Evidence map›Paper›PMID 33851029›Full record

ArticleACS sensors2016

Electrical Impedance Spectroscopy for Microtissue Spheroid Analysis in Hanging-Drop Networks.

Yannick R F Schmid, Sebastian C Bürgel, Patrick M Misun, Andreas Hierlemann, Olivier Frey

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 60 citations in OpenAlex.

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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 1 institution in 1 country.

Yannick R F SchmidDepartment of Biosystems Science and Engineering, Bio Engineering Laboratory, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
Sebastian C BürgelDepartment of Biosystems Science and Engineering, Bio Engineering Laboratory, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
Patrick M MisunDepartment of Biosystems Science and Engineering, Bio Engineering Laboratory, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
Andreas HierlemannDepartment of Biosystems Science and Engineering, Bio Engineering Laboratory, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
Olivier FreyDepartment of Biosystems Science and Engineering, Bio Engineering Laboratory, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
ETH Zurich · CH

Funding

European Research Council 267351
6 · The paper itself

Abstract

Electrical impedance spectroscopy (EIS) as a label free and noninvasive analysis method receives growing attention for monitoring three-dimensional tissue constructs. In this Article, we present the integration of an EIS readout function into the hanging-drop network platform, which has been designed for culturing microtissue spheroids in perfused multitissue configurations. Two pairs of microelectrodes have been implemented directly in the support of the hanging drops by using a small glass inlay inserted in the microfluidic structure. The pair of bigger electrodes is sensitive to the drop size and allows for drop size control over time. The pair of smaller electrodes is capable of monitoring, on the one hand, the size of microtissue spheroids to follow, for example, the growth of cancer microtissues, and, on the other hand, the beating of cardiac microtissues in situ. The presented results demonstrate the feasibility of an EIS readout within the framework of multifunctional hanging-drop networks.

Indexed as

body on a chipcardiac spheroidimpedance sensormicroelectrodetumor growth

Identifiers

PMID33851029
PMCPMC7610579
OpenAlexW2486850684

What OpenQuestion holds

Textmetadata
LicenceTDM
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.