An experiment produces events, not only files

In situ TEM and SEM experiments evolve as the sample environment changes. Images, videos, spectra, diffraction patterns, and 4D-STEM datasets are easier to interpret when they remain connected to the conditions present at that moment.

Temperature, pressure, gas composition, liquid flow, voltage, current, tilt, position, timing, sample identity, calibration, and user-defined events may all form part of the scientific record.

The image shows what happened. The experiment record helps explain why.

What is an in-situ experiment record?

An in situ experiment record is a structured account of what happened during an experiment. It may include commanded and measured values, hardware states, timestamps, alarms, notes, identifiers, calibration information, and references to acquired files.

No single source necessarily contains the complete record. Depending on the product and workflow, information may come from Hummingbird Control™, microscope or OEM acquisition software, operator input, and customer-selected data systems.

Information that may form part of the record:

Thermal data
Temperature, setpoint, ramp rate, dwell time, heater power, sensor state
Gas data
Pressure, channel state, gas ratio, purge events, flow, analyzer data
Liquid data
Flow state, pump settings, liquid volume, heating state
Electrical data
Voltage, current, compliance limits, sweep steps, potentiostat reference
Motion data
Manipulator position, tilt angle, stage/holder position, saved locations
Safety data
Alarms, limits, interlocks, emergency stop events
Session data
Start/stop time, operator notes, sample ID, holder ID, chip ID, microscope ID
Export data
CSV, JSON, HDF5/Zarr, PDF report, image/video references

Your data, your workflow

Colibri Platform™ supports an open approach to data management for in situ microscopy. Laboratories can use their experimental data across the software and data environments selected for their research.

Depending on verified product capabilities and project scope, experimental data may be used with OEM microscope software, Python workflows, open-source analysis tools, facility databases, LIMS or ELN systems, institutional repositories, and customer-selected automation or AI environments.

Colibri Platform™ does not replace a laboratory’s LIMS, ELN, repository, or institutional database. Instead, its open data approach supports the use of experimental data within the systems the laboratory already selects and manages.

These workflows can support liquid-cell TEM, gas-cell catalysis, electrical biasing and EBIC, 4D-STEM, tomography, and other in situ microscopy applications. Specific data fields, exports, and integration pathways vary by Hummingbird product and configuration.

This approach gives laboratories the flexibility to build data workflows around their research, existing infrastructure, and future needs.

Data formats and integration pathways

Data fields, export formats, and integration pathways vary by Hummingbird product and configuration. Product pages and technical documentation identify the capabilities supported by each system.

Currently available

Product-specific CSV logs where supported.

Supported or project-specific

Customer- or OEM-specific exports, file references, handoff workflows, and defined software integrations.

Future direction

JSON experiment records, HDF5/Zarr-compatible exports, and PDF experiment summaries.

Relating experimental-state data to microscope data

The appropriate method depends on the systems involved and the required level of coordination.

Manual comparison

Users can compare supported Hummingbird logs with microscope files using acquisition times, operator notes, file names, or other references.

Timestamp and identifier alignment

Where both systems provide usable timestamps, session identifiers, or file references, these fields can help relate experimental-state data to microscope data.

Supported or project-specific integration

For defined configurations, Hummingbird Connect™ may support coordinated data exchange or a project-specific workflow pathway. Support depends on the OEM environment, microscope model, software version, Hummingbird system, available interfaces, and project requirements.

Experimental context for AI workflows

Image-only models may identify patterns without knowing the conditions that produced them. Temperature, pressure, electrical state, position, timing, calibration, alarms, and operator actions can provide important context for customer-selected analysis, automation, and AI environments.

For adaptive experiments, external software may also need to determine what the hardware is doing, whether a command succeeded, and whether the observed response matches the intended state.

Explore AI-Ready TEM & SEM Workflows

Frequently Asked Questions

What data can Hummingbird software record?
Can Hummingbird software export data?
Can Hummingbird data be aligned with TEM images?
Can Hummingbird support custom OEM integrations?
Can Hummingbird support Python workflows?
Can experiment records be used for AI or machine-learning workflows?

Discuss your data management workflow

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