ArticleBMC biomedical engineering2025
Development and application of a novel multi-channel in vitro electrical stimulator for cellular research.
Article in BMC biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed.
- SCHEPHERD: A modular, programmable, direct current platform to control cell behavior.Science advances · 2026Article
- Electric Field-Empowered Nanozymes: From Passive Adaptation to Active Precision Therapy.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- A Data Driven Review of In Vitro Electrical and Mechanical Stimulation for Post-Acute Phase Wound Healing.Advanced healthcare materials · 2026Review
- Direct and capacitive electrical stimulation shapes neural progenitor cell survival and orientation on conductive scaffolds.Scientific reports · 2026Article
- In vitro electrical stimulation devices: practical framework for design, fabrication, and operation.Journal of biological engineering · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundExposure to electric fields affects cell membranes impacting their potential and altering cellular excitability, nerve transmission, or muscle contraction. Furthermore, electric stimulation influences cell communication, migration, proliferation, and differentiation, with potential therapeutic applications. In vitro platforms for electrical stimulation are valuable tools for studying these effects and advancing medical research. In this study, we developed and tested a novel multi-channel in vitro electrical stimulator designed for cellular applications. The device aims to facilitate research on the effects of electrical stimulation (ES) on cellular processes, providing a versatile platform that is easy to reproduce and implement in various laboratory settings.
methodsThe stimulator was designed to be simple, cost-effective, and versatile, fitting on standard 12-well plates for parallel experimentation. Extensive testing was conducted to evaluate the performance of the stimulator, including 3D finite element modelling to analyse electric field distribution. Moreover, the stimulator was evaluated in vitro using neuronal and stem cell cultures.
resultsFinite element modelling confirmed that the electric field was sufficiently homogeneous within the stimulation zone, though liquid volume affected field strength. A custom controller was developed to program stimulation protocols, ensuring precise and adjustable current delivery up to 160 V/m. ES promoted neurite outgrowth when applied to SH-SY5Y neural cells or to primary spinal cord-derived cells. In human neuronal progenitor cells (hNPCs), ES enhanced neurite growth as well as differentiation into neurons. In adipose stem cells (ASCs), ES altered the secretome, enriching it in molecules that promoted hNPC differentiation into neurons without enhancing neurite growth.
conclusionsOur results highlight the potential of this multi-channel electrical stimulator as a valuable tool for advancing the understanding of ES mechanisms and its therapeutic applications. The simplicity and adaptability of this novel platform make it a promising addition to the toolkit of researchers studying electrical stimulation in cellular models.
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Registered trials
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.