Work

Node-Pore Coded Coincidence Correction: Coulter Counters, Code Design, and Sparse Deconvolution

Year: 2018

Type: article

Abstract: We present a novel method to perform individual particle (e.g. cells or viruses) coincidence correction through joint channel design and algorithmic methods. Inspired by multiple-user communication theory, we modulate the channel response, with Node-Pore Sensing, to give each particle a binary Barker code signature. When processed with our modified successive interference cancellation method, this signature enables both the separation of coincidence particles and a high sensitivity to small particles. We identify several sources of modeling error and mitigate most effects using a data-driven self-calibration step and robust regression. Additionally, we provide simulation analysis to highlight our robustness, as well as our limitations, to these sources of stochastic system model error. Finally, we conduct experimental validation of our techniques using several encoded devices to screen a heterogeneous sample of several size particles.

Source: IEEE Sensors Journal

DOI: 10.1109/jsen.2018.2805865

Authors: Michael R. Kellman, Francois R. Rivest, Alina Pechacek, Lydia L. Sohn, Michael Lustig

Institutions: University of California, Berkeley, École Polytechnique Fédérale de Lausanne

Language: English

Topic: Microfluidic and Bio-sensing Technologies

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering