Evidence map›Paper›PMID 32517325›Full record

ArticleSensors (Basel, Switzerland)2020

Use of Discrete Wavelet Transform to Assess Impedance Fluctuations Obtained from Cellular Micromotion.

Tse-Hua Tung, Si-Han Wang, Chun-Chung Huang, Tai-Yuan Su, Chun-Min Lo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Tse-Hua TungDepartment of Biomedical Engineering, National Yang-Ming University, Taipei 11221, Taiwan.
Si-Han WangDepartment of Biomedical Engineering, National Yang-Ming University, Taipei 11221, Taiwan.ORCID 0000-0002-1709-5339
Chun-Chung HuangDepartment of Biomedical Engineering, National Yang-Ming University, Taipei 11221, Taiwan.
Tai-Yuan SuDepartment of Electrical Engineering, Yuan-Ze University, Chung-Li 32003, Taiwan.
Chun-Min LoDepartment of Biomedical Engineering, National Yang-Ming University, Taipei 11221, Taiwan.ORCID 0000-0003-4382-4512
National Yang Ming Chiao Tung University · TWYuan Ze University · TW

Funding

Ministry of Science and Technology, Taiwan MOST-102-2628-B-010-010-MY3
6 · The paper itself

Abstract

Electric cell-substrate impedance sensing (ECIS) is an attractive method for monitoring cell behaviors in tissue culture in real time. The time series impedance fluctuations of the cell-covered electrodes measured by ECIS are the phenomena accompanying cellular micromotion as cells continually rearrange their cell-cell and cell-substrate adhesion sites. Accurate assessment of these fluctuations to extract useful information from raw data is important for both scientific and practical purposes. In this study, we apply discrete wavelet transform (DWT) to analyze the concentration-dependent effect of cytochalasin B on human umbilical vein endothelial cells (HUVECs). The sampling rate of the impedance time series is 1 Hz and each data set consists of 2048 points. Our results demonstrate that, in the Daubechies (db) wavelet family, db1 is the optimal mother wavelet function for DWT-based analysis to assess the effect of cytochalasin B on HUVEC micromotion. By calculating the energy, standard deviation, variance, and signal magnitude area of DWT detail coefficients at level 1, we are able to significantly distinguish cytotoxic concentrations of cytochalasin B as low as 0.1 μM, and in a concentration-dependent manner. Furthermore, DWT-based analysis indicates the possibility to decrease the sampling rate of the micromotion measurement from 1 Hz to 1/16 Hz without decreasing the discerning power. The statistical measures of DWT detail coefficients are effective methods for determining both the sampling rate and the number of individual samples for ECIS-based micromotion assays.

Indexed as

Electric ImpedanceWavelet AnalysisCell AdhesionElectrodesHumansHuman Umbilical Vein Endothelial Cellscytochalasin Bdiscrete wavelet transformECISmicromotionsignal magnitude areavariance

Identifiers

PMID32517325
PMCPMC7309086
OpenAlexW3033995180

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.