NeuroCube®

In Vivo AI Platform for Neurological Phenotyping
 NeuroCube® is designed to evaluate gait to assess the impact of treatments on motor impairment disorders and pain. It provides a view of a rodent’s movements, highlighting the differences between a normal and an impaired mouse using machine learning.

How It Works

NeuroCube® employs computer vision to detect changes in gait geometry (e.g., stride length, base width) and dynamics (e.g., swing time, speed) in rodent models of neurological disorders and pain.

AI algorithms like those used in NeuroCube® define and rank the features that define a phenotype and calculate a discrimination probability between the disease model and its control to determine onset of disease phenotype for pharmacological intervention.

The figure above shows gait geometry and dynamic features in the aged SOD1 mouse model of ALS.

Discover more with our other cubes

SmartCube®

eCube®

PhenoCube®