Hydrogel Bead Self-Assembly for 3D Neuronal Network Organization

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for studying brain diseases and disorders, such as epilepsy and Alzheimer's, lack the complexity of human physiology, making it difficult to develop effective treatments, as conventional research methods like animal models and 2D tissue cultures fail to replicate the human brain's structure and function.

Innovation Solution

A microfluidic flow-focusing chip with temperature control is used to encapsulate neuronal cells in hydrogel beads, allowing them to self-assemble into organized 3D networks, enabling physiological relevant neuronal cultures that can be analyzed using optical and electronic measurements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional 2D tissue cultures are used, then ease of manufacture and operation are maintained, but physiological relevance and complexity of human brain modeling are insufficient

Engineering Contradiction:
Improvephysiological relevanceVSAvoidculture system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent transitions from conventional 2D tissue cultures to 3D organoid models, adding a spatial dimension to cell organization. This dimensional change enables more physiologically relevant neuronal network formation while maintaining compatibility with standard culture protocols through the use of hydrogel encapsulation and microfluidic fabrication techniques

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If animal models are used, then physiological complexity is improved, but species-specific differences and translational relevance to human brain are reduced

Engineering Contradiction:
Improvehuman physiology representationVSAvoidmodel fabrication complexity
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent segments the human brain tissue into discrete organoid units that can be independently fabricated, cultured, and analyzed. By segmenting human cells into controllable 3D structures rather than using whole-animal models, the system achieves human physiological relevance while simplifying fabrication and enabling high-throughput experimentation

Inventive Principle:
Principle #1Segmentation

3Reliability

If 3D neuronal networks are created, then physiological relevance is improved, but control over spatial organization and reproducibility are reduced

Engineering Contradiction:
Improveneuronal network organizationVSAvoidspatial distribution control
Core Design Contradiction:
ReliabilityVSManufacturing precision

Solution Approach 1:

The patent applies preliminary action by pre-encapsulating neurons and glial cells in hydrogel beads with controlled composition and size before assembly into 3D networks. This pre-processing step ensures uniform cell distribution, controlled density, and reproducible spatial organization, enabling precise manufacturing of physiologically relevant neuronal structures

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent utilizes parameter changes in the hydrogel formulation (crosslinking density, composition, stiffness) to control the physical and biochemical properties of the 3D neuronal networks. By adjusting these parameters, the system achieves both physiological relevance and manufacturing precision in a single integrated approach

Inventive Principle:
Principle #35Parameter changes

4Reliability

If advanced 3D brain models are developed, then research capability is improved, but analysis accessibility and measurement compatibility are reduced

Engineering Contradiction:
Improvebrain disease modeling capabilityVSAvoidoptical and electronic measurement accessibility
Core Design Contradiction:
ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent employs thin hydrogel shells encapsulating neuronal tissue, which are optically transparent and mechanically flexible. These thin-film structures enable non-invasive optical imaging, electrophysiological recordings, and drug penetration while maintaining 3D tissue architecture, thus preserving measurement accessibility in advanced brain models

Inventive Principle:
Principle #30Flexible shells and thin films

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach allows for the creation of a physiologically relevant 3D neuronal network that retains cell viability and differentiation potential, enhancing experimental reproducibility and enabling advanced brain models for drug testing and neurological function modulation.

Implementation Method 1

Cell encapsulation took place at a temperature below 4° C., after which gelation was initiated by transporting the droplets to a region at 37° C. on the same chip

Methodology Applied
Scientific EffectGelation: Gel

Implementation Method 2

a microfluidic chip was engineered, in which cells can be encapsulated in Matrigel® droplets... Cell encapsulation took place at a temperature below 4° C., after which gelation was initiated by transporting the droplets to a region at 37° C.

Methodology Applied
Scientific EffectThermal phase transition: Phase Change

Data Source

PatentUS11466251B23D spatially organized cultured neuronal tissue by means of stacking beads comprising hydrogel encapsulated cells
Publication Date: 2022.10.11 TECH UNIV EINDHOVEN
  • US11466251B2 patent drawing
  • US11466251B2 patent drawing
  • US11466251B2 patent drawing

AI summary

Culturing of organized 3D networks of neuronal cells is provided. Individual neuronal cells are encapsulated in gel beads. The gel beads are self-assembled into ordered structures in a bioreactor. Subsequent culturing of the cells in the bioreactor leads to the formation of an organized 3D network of the neuronal cells. Such structures have many applications, especially for as says of neuronal network function and/or structure.