ArticleFrontiers in cellular neuroscience2019
Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode Arrays.
Article in Frontiers in cellular neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 29 citations in OpenAlex.
- Spatial richness of neural magnetic fields.PLoS computational biology · 2026Article
- Advances in large-scale electrophysiology with high-density microelectrode arrays.Lab on a chip · 2025Review
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- A high-density multi-electrode platform examining the effects of radiation on in vitro cortical networks.Scientific reports · 2024Article
- Article
- Generation of functional posterior spinal motor neurons from hPSCs-derived human spinal cord neural progenitor cells.Cell regeneration (London, England) · 2023Article
- An automated method for precise axon reconstruction from recordings of high-density micro-electrode arrays.Journal of neural engineering · 2022Article
- Recording Saltatory Conduction Along Sensory Axons Using a High-Density Microelectrode Array.Frontiers in neuroscience · 2022Article
- Highly Configurable 100 Channel Recording and Stimulating Integrated Circuit for Biomedical Experiments.Sensors (Basel, Switzerland) · 2021Article
- Super-Selective Reconstruction of Causal and Direct Connectivity With Application toFrontiers in neuroscience · 2021Article
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Authors and funding
6 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the role of axons in neuronal information processing is a fundamental task in neuroscience. Over the last years, sophisticated patch-clamp investigations have provided unexpected and exciting data on axonal phenomena and functioning, but there is still a need for methods to investigate full axonal arbors at sufficient throughput. Here, we present a new method for the simultaneous mapping of the axonal arbors of a large number of individual neurons, which relies on their extracellular signals that have been recorded with high-density microelectrode arrays (HD-MEAs). The segmentation of axons was performed based on the local correlation of extracellular signals. Comparison of the results with both, ground truth and receiver operator characteristics, shows that the new segmentation method outperforms previously used methods. Using a standard HD-MEA, we mapped the axonal arbors of 68 neurons in <6 h. The fully automated method can be extended to new generations of HD-MEAs with larger data output and is estimated to provide data of axonal arbors of thousands of neurons within recording sessions of a few hours.
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