Evidence map›Paper›PMID 37993513›Full record

ArticleScientific reports2023

Distinguishing cells using electro-acoustic spinning.

Tayebeh Saghaei, Andreas Weber, Erik Reimhult, Peter D J van Oostrum

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
–field-weighted citation impact, top 84% 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, 0 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

4 authors at 2 institutions in 2 countries.

Tayebeh SaghaeiDepartment of Bionanosciences, Institute of Biologically Inspired Materials, University of Natural Resources and Life Sciences, Muthgasse 11-II, 1190, Vienna, Austria. tsaghaei@gmail.com.
Andreas WeberDepartment of Bionanosciences, Institute of Biophysics, University of Natural Resources and Life Sciences, Muthgasse 11-II, 1190, Vienna, Austria.
Erik ReimhultDepartment of Bionanosciences, Institute of Biologically Inspired Materials, University of Natural Resources and Life Sciences, Muthgasse 11-II, 1190, Vienna, Austria.
Peter D J van OostrumDepartment of Bionanosciences, Institute of Biologically Inspired Materials, University of Natural Resources and Life Sciences, Muthgasse 11-II, 1190, Vienna, Austria.
BOKU University · ATUniversity College London · GB

Funding

Austrian Science Fund P27544Austrian Science Fund FWF P 27544the Austrian Research Promotion Agency (FFG) FO999895433
6 · The paper itself

Abstract

Many diseases, including cancer and covid, result in altered mechanical and electric properties of the affected cells. These changes were proposed as disease markers. Current methods to characterize such changes either provide very limited information on many cells or have extremely low throughput. We introduce electro-acoustic spinning (EAS). Cells were found to spin in combined non-rotating AC electric and acoustic fields. The rotation velocity in EAS depends critically on a cell's electrical and mechanical properties. In contrast to existing methods, the rotation is uniform in the field of view and hundreds of cells can be characterized simultaneously. We demonstrate that EAS can distinguish cells with only minor differences in electric and mechanical properties, including differences in age or the number of passages.

Indexed as

Cochlear ImplantationCochlear ImplantsAcousticsAcoustic StimulationElectricityElectric StimulationRotation

Identifiers

PMID37993513
PMCPMC10665424
OpenAlexW4388903937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.