Digital signal processing methods for impedance microfluidic cytometry

Sun, Tao; Berkel, C. van; Green, Nicolas G.; Morgan, Hywel

doi:10.1007/s10404-008-0315-3

Cited by 44 publications

(46 citation statements)

References 26 publications

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“…In contrast to measurements of single cells at discrete frequencies, Morgan et al have developed a method for broad band multifrequency analysis of cells using pseudorandom signal generated by a maximum length sequence (MLS) system (76)(77)(78)(79)(80). This method permits the characterization of cells within 1 ms at 512 discrete frequencies ranging from 976 Hz to 500 kHz.…”

Section: Single Cell Dielectric Spectroscopy: Multifrequency Analysismentioning

confidence: 99%

Microfluidic impedance‐based flow cytometry

Berardino²,

et al. 2010

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Microfabricated flow cytometers can detect, count, and analyze cells or particles using microfluidics and electronics to give impedance-based characterization. Such systems are being developed to provide simple, low-cost, label-free, and portable solutions for cell analysis. Recent work using microfabricated systems has demonstrated the capability to analyze micro-organisms, erythrocytes, leukocytes, and animal and human cell lines. Multifrequency impedance measurements can give multiparametric, high-content data that can be used to distinguish cell types. New combinations of microfluidic sample handling design and microscale flow phenomena have been used to focus and position cells within the channel for improved sensitivity. Robust designs will enable focusing at high flowrates while reducing requirements for control over multiple sample and sheath flows. Although microfluidic impedance-based flow cytometers have not yet or may never reach the extremely high throughput of conventional flow cytometers, the advantages of portability, simplicity, and ability to analyze single cells in small populations are, nevertheless, where chip-based cytometry can make a large impact. ' 2010International Society for Advancement of Cytometry Key terms microfluidics; impedance characterization; label free; single cell analysis; hydrodynamic focusing; sorting MICROFLUIDIC flow cytometers can bring many advantages to the field of flow cytometry (FCM). Compared to typical flow cytometry channel sizes, the miniaturized dimensions permit microfluidic systems to analyze single cells, to identify cellular variability in gene expression, or drug response within a cell population. Chipbased cytometers can have lower size and costs than conventional benchtop instruments, and may be portable. Today, the developmental aim for microfluidic systems is to reach the same sensitivity and capability for multiparametric analyses as delivered by conventional flow cytometers. Many efforts have been made to improve existing devices and to create new miniaturized high-end instruments. Microfluidic chips can incorporate on-chip cell preparation, cell culture, lysis, and modules for optical, electrophoretic, or genomic analysis (1). They are also suitable for analysis of cells in suspension as well as adherent cells.Miniaturized cytometry devices will have high impact in the development of point-of-care devices in developing countries. Accurate CD4 1 T-cell counts are used to monitor human immunodeficiency virus (HIV)-infected patients, and various thresholds of the number of CD4 1 T lymphocytes per ll of whole blood are used to start antiretroviral therapy (2-5). A simple, single-purpose CD4 cell counting device, which does not require standard laboratory equipment or trained laboratory personnel, could help some of the 33 million HIV-infected people worldwide monitor the stage of infection (6)(7)(8). In this application, increased analysis throughput is a secondary concern compared to increased sensitivity and specificity. Portable, miniatu...

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Section: Single Cell Dielectric Spectroscopy: Multifrequency Analysismentioning

confidence: 99%

Microfluidic impedance‐based flow cytometry

Berardino²,

et al. 2010

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“…Dataset 1 reproduces data reported in [2], whereas Dataset 2 mimics data measured in the framework of the DIMID FP7 Project [3].…”

Section: A Data Descriptionmentioning

confidence: 99%

“…Past position C, a specular and reversed profile is recorded. The overall profile is well described by means of a bipolar Gaussian function [2]. Different electrode patterns can give rise to bipolar profiles deviating from the Gaussian shape.…”

mentioning

confidence: 97%

“…In this regard, effort has focused on fabricating novel designs of micro-device and developing new detection techniques (e.g. [17], [18], [19], [20]), but there has been little attempt at developing ways of extracting meaningful data from measured signals using signal processing [2].…”

mentioning

confidence: 99%

“…A wavelet-based event detection has been adopted in [12]. In [2] an approach has been described that uses correlation of the signal with a bipolar Gaussian template depending on three parameters (transit-time, peak width and peak amplitude), whose optimal values were fitted with reference to beads of two different sizes. In general, the fitting template may vary due to chip electrode configuration, which influences the shape of the bipolar profile (e.g., Gaussian vs Mexican-hat profile), or flow rate and cell off-centering, which determine the transit-time.…”

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confidence: 99%

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A Simple and Robust Event-Detection Algorithm for Single-Cell Impedance Cytometry

Caselli

Bisegna

2016

IEEE Trans. Biomed. Eng.

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Abstract-Microfluidic impedance cytometry is emerging as a powerful label-free technique for the characterization of single biological cells. In order to increase the sensitivity and the specificity of the technique, suited digital signal processing methods are required to extract meaningful information from measured impedance data.In this work, a simple and robust event-detection algorithm for impedance cytometry is presented. Since a differential measuring scheme is generally adopted, the signal recorded when a cell passes through the sensing region of the device exhibits a typical odd-symmetric pattern. This feature is exploited twice by the proposed algorithm: first, a preliminary segmentation, based on the correlation of the data stream with the simplest oddsymmetric template, is performed; then, the quality of detected events is established by evaluating their E2O index, that is, a measure of the ratio between their even and odd parts.A thorough performance analysis is reported, showing the robustness of the algorithm with respect to parameter choice and noise level. In terms of sensitivity and positive predictive value, an overall performance of 94.9% and 98.5%, respectively, was achieved on two datasets relevant to microfluidic chips with very different characteristics, considering three noise levels.The present algorithm can foster the role of impedance cytometry in single-cell analysis, which is the new frontier in "Omics".

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