Evidence map›Paper›PMID 25938973›Full record

ReviewInternational journal of molecular sciences2015

Microfluidic impedance flow cytometry enabling high-throughput single-cell electrical property characterization.

Jian Chen, Chengcheng Xue, Yang Zhao, Deyong Chen, Min-Hsien Wu, Junbo Wang

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  9. Methods to Measure Water Permeability.Advances in experimental medicine and biology · 2023
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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.

Jian ChenState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. chenjian@mail.ie.ac.cn.
Chengcheng XueState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. xuechengcheng13@mails.ucas.ac.cn.
Yang ZhaoState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. zhaoyang110@mails.ucas.ac.cn.
Deyong ChenState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. dychen@mail.ie.ac.cn.
Min-Hsien WuGraduate Institute of Biochemical and Biomedical Engineering, Chang Gung University, Taoyuan 333, Taiwan. mhwu@mail.cgu.edu.tw.
Junbo WangState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. jbwang@mail.ie.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reviews recent developments in microfluidic impedance flow cytometry for high-throughput electrical property characterization of single cells. Four major perspectives of microfluidic impedance flow cytometry for single-cell characterization are included in this review: (1) early developments of microfluidic impedance flow cytometry for single-cell electrical property characterization; (2) microfluidic impedance flow cytometry with enhanced sensitivity; (3) microfluidic impedance and optical flow cytometry for single-cell analysis and (4) integrated point of care system based on microfluidic impedance flow cytometry. We examine the advantages and limitations of each technique and discuss future research opportunities from the perspectives of both technical innovation and clinical applications.

Indexed as

AnimalsElectric ImpedanceFlow CytometryHigh-Throughput Screening AssaysHumansMicrofluidicsPoint-of-Care SystemsSingle-Cell Analysis

Identifiers

PMID25938973
PMCPMC4463619

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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.