Evidence map›Paper›PMID 32466300›Full record

ArticleMicromachines2020

Hemispherical Microelectrode Array for Ex Vivo Retinal Neural Recording.

Yoonhee Ha, Hyun-Ji Yoo, Soowon Shin, Sang Beom Jun

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Yoonhee HaDepartment of Electronic and Electrical Engineering, Ewha Womans University, Seoul-03760, Korea.
Hyun-Ji YooDepartment of Electronic and Electrical Engineering, Ewha Womans University, Seoul-03760, Korea.
Soowon ShinDepartment of Bioengineering, TODOC Co., Ltd., Seoul-08394, Korea.
Sang Beom JunDepartment of Electronic and Electrical Engineering, Ewha Womans University, Seoul-03760, Korea.
Ewha Womans University · KR

Funding

National Research Foundation of Korea 2017M3C1B2085310National Research Foundation of Korea 2019R1A2C1088909National Research Foundation of Korea CISS-2012M3A6A054204
6 · The paper itself

Abstract

To investigate the neuronal visual encoding process in the retina, researchers have performed in vitro and ex vivo electrophysiological experiments using animal retinal tissues. The microelectrode array (MEA) has become a key component in retinal experiments because it enables simultaneous neural recording from a population of retinal neurons. However, in most retinal experiments, it is inevitable that the retinal tissue is flattened on the planar MEA, becoming deformed from the original hemispherical shape. During the tissue deforming process, the retina is subjected to mechanical stress, which can induce abnormal physiological conditions. To overcome this problem, in this study, we propose a hemispherical MEA with a curvature that allows retinal tissues to adhere closely to electrodes without tissue deformation. The electrode array is fabricated by stretching a thin, flexible polydimethylsiloxane (PDMS) electrode layer onto a hemispherical substrate. To form micro patterns of electrodes, laser processing is employed instead of conventional thin-film microfabrication processes. The feasibility for neural recording from retinal tissues using this array is shown by conducting ex vivo retinal experiments. We anticipate that the proposed techniques for hemispherical MEAs can be utilized not only for ex vivo retinal studies but also for various flexible electronics.

Indexed as

hemisphericalmicroelectrode array (MEA)neural recordingretina

Identifiers

PMID32466300
PMCPMC7281771
OpenAlexW3027206393

What OpenQuestion holds

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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.