MIT.nano automates a busy lab to scale discovery

MIT.nano now runs on autopilot, reserving 160,000 hours of discovery MIT.nano.

Each year, more than 1,500 researchers rely on over 200 tools at MIT.nano to pursue experiments across disciplines, collectively generating 160,000 hours of work across 88,000 instances of tool use MIT.nano. The numbers illustrate a facility that has grown in both size and pace, where access to instrumentation is as important as the experiments themselves, and where a smart reservation system can keep discovery moving instead of bottling it up MIT.nano.

An automated reservation system serves as the connective tissue of the facility, balancing demand across diverse user needs while supporting the practical realities of a shared lab space MIT.nano. Researchers arrive with different workflows, safety requirements, and administrative needs, yet the system must present a seamless experience. The integration with MIT’s broader digital infrastructure, including onboarding, authentication, safety training, and billing, helps ensure access is efficient and compliant, reducing barriers so researchers can focus on their work MIT.nano.

Over the past three years, during a period of rapid growth in both equipment and facility usage, MIT.nano undertook a transition to a new platform designed to scale with demand while maintaining operational continuity MIT.nano. The effort reflects an ongoing commitment to evolving infrastructure that supports the pace, complexity, and collaborative spirit of modern research MIT.nano.

Engineering history shows that the CORAL lab management platform, jointly developed by MIT and Stanford University and introduced in 2003, long guided how researchers reserve and manage shared instrumentation MIT.nano. The move away from CORAL signals a deliberate shift toward a more scalable backbone tailored to MIT.nano’s expanding ecosystem, even as the platform’s longevity underscores the challenges of sustaining shared facilities over decades MIT.nano.

For practitioners watching lab infrastructure, the MIT.nano transition offers a cautionary tale about scaling core services without sacrificing safety, fairness, or traceability MIT.nano. The practical tradeoffs are clear: automation must be tightly integrated with authentication, onboarding, safety training, and billing to truly reduce friction; monitoring usage patterns becomes essential to prevent bottlenecks; and continuity plans are vital when migrating core management systems to avoid losing rounds of discovery to downtime MIT.nano.