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

Nodal Analysis01:10

Nodal Analysis

1.9K
Nodal analysis is a fundamental method in electrical engineering used to simplify the process of circuit analysis. This method revolves around the concept of using node voltages as the primary variables for circuit analysis. The objective is to determine the voltage at each node in a circuit, which can then be used to find other quantities of interest, such as currents through specific components.
Consider, for instance, a simple circuit composed of three nodes and three resistors, as shown in...
1.9K
Nodal Analysis with Voltage Sources01:11

Nodal Analysis with Voltage Sources

2.0K
Nodal analysis is a remarkably effective method used in electrical engineering to simplify the analysis of complex circuits, including those with dependent or independent voltage sources. Its strength lies in its systematic approach to breaking down circuits into manageable components, making it easier for engineers to understand and solve.
Consider a circuit that contains four resistors and two voltage sources, as shown in Figure 1. One of these voltage sources is connected between a...
2.0K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.8K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.8K
Group Design02:01

Group Design

10.8K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.8K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Network Covalent Solids02:18

Network Covalent Solids

16.3K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.3K

You might also read

Related Articles

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

Sort by
Same author

Structural connectome changes as biomarkers of stroke recovery: a longitudinal 7T MRI study.

BMC neuroscience·2026
Same author

Tailored Individual Follow-Ups Versus a One-Day Group Course in Patients With Long COVID (Post- COVID-19 Condition): Protocol for a Randomized Controlled Trial.

JMIR research protocols·2026
Same author

Randomized trial of nirmatrelvir/ritonavir versus placebo for adults with acute COVID-19 to prevent long COVID: PanoramicNOR Trial.

Trials·2025
Same author

Induced long-term potentiation improves synaptic stability and restores network function in ALS motor neurons.

Neurobiology of disease·2025
Same author

Functional Complexity of Engineered Neural Networks Self-Organized on Structured 3D Interfaces.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

Nanoporous platinum microelectrode arrays for neuroscience applications.

RSC advances·2025

Related Experiment Video

Updated: Feb 16, 2026

A Multi-compartment CNS Neuron-glia Co-culture Microfluidic Platform
13:24

A Multi-compartment CNS Neuron-glia Co-culture Microfluidic Platform

Published on: September 10, 2009

12.4K

Structuring a multi-nodal neural network in vitro within a novel design microfluidic chip.

Rosanne van de Wijdeven1, Ola Huse Ramstad2, Ulrich Stefan Bauer2

  • 1Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, PO Box 8905 MTFS, NO-7491, Trondheim, Norway. Rosanne.v.d.wijdeven@ntnu.no.

Biomedical Microdevices
|January 3, 2018
PubMed
Summary

Researchers developed a novel open microfluidic chip to create structured, multi-nodal neural networks in vitro. This platform enables detailed study of neural network formation and dynamics for developmental and regenerative neuroscience.

Keywords:
3D cell cultureAxon growth and guidanceLab-on-chipMaskless alignerMicrofabricationOrganoid

More Related Videos

Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis
11:00

Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis

Published on: October 14, 2025

1.3K
Use of a High-throughput In Vitro Microfluidic System to Develop Oral Multi-species Biofilms
07:09

Use of a High-throughput In Vitro Microfluidic System to Develop Oral Multi-species Biofilms

Published on: December 1, 2014

14.1K

Related Experiment Videos

Last Updated: Feb 16, 2026

A Multi-compartment CNS Neuron-glia Co-culture Microfluidic Platform
13:24

A Multi-compartment CNS Neuron-glia Co-culture Microfluidic Platform

Published on: September 10, 2009

12.4K
Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis
11:00

Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis

Published on: October 14, 2025

1.3K
Use of a High-throughput In Vitro Microfluidic System to Develop Oral Multi-species Biofilms
07:09

Use of a High-throughput In Vitro Microfluidic System to Develop Oral Multi-species Biofilms

Published on: December 1, 2014

14.1K

Area of Science:

  • Neuroscience
  • Bioengineering
  • Developmental Biology

Background:

  • Neural network formation involves complex axon outgrowth and guidance.
  • Microenvironments, rich in cues, are critical for neural development.
  • Microfluidic chips offer controlled environments for studying neural processes.

Purpose of the Study:

  • To introduce a novel open microfluidic chip for in vitro neural network construction.
  • To enable the study of complex neural network formation and dynamics.
  • To provide a versatile platform for developmental and regenerative neuroscience research.

Main Methods:

  • Designed a novel open microfluidic chip with interconnected nodes and axon-permissible tunnels.
  • Utilized a partially open design for controlled cell seeding and reduced shear stress.
  • Cultured dorsal root ganglion cells (DRGs) within the microfluidic chip.

Main Results:

  • Successfully structured a multi-nodal neural network in vitro using the microfluidic chip.
  • Demonstrated compartmentalization of neurons within six nodes connected by axon tunnels.
  • Showcased 3D neural culture capabilities within the chip, including matrigel and aggregate cultures.

Conclusions:

  • The novel microfluidic chip design effectively structures complex neural networks in vitro.
  • The platform provides a versatile tool for studying neural network dynamics.
  • This technology is highly relevant for research in developmental and regenerative neuroscience.