Evidence map›Paper›PMID 40838718›Full record

ArticleACS sensors2025

Inkjet-Printed 3D Sensor Arrays with FIB-Induced Electrode Refinement for Low-Noise Amperometric Recordings in hiPSC-Derived Brain Organoids.

Inola Kopic, Hu Peng, Sebastian Schmidt, Oleksandr Berezin, Senyao Wang, Gil G Westmeyer, Bernhard Wolfrum

Abstract read
In one paragraph

Article in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Inola KopicNeuroelectronics, Munich Institute of Biomedical Engineering, School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748 Garching, Germany.ORCID 0000-0002-4147-462X
Hu PengNeuroelectronics, Munich Institute of Biomedical Engineering, School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748 Garching, Germany.
Sebastian SchmidtNeurobiological Engineering, Munich Institute of Biomedical Engineering, TUM School of Natural Sciences & TUM School of Medicine and Health, Boltzmannstraße 11, Garching 85748, Germany.
Oleksandr BerezinNeurobiological Engineering, Munich Institute of Biomedical Engineering, TUM School of Natural Sciences & TUM School of Medicine and Health, Boltzmannstraße 11, Garching 85748, Germany.
Senyao WangNeuroelectronics, Munich Institute of Biomedical Engineering, School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748 Garching, Germany.ORCID 0000-0002-8139-558X
Gil G WestmeyerNeurobiological Engineering, Munich Institute of Biomedical Engineering, TUM School of Natural Sciences & TUM School of Medicine and Health, Boltzmannstraße 11, Garching 85748, Germany.ORCID 0000-0001-7224-8919
Bernhard WolfrumNeuroelectronics, Munich Institute of Biomedical Engineering, School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748 Garching, Germany.ORCID 0000-0003-4438-3755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the functional connectivity and behavior of 3D cell cultures and organoids requires monitoring electrical activity across multiple planes. However, traditional planar microelectrode arrays (MEAs) are limited to surface recordings and struggle to capture signals from deeper layers. Additionally, current fabrication methods face challenges such as prolonged production times and limited design flexibility, which hinder the development of high-precision 3D electrode arrays and affect the quality of cell-electrode coupling. To overcome these obstacles, we introduce a new approach that integrates inkjet printing with focused ion beam (FIB) milling and electrodeposition, resulting in highly customizable 3D MEAs. The FIB milling enables the creation of precise electrode openings at predetermined locations, which is essential for selective recordings within the tissue. The MEAs, fabricated on glass substrates, incorporate high-aspect-ratio (up to 44:1) electrode structures with heights up to 1 mm, a pitch of 500 μm, and electrode openings of 3 and 6 μm, providing the necessary resolution for targeted measurements. Impedance and noise characteristics (down to a root-mean-square of (RMS) noise of 0.2 pA) for amperometric measurements were assessed in dependence on the electrode size. We demonstrate the effectiveness of these 3D MEAs by recording electrophysiological activity from hiPSC-derived cortical organoids (age: 24 month) both in situ and after 10 days of cultivation of the organoid directly on the MEA. This approach facilitates in vitro studies of neural activity in organoids and holds promise for high-throughput, selective amperometric analyses in normal and pathologically altered conditions.

Indexed as

BrainInduced Pluripotent Stem CellsOrganoidsPrinting, Three-DimensionalHumansMicroelectrodesextracellular recordingmicroelectrode arraysmicrofabricationneuroelectronicsorganoids

Identifiers

PMID40838718
PMCPMC12481552

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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.