Evidence map›Paper›PMID 40453180›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Organic charge-modulated transistor for electrophysiological measurements of human-derived neurospheroids.

Fabio Terranova, Fabrizio Antonio Viola, Donatella Di Lisa, Paolo Massobrio, Sergio Martinoia, Annalisa Bonfiglio, Andrea Spanu

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Fabio Terranova *Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genova, Genova, Italy.
Fabrizio Antonio Viola *Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy.
Donatella Di LisaDepartment of Informatics, Bioengineering, Robotics and System Engineering, University of Genova, Genova, Italy.
Paolo MassobrioDepartment of Informatics, Bioengineering, Robotics and System Engineering, University of Genova, Genova, Italy.
Sergio MartinoiaDepartment of Informatics, Bioengineering, Robotics and System Engineering, University of Genova, Genova, Italy.
Annalisa BonfiglioUniversity School for Advanced Studies (IUSS), Pavia, Italy.
Andrea SpanuUniversity School for Advanced Studies (IUSS), Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we present an alternative system to standard microelectrode arrays for monitoring the electrical activity of 3D cellular aggregates such as neurospheroids, which are known to better replicate the complex architecture and cellular interactions of native neural tissue than 2D cultures. The system is based on an ultra-sensitive organic sensor called Organic Charge-Modulated Field Effect Transistor (OCMFET) fabricated through low-resolution, low-cost fabrication techniques. This peculiar organic charge sensor offers interesting features like the absence of a reference electrode in the culture medium, a direct charge amplification, mechanical flexibility, and optical transparency. As a preliminary validation, the OCMFET system has been coupled to rtTA/Ngn2-positive human induced pluripotent stem cell (hiPSC)-derived neurospheroids and was able to reliably detect their spontaneous electrical activity exhibiting a high SNR. This preliminary validation lays the foundation for the development of simple, low-cost, and ultra-flexible organic transistor-based systems for high-performing, reliable interfacing with 3D neuronal structures.

Indexed as

3D cell culturesbioelectronicshiPSCneural recordingneurospheroidsOCMFETorganic transistors

Identifiers

PMID40453180
PMCPMC12122748

What OpenQuestion holds

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Registered trials

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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.