Evidence map›Paper›PMID 41769204›Full record

ArticleIEEE microwave magazine2026

MICROWAVE BIOSENSORS for SINGLE-CELL DIELECTRIC CHARACTERIZATION: a REVIEW.

Simiao Sun, Cristiano Palego, Xuanhong Cheng

Abstract read
In one paragraph

Article in IEEE microwave magazine, 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

3 authors.

Simiao SunDepartment of Bioengineering, Lehigh University, Bethlehem, PA 18015 USA.
Cristiano PalegoSchool of Computer Science and Engineering, Bangor University, Bangor LL57 1UT, U.K.
Xuanhong ChengDepartment of Bioengineering, Lehigh University, Bethlehem, PA 18015 USA.

Funding

Transcriptional profiling of proliferative skeletal muscle mononucleated cells coupled with broadband electrical cytometry towards diagnosis of myalgic encephalomyelitis/chronic fatigue syndromeR21NS139044 · NINDS · LEHIGH UNIVERSITY · PI CHENG, XUANHONG · 2024 to 2024
$390k
NINDS NIH HHS R21 NS139044
6 · The paper itself

Abstract

The dielectric property of biological cells exhibits a rich frequency-dependent behavior that is related to the cellular structure, function and molecular makeup. Assessing the dielectric properties of single cells offers a label-free and non-invasive method for disease diagnosis, cell identification, and monitoring of cellular structure and function. This article reviews the fundamentals and applications of microwave biosensors for single-cell analysis, with a focus on how electromagnetic interactions across the α-, β- and γ-dispersion regimes can be leveraged to extract cellular parameters such as membrane capacitance, cytoplasmic conductivity, and intracellular hydration. We begin by discussing the physical principles of dielectric dispersion and the equivalent circuit models in biological cells that underpin microwave-based sensing. We then examine major classes of sensing platforms, including transmission line sensors, capacitive electrode arrays, and resonant structures, highlighting their design strategies, strength and weakness, and applications in single-cell sensing. The role of dielectrophoresis (DEP) as both a manipulation tool and a sensing mechanism is also discussed, particularly in the context of hybrid systems that combine low-frequency trapping with high-frequency dielectric readout. Together, these technologies represent a convergence of microwave engineering, biophysics, and microsystem design to enable high-resolution, real-time interrogation of single cells. After describing the theoretical foundations with recent experimental advances, we provide a perspective on the design of next-generation dielectric biosensors tailored to the demands of single-cell diagnostics, drug screening, and functional phenotyping.

Indexed as

biosensordielectric sensinglabel-free sensingMicrowavesingle-cell analysis

Identifiers

PMID41769204
PMCPMC12945320

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.