Light-Emitting Diode Array with Optical Linear Detector Enables High-Throughput Differential Single-Cell Dielectrophoretic Analysis

This paper presents a lens-free imaging approach utilizing an array of light sources, capable of measuring the dielectric properties of many particles simultaneously. This method employs coplanar electrodes to induce velocity changes in flowing particles through dielectrophoretic forces, allowing th...

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Main Authors: Emerich Kovacs, Behnam Arzang, Elham Salimi, Michael Butler, Greg E. Bridges, Douglas J. Thomson
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/24/24/8071
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author Emerich Kovacs
Behnam Arzang
Elham Salimi
Michael Butler
Greg E. Bridges
Douglas J. Thomson
author_facet Emerich Kovacs
Behnam Arzang
Elham Salimi
Michael Butler
Greg E. Bridges
Douglas J. Thomson
author_sort Emerich Kovacs
collection DOAJ
description This paper presents a lens-free imaging approach utilizing an array of light sources, capable of measuring the dielectric properties of many particles simultaneously. This method employs coplanar electrodes to induce velocity changes in flowing particles through dielectrophoretic forces, allowing the inference of individual particle properties from differential velocity changes. Both positive and negative forces are detectable. The light source utilized in this system is composed of LEDs with a wavelength of 470 nm, while detection is performed using a 256-element optical array detector. Measurements with 10 μm polystyrene beads demonstrate this method can resolve changes equivalent to a Clausius–Mossotti factor of 0.18. Simulations in this work, using values from the literature, predict that Clausius–Mossotti factor differences of 0.18 are sufficient to differentiate viable from nonviable cells and cancerous from multidrug-resistant cancerous cells. We demonstrate that for Chinese hamster ovary (CHO) cells, the method can collect a dielectric response spectrum for a large number of cells in several minutes. We demonstrate that for CHO cells, Clausius–Mossotti factor differences of 0.18 can be discriminated. Due to its simple detection apparatus and the utilization of high-throughput, wide, clog-resistant channels, this method holds promise for a wide range of applications.
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spelling doaj-art-49c68f9e8ee04859a3e1a91d94ad377b2025-08-20T02:01:09ZengMDPI AGSensors1424-82202024-12-012424807110.3390/s24248071Light-Emitting Diode Array with Optical Linear Detector Enables High-Throughput Differential Single-Cell Dielectrophoretic AnalysisEmerich Kovacs0Behnam Arzang1Elham Salimi2Michael Butler3Greg E. Bridges4Douglas J. Thomson5Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Microbiology, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaThis paper presents a lens-free imaging approach utilizing an array of light sources, capable of measuring the dielectric properties of many particles simultaneously. This method employs coplanar electrodes to induce velocity changes in flowing particles through dielectrophoretic forces, allowing the inference of individual particle properties from differential velocity changes. Both positive and negative forces are detectable. The light source utilized in this system is composed of LEDs with a wavelength of 470 nm, while detection is performed using a 256-element optical array detector. Measurements with 10 μm polystyrene beads demonstrate this method can resolve changes equivalent to a Clausius–Mossotti factor of 0.18. Simulations in this work, using values from the literature, predict that Clausius–Mossotti factor differences of 0.18 are sufficient to differentiate viable from nonviable cells and cancerous from multidrug-resistant cancerous cells. We demonstrate that for Chinese hamster ovary (CHO) cells, the method can collect a dielectric response spectrum for a large number of cells in several minutes. We demonstrate that for CHO cells, Clausius–Mossotti factor differences of 0.18 can be discriminated. Due to its simple detection apparatus and the utilization of high-throughput, wide, clog-resistant channels, this method holds promise for a wide range of applications.https://www.mdpi.com/1424-8220/24/24/8071dielectrophoresissingle-cell sensordifferential detectionlens-freedielectric spectrumin-flow analysis
spellingShingle Emerich Kovacs
Behnam Arzang
Elham Salimi
Michael Butler
Greg E. Bridges
Douglas J. Thomson
Light-Emitting Diode Array with Optical Linear Detector Enables High-Throughput Differential Single-Cell Dielectrophoretic Analysis
Sensors
dielectrophoresis
single-cell sensor
differential detection
lens-free
dielectric spectrum
in-flow analysis
title Light-Emitting Diode Array with Optical Linear Detector Enables High-Throughput Differential Single-Cell Dielectrophoretic Analysis
title_full Light-Emitting Diode Array with Optical Linear Detector Enables High-Throughput Differential Single-Cell Dielectrophoretic Analysis
title_fullStr Light-Emitting Diode Array with Optical Linear Detector Enables High-Throughput Differential Single-Cell Dielectrophoretic Analysis
title_full_unstemmed Light-Emitting Diode Array with Optical Linear Detector Enables High-Throughput Differential Single-Cell Dielectrophoretic Analysis
title_short Light-Emitting Diode Array with Optical Linear Detector Enables High-Throughput Differential Single-Cell Dielectrophoretic Analysis
title_sort light emitting diode array with optical linear detector enables high throughput differential single cell dielectrophoretic analysis
topic dielectrophoresis
single-cell sensor
differential detection
lens-free
dielectric spectrum
in-flow analysis
url https://www.mdpi.com/1424-8220/24/24/8071
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