MCT 3000

SAG is measured geometrically, using the actual spatial distance between internal reflection peaks captured by the LCI probe. This method provides the true sagittal height, not a calculated estimate based on curvature assumptions. Accuracy is within ±1 µm, with full physical traceability.

Yes. The MCT‑3000 detects every internal optical interface, even in multi-layer, transparent, or adhesive-bound parts. It can resolve layers as thin as 3–5 µm, including UV glue or air gaps between male/female molds, making it ideal for validating bonded assemblies.

No. The MCT-3000 supports pre-configured product templates. Switching between lens types requires only a template selection no mechanical recalibration. This enables fast product transitions on the production floor with zero impact on precision.

MCT‑3000 is designed with thermal and mechanical stabilization, and maintains a standard deviation of less than ±0.5 µm over extended production cycles. It also features built-in self-monitoring and drift detection, ensuring long-term consistency without frequent manual checks.

Absolutely. The system exports data in CSV, JSON, Excel, or SQL formats and supports real-time integration via API or file sync. You can feed results into SPC dashboards, MES, or even set up automatic alerts for deviations or out-of-spec measurements.

Each measurement is completed in under one second even in saline. The system isolates the optical boundaries of the lens from the surrounding fluid, allowing accurate determination of SAG, center thickness, and base curve without being affected by the liquid medium.

Yes. The MCT‑3000 is designed with a modular architecture, enabling seamless integration into automated production lines. It can be configured with robotic handling, tray-based loaders, or inline conveyor systems, depending on the production setup. For labs and R&D, it functions as a desktop system; for manufacturing, it scales into fully automated cells, supporting unattended, high-volume operation with real-time data export and QA alerts.