Evidence map›Paper›PMID 39771806›Full record

ArticleSensors (Basel, Switzerland)2024

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

Emerich Kovacs, Behnam Arzang, Elham Salimi, Michael Butler, Greg E Bridges, Douglas J Thomson

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Emerich KovacsDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.ORCID 0009-0003-5957-4471
Behnam ArzangDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.ORCID 0009-0002-2301-247X
Elham SalimiDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.
Michael ButlerDepartment of Microbiology, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.
Greg E BridgesDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.ORCID 0000-0001-8147-9882
Douglas J ThomsonDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.ORCID 0000-0002-3059-3455

Funding

Natural Sciences and Engineering Research Council RGPIN-05340-2020,RGPIN/2020-05338,RGPIN-05859
6 · The paper itself

Abstract

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.

Indexed as

CricetulusSingle-Cell AnalysisAnimalsCHO CellsElectrodesElectrophoresisHumansLightdielectric spectrumdielectrophoresisdifferential detectionin-flow analysislens-freesingle-cell sensor

Identifiers

PMID39771806
PMCPMC11679556

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.