Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Detection of bronchopulmonary dysplasia in infants and prediction of school-age lung function from tidal breathing data using recurrent neural networks.

Physiological measurement·2026
Same author

Different effects of prenatal air pollution exposure on cord blood protein profiles and postnatal lung function in infants born to asthmatic mothers.

Environmental research·2026
Same author

Early-life lung function deficits partially explain the link between maternal asthma and bronchiolitis or asthma in offspring.

BMJ open respiratory research·2026
Same author

A perfused, parallelized blood brain barrier-tumor platform for compound permeation and efficacy investigations.

Microsystems & nanoengineering·2026
Same author

Cold induced pain elicits reproducible breath metabolomic responses across geographically distinct populations.

iScience·2026
Same author

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Related Experiment Video

Updated: Jan 19, 2026

Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation
11:27

Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation

Published on: December 8, 2018

8.5K

Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode Arrays.

Torsten Bullmann1,2,3, Milos Radivojevic4, Stefan T Huber1

  • 1RIKEN Quantitative Biology Center, RIKEN, Kobe, Japan.

Frontiers in Cellular Neuroscience
|September 27, 2019
PubMed
Summary

This study introduces a novel method for mapping neuronal axonal arbors using high-density microelectrode arrays (HD-MEAs). The automated technique significantly improves throughput for understanding neuronal information processing.

Keywords:
action potentialaction potential propagationaxonal arborizationsaxonsextracellular electrical fieldhigh-density microelectrode arrayhigh-throughput screening

More Related Videos

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.8K
Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array
09:48

Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

Published on: March 27, 2015

8.8K

Related Experiment Videos

Last Updated: Jan 19, 2026

Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation
11:27

Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation

Published on: December 8, 2018

8.5K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.8K
Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array
09:48

Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

Published on: March 27, 2015

8.8K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Electrophysiology

Background:

  • Understanding axonal roles in neuronal information processing is crucial.
  • Current patch-clamp methods lack throughput for full axonal arbor investigation.
  • Advanced methods are needed to map neuronal connectivity at scale.

Purpose of the Study:

  • To present a new, automated method for simultaneous mapping of axonal arbors from numerous neurons.
  • To leverage extracellular signals recorded by high-density microelectrode arrays (HD-MEAs).
  • To enhance the throughput and efficiency of axonal arbor analysis.

Main Methods:

  • Utilized high-density microelectrode arrays (HD-MEAs) for extracellular signal recording.
  • Developed an automated segmentation method based on local correlation of extracellular signals.
  • Validated the method against ground truth and receiver operator characteristics.

Main Results:

  • The new segmentation method demonstrated superior performance compared to previous techniques.
  • Successfully mapped axonal arbors of 68 neurons within 6 hours using a standard HD-MEA.
  • The automated approach is scalable to next-generation HD-MEAs with higher data output.

Conclusions:

  • The developed method offers a high-throughput solution for mapping neuronal axonal arbors.
  • This technique facilitates large-scale analysis of neuronal connectivity and function.
  • The automated approach is poised to accelerate discoveries in systems neuroscience.