Evidence map›Paper›PMID 34821686›Full record

ReviewBiosensors2021

Recent Advances in Electrical Impedance Sensing Technology for Single-Cell Analysis.

Zhao Zhang, Xiaowen Huang, Ke Liu, Tiancong Lan, Zixin Wang, Zhen Zhu

Abstract readReview
In one paragraph

Review in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Review
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  11. Quantitative ICBiosensors · 2025
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  19. Review
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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.

Zhao ZhangKey Laboratory of MEMS of Ministry of Education, Southeast University, Sipailou 2, Nanjing 210018, China.ORCID 0000-0002-9029-4967
Xiaowen HuangThe First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital), Department of Orthopedics, Nanjing 210029, China.
Ke LiuKey Laboratory of MEMS of Ministry of Education, Southeast University, Sipailou 2, Nanjing 210018, China.
Tiancong LanKey Laboratory of MEMS of Ministry of Education, Southeast University, Sipailou 2, Nanjing 210018, China.
Zixin WangSchool of Electronics and Information Technology, Sun Yat-Sen University, Xingang Xi Road 135, Guangzhou 510275, China.
Zhen ZhuKey Laboratory of MEMS of Ministry of Education, Southeast University, Sipailou 2, Nanjing 210018, China.ORCID 0000-0001-8984-6798

Funding

National Natural Science Foundation of China 61774036The National Key Research and Development Program of China 2018YFF01012100
6 · The paper itself

Abstract

Cellular heterogeneity is of significance in cell-based assays for life science, biomedicine and clinical diagnostics. Electrical impedance sensing technology has become a powerful tool, allowing for rapid, non-invasive, and label-free acquisition of electrical parameters of single cells. These electrical parameters, i.e., equivalent cell resistance, membrane capacitance and cytoplasm conductivity, are closely related to cellular biophysical properties and dynamic activities, such as size, morphology, membrane intactness, growth state, and proliferation. This review summarizes basic principles, analytical models and design concepts of single-cell impedance sensing devices, including impedance flow cytometry (IFC) to detect flow-through single cells and electrical impedance spectroscopy (EIS) to monitor immobilized single cells. Then, recent advances of both electrical impedance sensing systems applied in cell recognition, cell counting, viability detection, phenotypic assay, cell screening, and other cell detection are presented. Finally, prospects of impedance sensing technology in single-cell analysis are discussed.

Indexed as

Dielectric SpectroscopyElectric ImpedanceSingle-Cell AnalysisFlow CytometryTechnologyelectrical impedance spectroscopyimpedance flow cytometrymicrofluidicssingle cell analysis

Identifiers

PMID34821686
PMCPMC8615761

What OpenQuestion holds

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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.