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Colibri Platform™ captures and organizes Hummingbird holder data with complete microscope session metadata, including timing, setpoints, environmental conditions, alarms, notes, and system events. By aligning imaging data with the full experimental record, it eliminates dependence on proprietary analysis tools and supports flexible, open workflows with seamless data export and integration.

In-situ microscopy images are most valuable when they remain connected to the conditions that produced them. Temperature, pressure, gas composition, liquid flow, voltage, current, tilt, position, timing, and hardware state can all affect what the microscope records. Colibri helps preserve that context as an exportable experiment record that can travel with the data.

An in-situ experiment record is the structured record of what happened to the sample during an experiment: setpoints, measured values, hardware states, timestamps, alarms, notes, and export files.
These records capture experimental data across multiple domains, providing a complete, exportable view of the conditions applied during each experiment.

Hummingbird Scientific believes in exportable, interoperable experiment records. Researchers should be able to review experimental conditions outside the instrument room, connect control logs with microscope image data, share results with collaborators, and preserve metadata in formats that support long-term, reproducible scientific workflows.
Colibri Platform™ data management is built around open data access, not data lock-in, enabling integration with external analysis tools, custom pipelines, and evolving research workflows.

Manual alignment
User aligns Hummingbird logs with microscope image timestamps after the experiment.
Timestamp alignment
Hummingbird logs and microscope files share timestamps/session identifiers.
Synchronized workflow
Control actions and acquisition steps are coordinated through supported APIs or custom integration.

Colibri Platform™ data formats are designed to support open-source tools, custom analysis pipelines, and AI-driven microscopy workflows without requiring proprietary environments.
Export temperature/liquid-flow/control log for alignment with image stack.
Export pressure/gas-ratio/heating history for comparison with image/video data.
Export voltage/current/time data for correlation with detector signals.
Export stage/position/stimulus timing to support external data pipelines.
Export tilt/position/environment state to support reconstruction metadata.
Provide structured telemetry for downstream feature detection or adaptive experiments.


Share your software requirements, automation goals, and microscopy workflows to receive a customized quote and recommended control, integration, and data management solutions.