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Updated: Jul 6, 2025

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Measurement of the Compressibility of Cell and Nucleus Based on Acoustofluidic Microdevice
Published on: July 14, 2022
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MACHINE LEARNING ENABLES QUANTIFYING CELL-JANUS PARTICLE CONJUGATES THROUGH MICROFLOWING IMPEDANCE SIGNALS
Brandon K Ashley1, Jianye Sui2, Mehdi Javanmard1,2
1Department of Biomedical Engineering, Rutgers University, Piscataway, USA.
Abstract:
In this work, we demonstrate the differentiation of demodulated multifrequency signals from impedance sensitive microparticles when targeting surface receptors on neutrophils in a microfluidic impedance cytometer. These scheme uses a single signal input and detection configuration, and machine learning can differentiate particle types with up to 82% accuracy.

