Evidence map›Paper›PMID 31293372›Full record

ArticleFrontiers in neuroscience2019

High-Density Electrical Recording and Impedance Imaging With a Multi-Modal CMOS Multi-Electrode Array Chip.

Beatrice Miccoli, Carolina Mora Lopez, Erkuden Goikoetxea, Jan Putzeys, Makrina Sekeri, Olga Krylychkina, Shuo-Wen Chang, Andrea Firrincieli, Alexandru Andrei, Veerle Reumers and 1 more

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Review
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  5. Decoding Pain: Next-Generation In Vitro Systems for Mechanistic Insights and Drug Discovery.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Review
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  9. Review
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  14. Organoid intelligence for developmental neurotoxicity testing.Frontiers in cellular neuroscience · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Article
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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

11 authors.

Beatrice MiccoliIMEC, Heverlee, Belgium.
Carolina Mora LopezIMEC, Heverlee, Belgium.
Erkuden GoikoetxeaIMEC, Heverlee, Belgium.
Jan PutzeysIMEC, Heverlee, Belgium.
Makrina SekeriIMEC, Heverlee, Belgium.
Olga KrylychkinaIMEC, Heverlee, Belgium.
Shuo-Wen ChangIMEC, Heverlee, Belgium.
Andrea FirrincieliIMEC, Heverlee, Belgium.
Alexandru AndreiIMEC, Heverlee, Belgium.
Veerle ReumersIMEC, Heverlee, Belgium.
Dries BraekenIMEC, Heverlee, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-electrode arrays, both active or passive, emerged as ideal technologies to unveil intricated electrophysiological dynamics of cells and tissues. Active MEAs, designed using complementary metal oxide semiconductor technology (CMOS), stand over passive devices thanks to the possibility of achieving single-cell resolution, the reduced electrode size, the reduced crosstalk and the higher functionality and portability. Nevertheless, most of the reported CMOS MEA systems mainly rely on a single operational modality, which strongly hampers the applicability range of a single device. This can be a limiting factor considering that most biological and electrophysiological dynamics are often based on the synergy of multiple and complex mechanisms acting from different angles on the same phenomena. Here, we designed a CMOS MEA chip with 16,384 titanium nitride electrodes, 6 independent operational modalities and 1,024 parallel recording channels for neuro-electrophysiological studies. Sixteen independent active areas are patterned on the chip surface forming a 4 × 4 matrix, each one including 1,024 electrodes. Electrodes of four different sizes are present on the chip surface, ranging from 2.5 × 3.5 μm

Indexed as

CMOShigh densityhippocampal neuronsimpedance imagingmultielectrode arraymulti-modal

Identifiers

PMID31293372
PMCPMC6603149

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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.