With high-definition monitoring, cloud-based storage, and advanced machine learning, Envision facilitates scalable real-time behavioral monitoring of individual animals in their group-housed home cage environment. The novel open architecture of Envision allows end users to leverage pre-defined digital measures as well as easily develop their own custom measures, providing near-unlimited flexibility and continuous evolution of tools to classify animal behavior.
With Envision Developer Environment, users can leverage the core framework of Envision to create custom digital measures. In combination with JAX validated digital measures the opportunities to tailor Envision to your specific research needs are nearly limitless.
A - See study overviews or view group specific data.
B - Review acclimation and dosing records.
C - Filter by activity to track and manage study variables.
A - Quickly view cage and individual level activity.
B - Review annotation to ensure welfare and treatment compliance.
C - Insights on animal behavior and physiology for any day and time.
D - Review and share annotations to ensure optimal study conduct.
E - Add annotations to highlight unusual behavior or mark significant events such as cage changes or study interventions.
A - Correlate cage and individual subject level digital measures to activities and events.
B - Quickly identify significant trends in digital measures with data visualization across selected time windows.
In this case study, explore how the Envision platform enhances sensitivity in measuring disease progression and facilitates earlier identification of end-stage disease phenotypes with minimal disturbance and manual scoring.
This white paper highlights how the JAX Envision platform enables continuous experimental monitoring with highly accurate cage-side detection and tracking of mice.
Learn more about JAX's Envision and its applications in preclinical research in this succinct brochure.