Neuroproof has developed proprietary tools to analyze and interprete spike train data () from MEA neurochips. By analyzing more than 200 activity-describing parameters it is possible to perform a phenotypic analysis of a compound’s effect on neuronal cell networks. This delivers important information in the drug discovery and development process.
NeuroProof has profound experience to establish quality standards and multivariate statistical analysis. Robust, reproducible and valid data is delivered and visualized by appropriate diagrams.
We analyze a wide range of phenomena within activity patterns, such as general activity, burst structure, burst regularity and network synchronicity.
NeuroProof’s data base of the electrophysiological profiles of marketed compounds delivers important information about compound effects. It is possible to compare a new compound's fingerprint with known compounds and to identify general activity patterns, which describe compound classes as antiepileptic, antipsychotic, antidepressant and others.