This model is suitable for testing various chemicals for their toxicity profiles in human neurons and neural stem cells. With our customizable approaches, this model is highly flexible to allow investigating almost endless readouts such as stem cell activity, neurogenesis, neuronal network formation, biochemical events in the cells, changes in gene expression, epigenetic changes, migratory behavior, synaptic activity, neurptransmitter releace, morphological changes and many more. This model is ideal for drug development campaigns for stringent and early selection of hit compounds.
We are excited to announce that Neuron D selected as one of the top 12 startups of 2023 by Nature Awards The Spinoff Prize in partnership with Merck! A feature article on Neuron D published in Nature.