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John S. McGrath

Researcher at University of Virginia

Publications -  11
Citations -  561

John S. McGrath is an academic researcher from University of Virginia. The author has contributed to research in topics: Computer science & Microfluidics. The author has an hindex of 6, co-authored 9 publications receiving 402 citations. Previous affiliations of John S. McGrath include Heriot-Watt University.

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Deterministic lateral displacement for particle separation: a review

TL;DR: Many interesting publications are collated to provide a comprehensive review of the development and diversity of this technology but also provide scope for future direction and detail the fundamentals for those wishing to design such devices for the first time.
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Analysis of Parasitic Protozoa at the Single-cell Level using Microfluidic Impedance Cytometry

TL;DR: The use of Microfluidic Impedance Cytometry (MIC) was used to characterise the AC electrical (impedance) properties of single parasites and demonstrate rapid discrimination based on viability and species, which offers a reduction in identification time and labour demands when compared to existing detection methods.
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A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry

TL;DR: This paper explores the use of neural networks for fast label-free particle characterization during microfluidic impedance cytometry using a recurrent neural network designed to process data from a novel impedance chip layout for enabling real-time multiparametric analysis of the measured impedance data streams.
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Electrophysiology-based stratification of pancreatic tumorigenicity by label-free single-cell impedance cytometry

TL;DR: It is envisioned that impedance cytometry can serve as a tool to quantify phenotypic heterogeneity for rapidly stratifying tumorigenicity and aid in protocols for dielectrophoretic isolation of cells with a particular phenotype for prognostic studies on patient survival and to tailor therapy selection to specific patients.
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Minimum Bactericidal Concentration of Ciprofloxacin to Pseudomonas aeruginosa Determined Rapidly Based on Pyocyanin Secretion.

TL;DR: Electrochemical detection of pyocyanin (PYO) can be used to rapidly assess the critical ciprofloxacin level required for bactericidal deactivation of P. aeruginosa within just 2 hours in antibiotic-treated growth media.