Evidence map›Paper›PMID 40479641›Full record

ArticleACS sensors2025

On-Chip Integration of Impedance Cytometry for Inline Optimization of Dielectrophoretic Separations on Multiple Cellular Biophysical Metrics.

Javad Jarmoshti, Abdullah-Bin Siddique, Aditya Rane, Alexandra R Hyler, Sara Adair, Todd W Bauer, Nathan S Swami

Abstract read
In one paragraph

Article in ACS sensors, 2025. 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

7 authors.

Javad JarmoshtiElectrical and Computer Engineering, University of Virginia, Charlottesville, Virginia 22904, United States.
Abdullah-Bin SiddiqueElectrical and Computer Engineering, University of Virginia, Charlottesville, Virginia 22904, United States.
Aditya RaneChemistry, University of Virginia, Charlottesville, Virginia 22904, United States.
Alexandra R HylerCytoRecovery, Inc., Blacksburg, Virginia 24060, United States.
Sara AdairSurgery, School of Medicine, University of Virginia, Charlottesville, Virginia 22904, United States.ORCID 0000-0002-9973-4252
Todd W BauerSurgery, School of Medicine, University of Virginia, Charlottesville, Virginia 22904, United States.
Nathan S SwamiElectrical and Computer Engineering, University of Virginia, Charlottesville, Virginia 22904, United States.ORCID 0000-0002-0492-1160

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
Systems Analysis of Stress-adapted Cancer Organelles (SASCO) CenterU54CA274499 · NCI · UNIVERSITY OF VIRGINIA · PI Kevin A Janes, Matthew J Lazzara · 2022 to 2026
$13.4M
NCI NIH HHS P30 CA044579NCI NIH HHS U54 CA274499
6 · The paper itself

Abstract

Microfluidic cell separation by dielectrophoresis, based on biophysical and electrical physiology metrics, is often optimized using on-chip fluorescence microscopy or off-chip flow cytometry of the separated fractions. However, these techniques require fluorescent reporters or stained samples that operate as end point assays, preventing the separated cell fractions from being utilized for longitudinal or transplantation studies. Single-cell impedance cytometry has a small footprint for facile integration toward label-free quantification of the separated fractions based on cell size, viability, and biophysical metrics. However, this is limited by low impedance signal-to-noise ratios in the low-conductivity media optimal for dielectrophoretic separation and by irreversible dielectrophoretic cell capture on impedance acquisition electrodes, while its single-cell resolution ability is limited by the high channel depths used to enhance sample throughput. Herein, using viscoelastic flows for elasto-inertial cell focusing over the channel depth, the throughput of dielectrophoretic separation is maintained, and bubble formation is avoided, while the downstream voltage for impedance cytometry can be maximized without irreversible cell capture to enhance impedance sensitivity in the dielectrophoretic separation media. This multichannel cytometry capability is integrated for automated optimization of the dielectrophoretic enrichment of live circulating tumor cells released into the suspension of pancreatic cancer cell cultures, using impedance metrics to monitor the separated fractions for feedback toward the selection of live cells within specific size ranges and with minimized transmembrane voltage-induced cell damage.

Indexed as

Cell SeparationElectrophoresisFlow CytometryLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesCell Line, TumorElectric ImpedanceHumansSingle-Cell Analysisautomationcirculating tumor cellsdielectrophoresisimpedance Cytometrymicrofluidicssingle-cell analysis

Identifiers

PMID40479641
PMCPMC12210248

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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.