Jasperneite,et al.  The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0 , 2017, IEEE Industrial Electronics Magazine.

[41]  Homayoun Najjaran,et al.  Microfluidics Integrated Biosensors: A Leading Technology towards Lab-on-a-Chip and Sensing Applications , 2015, Sensors.

[42]  Mohamed Ibrahim,et al.  Experimental demonstration of error recovery in an integrated cyberphysical digital-microfluidic platform , 2015, 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS).

[43]  Sneha A. Dalvi,et al.  Internet of Things for Smart Cities , 2017 .

[44]  R. Fair,et al.  A digital microfluidic biosensor for multianalyte detection , 2003, The Sixteenth Annual International Conference on Micro Electro Mechanical Systems, 2003. MEMS-03 Kyoto. IEEE.

[45]  Mohamed Ibrahim,et al.  Integrated and real-time quantitative analysis using cyberphysical digital-microfluidic biochips , 2016, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[46]  Murat Cirit,et al.  Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies , 2018, Scientific Reports.

[47]  Kevin Ashton,et al.  That ‘Internet of Things’ Thing , 1999 .

[48]  Mohamed Ibrahim,et al.  Synthesis of Cyberphysical Digital-Microfluidic Biochips for Real-Time Quantitative Analysis , 2017, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[49]  B. B. Zaidan,et al.  A review of smart home applications based on Internet of Things , 2017, J. Netw. Comput. Appl..

[50]  Claudio Battilocchio,et al.  Enabling Technologies for the Future of Chemical Synthesis , 2016, ACS central science.

[51]  Linda G. Griffith,et al.  Design, modeling and fabrication of a constant flow pneumatic micropump , 2007 .

[52]  Mohamed Ibrahim,et al.  Efficient Error Recovery in Cyberphysical Digital-Microfluidic Biochips , 2015, IEEE Transactions on Multi-Scale Computing Systems.

[53]  M. Ritchie,et al.  Methods of integrating data to uncover genotype–phenotype interactions , 2015, Nature Reviews Genetics.

[54]  Scott Sanner,et al.  Deep Learning with Microfluidics for Biotechnology. , 2019, Trends in biotechnology.