The FootFaultScan System provides a sophisticated, fully automated solution for detecting slips and missteps during rodent gait, serving as a cornerstone for advanced behavioral neuroscience studies. By utilizing high-speed digital imaging and intelligent tracking algorithms, the system accurately identifies when a limb falls through the rungs of grid floor, , meticulously quantifying sensorimotor deficits. This automated approach eliminates the subjectivity inherent in manual observation, offering granular metrics on error frequency, limb placement, and compensatory gait patterns across preclinical models of spinal cord injury, Parkinson’s, and cortical lesions. Researchers can evaluate fine motor control with unparalleled objectivity, ensuring that longitudinal recovery data and pharmacologic responses are both reliable and reproducible.

Engineered for high-throughput laboratory environments, FootFaultScan accelerates the path from experimentation to publication by delivering robust, statistically significant evidence within a validated framework of preclinical compliance.