Evidence map›Paper›PMID 42494281›Full record

ArticleElectrophoresis2026

Position-Independent Particle Sizing in High-Precision Impedance Cytometry via Full-Waveform Feature Calibration.

Junwei Li, Wenjie Yang, Tanbin Su, Shengran Pan, Hepeng Zhou, Jie Jayne Wu, Shanshan Li

Abstract read
In one paragraph

Article in Electrophoresis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Junwei LiKey Laboratory of Molecular Biophysics of Hebei Province, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China.
Wenjie YangKey Laboratory of Molecular Biophysics of Hebei Province, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China.
Tanbin SuHebei Key Laboratory of Smart Sensing and Human-Robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin, China.
Shengran PanKey Laboratory of Molecular Biophysics of Hebei Province, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China.
Hepeng ZhouHebei Key Laboratory of Smart Sensing and Human-Robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin, China.
Jie Jayne WuDepartment of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, Tennessee, USA.
Shanshan LiHebei Key Laboratory of Smart Sensing and Human-Robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin, China.ORCID https://orcid.org/0000-0001-8293-9676

Funding

National Natural Science Foundation of China 52475590Natural Science Foundation of Hebei Province F2023202049Tianjin Municipal Science and Technology Program 23YFZCSN00370
6 · The paper itself

Abstract

Accurate particle characterization is critical for biomedical research, yet electrical impedance flow cytometry suffers from measurement inaccuracies due to the positional heterogeneity of particles within microfluidic channels. In large-scale microchannels, off-axis particle trajectories lead to significant waveform distortion and the attenuation of key characteristic features, undermining measurement precision. To address this issue, this study presents a novel signal-processing framework centered on a full-waveform calibration factor (CF). The CF is theoretically grounded in the exponential decay of the electric field along the vertical axis of coplanar electrodes and is derived from comprehensive waveform features rather than localized extrema, ensuring robustness against the distortions prevalent in high-flow conditions. Coupled with a dedicated real-time algorithm, it corrects for vertical position-induced errors in particle sizing. The effectiveness of this method was validated through a combination of finite element simulation and experimental impedance measurement. The system's performance is demonstrated by accurately discriminating polystyrene microsphere populations (10

Indexed as

Flow CytometryMicrofluidic Analytical TechniquesAlgorithmsCalibrationElectric ImpedanceFinite Element AnalysisHEK293 CellsHumansMicrospheresParticle SizePolystyrenesReproducibility of ResultsPolystyrenes

Identifiers

PMID42494281
PMCPMC13572897

What OpenQuestion holds

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Registered trials

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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.