Alan Dong

EECS Department, University of California, Berkeley

Technical Report No. UCB/

May 1, 2024

http://www2.eecs.berkeley.edu/Pubs/TechRpts/Hold/200bea1b093572b29090d8525a981ed0.pdf

Microfluidic Impedance Cytometry (MIC) platforms are versatile and powerful systems used in biomedical research to measure various cellular properties at the single-cell level at high throughput. As such, many MIC-based technologies have been developed in recent years, including Node-Pore Sensing (NPS), a variant of the ubiquitous Resistive Pulse Sensing (RPS). NPS allows researchers to analyze cells without sample preparation steps like fluorescent or magnetic tagging, which makes it a label-free sensing technology. And because NPS is a completely electronic system that performs a straightforward electrical impedance measurement, it utilizes relatively low-cost components and low-complexity circuits, making it a robust and easy-to-implement sensing platform. These same features also make NPS easily extensible and compatible with other technologies, which presents opportunities for integration into even more capable systems.

In this dissertation, I introduce a new technology called Metal Pad Sensing Metal Pad Sensing (MPS), which is another variant of RPS that borrows ideas from NPS, but compared to NPS, MPS offers distinct advantages and augments the design space, which unlocks both enhanced performance and expanded capabilities. First, I introduce the MPS concept and extensively study it using theory, modeling, and experimental characterization. Next, I describe the integration of MPS into an RPS-based system to demonstrate its potential to reveal new insights into cellular mechanics and improve label-free mechanophenotyping. Finally, I present design methods and data processing algorithms that enable multichannel NPS measurements, but are equally applicable to multichannel MPS. These innovations in theory, application, design, and algorithms pave the way for next-generation MPS-enabled MIC platforms that can advance biological sciences or improve clinical outcomes.

Advisors: Michael Lustig

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BibTeX citation:

@phdthesis{Dong:31521,
    Author= {Dong, Alan},
    Title= {Metal Pad Sensing: Theory, Application, Design, and Algorithms},
    School= {EECS Department, University of California, Berkeley},
    Year= {2024},
    Number= {UCB/},
    Abstract= {Microfluidic Impedance Cytometry (MIC) platforms are versatile and powerful systems used in biomedical research to measure various cellular properties at the single-cell level at high throughput. As such, many MIC-based technologies have been developed in recent years, including Node-Pore Sensing (NPS), a variant of the ubiquitous Resistive Pulse Sensing (RPS). NPS allows researchers to analyze cells without sample preparation steps like fluorescent or magnetic tagging, which makes it a label-free sensing technology. And because NPS is a completely electronic system that performs a straightforward electrical impedance measurement, it utilizes relatively low-cost components and low-complexity circuits, making it a robust and easy-to-implement sensing platform. These same features also make NPS easily extensible and compatible with other technologies, which presents opportunities for integration into even more capable systems.

In this dissertation, I introduce a new technology called Metal Pad Sensing Metal Pad Sensing (MPS), which is another variant of RPS that borrows ideas from NPS, but compared to NPS, MPS offers distinct advantages and augments the design space, which unlocks both enhanced performance and expanded capabilities. First, I introduce the MPS concept and extensively study it using theory, modeling, and experimental characterization. Next, I describe the integration of MPS into an RPS-based system to demonstrate its potential to reveal new insights into cellular mechanics and improve label-free mechanophenotyping. Finally, I present design methods and data processing algorithms that enable multichannel NPS measurements, but are equally applicable to multichannel MPS. These innovations in theory, application, design, and algorithms pave the way for next-generation MPS-enabled MIC platforms that can advance biological sciences or improve clinical outcomes.},
}

EndNote citation:

%0 Thesis
%A Dong, Alan 
%T Metal Pad Sensing: Theory, Application, Design, and Algorithms
%I EECS Department, University of California, Berkeley
%D 2024
%8 May 1
%@ UCB/
%F Dong:31521