ArticleDevelopment (Cambridge, England)2022
Practical guide for preparation, computational reconstruction and analysis of 3D human neuronal networks in control and ischaemic conditions.
Article in Development (Cambridge, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Human Platelet-Derived Extracellular Vesicles Are Internalized by Human Induced Pluripotent Stem Cell-Derived Neurons Under Control and Hypoxic Conditions.Journal of extracellular biology · 2026Article
- Hyaluronic Acid-Based 3D Bioprinted Hydrogel Structure for Directed Axonal Guidance and Modeling Innervation In Vitro.Advanced healthcare materials · 2025Article
- Non-hematopoietic erythropoietin splice variant is produced in the diseased human brain and confers neuroprotection.Frontiers in cellular neuroscience · 2025Article
- Human tripartite cortical network model for temporal assessment of alpha-synuclein aggregation and propagation in Parkinson's Disease.NPJ Parkinson's disease · 2024Article
- Simultaneous induction of vasculature and neuronal network formation on a chip reveals a dynamic interrelationship between cell types.Cell communication and signaling : CCS · 2023Article
- Modeling Central Nervous System Injury In Vitro: Current Status and Promising Future Strategies.Biomedicines · 2022Review
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Authors and funding
4 authors.
Funding
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Abstract
To obtain commensurate numerical data of neuronal network morphology in vitro, network analysis needs to follow consistent guidelines. Important factors in successful analysis are sample uniformity, suitability of the analysis method for extracting relevant data and the use of established metrics. However, for the analysis of 3D neuronal cultures, there is little coherence in the analysis methods and metrics used in different studies. Here, we present a framework for the analysis of neuronal networks in 3D. First, we selected a hydrogel that supported the growth of human pluripotent stem cell-derived cortical neurons. Second, we tested and compared two software programs for tracing multi-neuron images in three dimensions and optimized a workflow for neuronal analysis using software that was considered highly suitable for this purpose. Third, as a proof of concept, we exposed 3D neuronal networks to oxygen-glucose deprivation- and ionomycin-induced damage and showed morphological differences between the damaged networks and control samples utilizing the proposed analysis workflow. With the optimized workflow, we present a protocol for preparing, challenging, imaging and analysing 3D human neuronal cultures.
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