PicoTeam InVivo: Three Levels of Integrated InVivo Operations

Bringing animal management, facility execution, and study oversight together within one unified digital architecture

In vivo research requires alignment between animal management, facility execution, and study oversight. When these operate within a shared framework, data remains consistent and documentation reflects actual execution.

PicoTeam InVivo brings these domains together within one architectural system, delivered in three progressively expanding packages built on a single data foundation.

Package 1 – Digital Cage Cards

Focused on execution at the cage, this level enables digitization without replacing existing systems. Real-time animal status, clinical flags, and prescription visibility are displayed directly at the rack and synchronized with mobile workflows.

Observations and treatments are recorded immediately, preserving context and reducing transcription delays. Clinical visibility improves at the point of care, while reliance on paper updates and manual reconciliation decreases.

Package 2 – Facility Operations

This level centralizes operational control across the facility. Animal management, housing, husbandry, veterinary tracking, pharmacy workflows, and task coordination operate within one integrated environment.

Animal status, location, and health history remain synchronized, improving study context, strengthening clinical oversight, and providing clear visibility into daily task execution and housing capacity.

Package 3 – Study Management

This level integrates protocol-driven study execution directly into facility workflows. Protocols generate executable tasks, and recorded procedures, measurements, and deviations are linked immediately to study context.

Study progress remains continuously visible, treatments remain traceable within each animal’s broader history, and task approval workflows create transparent coordination between research and operations.

One Architecture, Progressive Depth

Each package builds on the same unified architecture. Expansion does not fragment data or require system migration. Add-ons such as breeding management, sample tracking, and GxP compliance extend capabilities while preserving continuity.

The progression from cage-level digitization to full study lifecycle management reflects increasing operational maturity within one connected framework.