Evidence map›Paper›PMID 28978446›Full record

ArticleBiophysical journal2017

Determination of Cell Membrane Capacitance and Conductance via Optically Induced Electrokinetics.

Wenfeng Liang, Yuliang Zhao, Lianqing Liu, Yuechao Wang, Wen Jung Li, Gwo-Bin Lee

Abstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Machine Learning-Based Detection ofPathogens (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. HectoSTAR μLED Optoelectrodes for Large-Scale, High-Precision In Vivo Opto-Electrophysiology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  7. Article
  8. Isolation method ofBiomedical optics express · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. 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

6 authors.

Wenfeng LiangState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China; School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, China.
Yuliang ZhaoDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong; School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China.
Lianqing LiuState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China. Electronic address: lqliu@sia.cn.
Yuechao WangState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Wen Jung LiState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China; Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong. Electronic address: wenjli@cityu.edu.hk.
Gwo-Bin LeeDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell membrane capacitance and conductance are key pieces of intrinsic information correlated with the cellular dielectric parameters and morphology of the plasma membrane; these parameters have been used as electrophysiological biomarkers to characterize cellular phenotype and state, and they have many associated clinical applications. Here, we present our work on the non-invasive determination of cell membrane capacitance and conductance by an optically activated microfluidics chip. The model for determining the cell membrane capacitance and conductance was established by a single layer of the shell-core polarization model. Three-dimensional finite-element analyses of the positive and negative optically induced dielectrophoresis forces generated by the projected light arrays of spots were performed, thus providing a theoretical validation of the feasibility of this approach. Then, the crossover frequency spectra for four typical types of cells (Raji cells, MCF-7 cells, HEK293 cells, and K562 cells) were experimentally investigated by using a micro-vision based motion-tracking technique. The different responses of these cells to the positive and negative ODEP forces were studied under four different liquid conductivities by automatic observation and tracking of the cellular trajectory and texture during the cells' translation. The cell membrane capacitance and conductance were determined from the curve-fitted spectra, which were 11.1 ± 0.9 mF/m

Indexed as

Electric CapacitanceElectric ConductivityMicrofluidic Analytical TechniquesOptical ImagingCell MembraneComputer SimulationElectrophoresisFinite Element AnalysisHEK293 CellsHumansK562 CellsKineticsMCF-7 CellsModels, Biological

Identifiers

PMID28978446
PMCPMC5627184

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.