Evidence map›Paper›PMID 27394429›Full record

ArticleJournal of biological physics2016

Estimation of the physical properties of neurons and glial cells using dielectrophoresis crossover frequency.

Tianyi Zhou, Yixuan Ming, Susan F Perry, Svetlana Tatic-Lucic

Abstract read
In one paragraph

Article in Journal of biological physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. On-chip dielectrophoretic single-cell manipulation.Microsystems & nanoengineering · 2024
    Review
  2. Article
  3. Blue-Light-Blocking Lenses Ameliorate Structural Alterations in the Rodent Hippocampus.International journal of environmental research and public health · 2022
    Article
  4. Review
  5. Electrodiffusion models of synaptic potentials in dendritic spines.Journal of computational neuroscience · 2019
    Article
  6. Article
  7. Article
  8. 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

4 authors.

Tianyi ZhouDepartment of Electrical and Computer Engineering, Lehigh University, 16A Memorial Dr. East, Bethlehem, PA, 18015, USA. tiz209@lehigh.edu.
Yixuan MingDepartment of Electrical and Computer Engineering, Lehigh University, 16A Memorial Dr. East, Bethlehem, PA, 18015, USA.
Susan F PerryBioengineering Program, Lehigh University, Bethlehem, PA, 18015, USA.
Svetlana Tatic-LucicDepartment of Electrical and Computer Engineering, Lehigh University, 16A Memorial Dr. East, Bethlehem, PA, 18015, USA. svt2@lehigh.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We successfully determine the ranges of dielectric permittivity, cytoplasm conductivity, and specific membrane capacitance of mouse hippocampal neuronal and glial cells using dielectrophoresis (DEP) crossover frequency (CF). This methodology is based on the simulation of CF directly from the governing equation of a dielectric model of mammalian cells, as well as the measurements of DEP CFs of mammalian cells in different suspension media with different conductivities, based on a simple experimental setup. Relationships between the properties of cells and DEP CF, as demonstrated by theoretical analysis, enable the simultaneous estimation of three properties by a straightforward fitting procedure based on experimentally measured CFs. We verify the effectiveness and accuracy of this approach for primary mouse hippocampal neurons and glial cells, whose dielectric properties, previously, have not been accurately determined. The estimated neuronal properties significantly narrow the value ranges available from the literature. Additionally, the estimated glial cell properties are a valuable addition to the scarce information currently available about this type of cell. This methodology is applicable to any type of cultured cell that can be subjected to both positive and negative dielectrophoresis.

Indexed as

Biophysical PhenomenaElectrophoresisAnimalsElectric ImpedanceHippocampusMiceNeurogliaNeuronsCrossover frequencyDielectrophoresis (DEP)Electric propertiesFitting procedureHippocampal neurons and glial cells

Identifiers

PMID27394429
PMCPMC5059596

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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.