Robustness Analysis for Droplet-Based Microfluidic Networks

Fink, Gerold; Grimmer, Andreas; Hamidović, Medina; Haselmayr, Werner; Wille, Robert

doi:10.1109/tcad.2019.2962777

Cited by 12 publications

(2 citation statements)

References 37 publications

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“…Design automation methods for two-phase microfluidics [37,38,39,40,41], in which droplets are formed and merged inside of an immiscible carrier fluid, necessarily integrate physics models [42,43]. Here, the objective is to passively route payload droplets in a fixed-geometry microfluidic channel network using the presence of control droplets whose contents do not directly take part in a chemical reaction [44].…”

Section: Related Workmentioning

confidence: 99%

Multi-Objective Design Automation for Microfluidic Capture Chips

Chen

Grover

Sridharan

et al. 2023

IEEE Trans.on Nanobioscience

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would not have been here. He has given me the opportunity to pursue a graduate degree, which is a first in my family, extended an all. I greatly appreciate his quick but extremely detailed emails to my many questions due to my being new to the graduate program and few to rely on to help me. I would also like to thank the rest of my committee, Dr. William Grover and Dr. Manu Sridharan, for their helpful guidance through this research. Overall, I am grateful for all the professors' efforts to make the research process as smooth and painless as possible, even during the middle of a pandemic.Although there are many UCR staff out there that is extremely helpful and attentive to students' needs, I would like to especially thank Vanda Yamaguchi, the Graduate Student Services Supervisor. I know she is extremely busy with many graduate students to manage. Thank you for always somehow returning my emails in a timely manner and patience for my many questions throughout the years. I also would like to thank my friends, both current and new, who have helped and supported me throughout the graduate degree process and switching to the Computer Science field. I especially want to thank

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Section: Related Workmentioning

confidence: 99%

Multi-Objective Design Automation for Microfluidic Capture Chips

Chen

Grover

Sridharan

et al. 2023

IEEE Trans.on Nanobioscience

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show abstract

“…fulfills certain objectives, as well as conduct the dimensioning to obtain a proper specification. Moreover, the resulting designs afterwards can also be used to automatically generate proper droplet sequences [20] as well as to evaluate the robustness of the resulting design [11].…”

Section: Design Automationmentioning

confidence: 99%

Design and realization of flexible droplet-based lab-on-a-chip devices

Fink

Hamidović²,

Springer³

et al. 2020

Elektrotech. Inftech.

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This article provides an overview on the emerging field of droplet-based microfluidic networks. In such networks, droplets i.e., encapsulating biochemical samples can be adaptively transported via microchannels through different operations for particular experiments. This approach is particularly promising for the next generation of lab-on-a-chip devices, which should support more complex operations and more flexibility. We give an accessible introduction to droplet-based microfluidics and describe the principles, of microfluidic switches, which are the main components in microfluidic networks. Based on these principles we present the addressing schemes for microfluidic bus networks. Since the design of microfluidic networks is a rather complex task, which requires the consideration of a huge number of physical parameters, we introduce design automation methods and simulation tools. Finally, we present a method for the precise generation of individual droplets, which enables the practical realization of microfluidic networks. Moreover, we show the latest experimental results on droplet generation and switching. Keywords: droplet-based microfluidics; lab-on-a-chip; microfluidic networks Design und Realisierung von flexiblen tröpfchenbasierten Chiplaboren: Von der Theory zur Praxis. Dieser Artikel gibt einen Überblick über das Forschungsfeld der mikrofluidischen Netzwerke. In solchen Netzwerken werden Tröpfchen (die bspw. biochemische Proben enthalten) adaptiv durch verschiedene Prozessstufen über Mikrometer-dünne Kanäle transportiert, um bestimmte Untersuchungen durchzuführen. Dieser neue Ansatz ist vor allem für die nächste Generation an Chiplaboren (engl. lab-on-a-chip) sehr vielversprechend, welche komplexere Operationen und mehr Flexibilität unterstützen sollen. Wir besprechen die Grundlagen tröpfchenbasierter Mikrofluidik und beschreiben die Prinzipien mikrofluidischer Schalter (engl. switch), welche die Hauptkomponenten in mikrofluidischen Netzwerken darstellen. Basierend auf diesen Prinzipien stellen wird die Adressierungsschemas in mikrofluidischen Busnetzwerken vor. Da der Entwurf von mikrofluidischen Netzwerken eine komplexe Aufgabe ist, bei der eine große Anzahl von physikalischen Parametern berücksichtigt werden muss, stellen wir verschiedene Ansätze zur Entwurfsautomatisierung und Simulation vor. Schließlich präsentieren wir eine Methode zur präzisen Erzeugung von Tröpfchen, die eine praktische Realisierung von mikrofluidischen Netzwerken ermöglichen soll. Weiters zeigen wir die neuesten experimentellen Ergebnisse zur Tröpfchengenerierung bzw. zur Realisierung von Schaltern.

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Quasi-static scheduling based error recovery for Digital microfluidic biochips

Rajesh

Pyne²

2022

Microprocessors and Microsystems

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Robustness Analysis for Droplet-Based Microfluidic Networks

Cited by 12 publications

References 37 publications

Multi-Objective Design Automation for Microfluidic Capture Chips

Multi-Objective Design Automation for Microfluidic Capture Chips

Design and realization of flexible droplet-based lab-on-a-chip devices

Quasi-static scheduling based error recovery for Digital microfluidic biochips

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