Translating neuroscience discoveries into effective therapies remains challenging: in 2024, only around 7% of drug trials resulted in approved treatments, often due to preclinical models failing to capture the complexity of the human brain. Conventional in vitro systems frequently lack the cellular diversity and interactions necessary to reflect disease biology, limiting their predictive power and reproducibility.
This poster presents a fully automated human iPSC-derived cortical triculture model integrating glutamatergic neurons, astrocytes and microglia to better replicate human neurobiology. Developed on Arctoris’ Ulysses® modular automation platform, the workflow enables precise control of cell seeding, maturation, treatment and imaging in 384-well format, minimising operator variability while enabling scalable, high-throughput experimentation.
- How automated iPSC-derived cortical tricultures improve physiological relevance compared with traditional monoculture assays
- How Arctoris’ Ulysses® platform enables scalable 384-well automation of complex multicellular neuronal models
- How automated seeding improves cell accuracy, survival and consistency versus manual workflows
- Evidence of microglial activation and neuroinflammatory responses following physiologically relevant stimulation
- How the model supports disease-relevant genetic variants, including APP-swe mutant neurons, enabling more translational neuroscience assays