High Content Imaging

With high content imaging (HCI) compound effects can be linked to physiological and morphological cellular changes in a robust and quantitative manner. The implementation of more physiologically relevant cell models in your HCI assay, like hiPSC-derived disease models, increases the translation of the read-out to the clinic. This makes HCI a powerful technique at many stages of the drug discovery pipeline, including target validation or a DiscoverHIT screening project. To enable HCI with hiPSC-derived disease models in early drug discovery screening, we offer large-scale manufacturing.

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Neurite outgrowth assays

Neurite growth is essential to the formation of neural networks and nerve regeneration. Studying these networks provides useful information to drug discovery projects on neurodegeneration as well as neurotoxicity. Human iPSC-derived cortical neurons are a suitable model to study neurite outgrowth in HCI.

Human iPSC-derived cortical neurons were stained for Tubulin beta 3 (green) and nuclei (blue). Cell bodies were identified and a binary mask of the neurite network was obtained, hence allowing to calculate total neurite length for the respective field of view. Images were acquired with a 20x objective to resolve individual neurites.


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Case study  


Phenotypic screen of hypertrophic cardiomyopathy


Ncyte CNS Neurons

hiPSC-derived central nervous system neuron cells and astrocytes