Sean Fischer

From Murmann Mixed-Signal Group

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BSEE, University of Connecticut, 2013

MSEE, Stanford University, 2015

Ph.D. Candidacy, Stanford University, 2015 - present

Email: seanrf AT stanford DOT edu

Contents

Low-Noise Potentiostat Array for Affinity-Free Protein Detection

Protein Detection in Chemical Domain

Mainstream affinity-based assays sense proteins in the chemical domain by binding the target to a surface. Unbound proteins are washed away, while the target is identifed via optical, electrical, or mechanical means. Assays which rely on chemical domain processing generally require a central laboratory where climate, equipment, and reagents are maintained, which contributes to rising healthcare costs.

Moving Protein Detection into Computational Domain

Chemical processing reduces the dimensionality of the data moved into the computational domain, where the assay is ultimately completed. Affinity-based assays reduce the data dimensionality so much that the computational power of a human observer is sufficient to complete the assay. This was a huge advantage in the 1970's when affinity-based assays as we know them today were first developed, since computational power was limited. Today's machines, however, enable computationally intensive data-driven techniques for understanding high dimensional data. We are collaborating with Roger Howe (Stanford University) and Chaitanya Gupta (ProbiusDx, San Jose) to develop a computationally-based assay with minimal chemical processing. The chemical section of the assay is cyclic voltammetry of an electrochemical interface designed to couple the vibrational energy of proteins in solution to the DC current flowing through the interface. My work focuses on the implementation of the electrical interface which bridges the chemical and computational domains. By understanding which data is relevant for protein identification and which data may be ignored, we can maximize the efficiency of the interface. 


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References

[1] C. Gupta, R. M. Walker, R. Gharpuray, M. M. Shulaker, Z. Zhang, M. Javanmard, R.W. Davis, B. Murmann, and R. T. Howe, “Electrochemical quantum tunneling for electronic detection and characterization of biological toxins,” Proceedings of SPIE, vol. 8373, p. 837303 (14pp), 2012.

[2] C. Gupta, R.M. Walker, S. Chang, S. Fischer, M. Seal, B. Murmann, and R.T. Howe, "Quantum Tunneling Currents in a Nanoengineered Electrochemical System," The Journal of Physical Chemistry C Article ASAP DOI: 10.1021/acs.jpcc.7b04350

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