The intelligence layer for quantitative imaging.

01 · Agentic Imaging

Run, diagnose, and improve the system.

Use system context and bounded tools to prepare and monitor approved runs, investigate exceptions, and evaluate candidate changes while the Verified Pipeline remains the execution system of record.

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02 · Scientific Insight

See what changed, where, and under which conditions.

Turn released, evidence-bearing imaging measurements into condition, phenotype, temporal, and spatial analyses linked through stable identifiers to source images and experimental context.

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03 · Verified Pipeline

Keep evidence attached to every result.

Turn approved imaging methods into controlled execution with explicit operating conditions, stage-level QC, provenance, review, and change control.

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04 · Computational Imaging

Make complex signals measurable.

Design computation around the instrument, sample, and intended measurement—from calibration and reconstruction to segmentation, tracking, and quantitative features.

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05 · Adaptive Acquisition

Let the experiment respond in real time.

Connect live image analysis to bounded instrument control so acquisition can refocus, retarget, rescan, change sampling, or switch modes as the experiment changes.

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Adaptive Acquisition

Spend acquisition time where the experiment changes.

Live analysis can refocus, retarget, or resample within limits as quality drifts, rare events begin, or samples change.

When this layer matters

Fixed acquisition either overspends or misses.

Use a feedback loop when the valuable state is sparse, brief, or changing.

  • Catch rare events

    Change detail quickly when a defined event appears.

  • Search, then target

    Use a fast overview to select regions for higher-detail acquisition.

  • Maintain useful quality

    Respond when focus, signal, alignment, or the sample drifts.

Figure 1

Contrast fixed acquisition with an experiment-responsive acquisition timeline.

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Both rows run on the same clock and start from the same plan. They part at the second column, where one keeps surveying and the other forms an estimate — and again at the end, where the adaptive run hands back not only a series but the record of every decision that shaped it.

Concrete deliverables

Prove the loop before commissioning it.

Each phase ends with a decision, not an automatic commitment to the next.

  • 1 · Feasibility

    Candidate signals, actions, timing, risks, and a clear go or no-go.

  • 2 · Prototype or replay

    Recorded-stream analysis, a candidate policy, and latency and error tests.

  • 3 · Commissioned loop

    Calibrated adapters, approved limits, failure tests, operator controls, and decision records.

Representative applications

Different experiments need different feedback.

The trigger and action change; the loop and its limits stay explicit.

  • Rare-event capture

    Watch gently, capture a permitted burst, then return to watching.

  • Overview to target

    Search broadly, select coordinates, acquire detail, and confirm the result.

  • Quality maintenance

    Estimate quality and make small permitted corrections during a long run.

Trust, limits, and evidence

Control should match the cost of error.

Set authority, safeguards, fallbacks, and evidence for the instrument and action.

  • Bound the action

    Define permitted commands, limits, timing, retries, and override authority.

  • Plan degraded behavior

    Specify fallback, safe halt, interlocks, and manual control.

  • Record each decision

    Connect the estimate, policy, command, confirmation, and resulting state.

Figure 2

Show the bounded control loop and its parallel action evidence.

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The envelope is the safety property: an estimate can ask for anything, and only actions inside the policy are executed. The loop closes on a check of whether the action did what it was meant to do, so a feedback system that drifts is visible in the record rather than hidden in the images.

Adaptive Acquisition alone acts on the instrument, and a complete system may not need it.

See the complete system

Design partnership

Where should your instrument pay closer attention?

Bring the instrument, target state, and allowed actions. Test whether a safe feedback loop earns its place.

Discuss an adaptive imaging system

Continue exploring

Follow the question from another angle.

  • Principle

    Measure where it matters.

    See why uniform acquisition can waste time, light, and biological opportunity.

    Read the Lab Note

  • Approach

    Keep control evidence-led.

    Follow the QC and review system that supports a bounded loop.

    Explore the approach

  • Application

    Explore live-cell systems.

    See where changing biology makes timing and targeted detail matter.

    Browse the application

  • Partnership

    Test whether the loop earns its place.

    See how Fovea scopes feasibility before instrument control.

    View services