Evidence map›Paper›PMID 37041747›Full record

ArticleBiophysical journal2023

Label-free and noninvasive analysis of microorganism surface epistructures at the single-cell level.

Yu-Sheng Lin, Chen-Li Sun, Sung Tsang, Sakina Bensalem, Bruno Le Pioufle, Hsiang-Yu Wang

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 2 countries.

Yu-Sheng LinDepartment of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan; Université Paris Saclay, ENS Paris Saclay, CNRS Institut d'Alembert, SATIE, Gif sur Yvette, France.
Chen-Li SunDepartment of Mechanical Engineering, National Taiwan University, Taipei, Taiwan.
Sung TsangDepartment of Mechanical Engineering, National Taiwan University, Taipei, Taiwan.
Sakina BensalemUniversité Paris Saclay, ENS Paris Saclay, CNRS Institut d'Alembert, LUMIN, Gif sur Yvette, France.
Bruno Le PioufleUniversité Paris Saclay, ENS Paris Saclay, CNRS Institut d'Alembert, LUMIN, Gif sur Yvette, France.
Hsiang-Yu WangDepartment of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan. Electronic address: hywang@ess.nthu.edu.tw.
Centre National de la Recherche Scientifique · FRNational Taiwan University · TWNational Tsing Hua University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell surface properties of microorganisms provide abundant information for their physiological status and fate choice. However, current methods for analyzing cell surface properties require labeling or fixation, which can alter the cell activity. This study establishes a label-free, rapid, noninvasive, and quantitative analysis of cell surface properties, including the presence and the dimension of epistructure, down to the single-cell level and at the nanometer scale. Simultaneously, electrorotation provides dielectric properties of intracellular contents. With the combined information, the growth phase of microalgae cells can be identified. The measurement is based on electrorotation of single cells, and an electrorotation model accounting for the surface properties is developed to properly interpret experimental data. The epistructure length measured by electrorotation is validated by scanning electron microscopy. The measurement accuracy is satisfactory in particular in the case of microscale epistructures in the exponential phase and nanoscale epistructures in the stationary phase. However, the measurement accuracy for nanoscale epistructures on cells in the exponential phase is offset by the effect of a thick double layer. Lastly, a diversity in epistructure length distinguishes exponential phase from stationary phase.

Indexed as

Cell Membrane

Identifiers

PMID37041747
PMCPMC10209039
OpenAlexW4364381093

What OpenQuestion holds

Textmetadata
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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.