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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Scientific Insight

Turn measurements into comparisons you can defend.

We organize evidence-bearing measurements around the experimental question, with explicit contrasts, replicates, uncertainty, and source links.

When this layer matters

Measurements become insight through valid comparison.

Controls, replicates, batches, and experimental units determine what the data can support.

  • Define valid contrasts

    Organize measurements around supported conditions, controls, and independent units.

  • Test replicate evidence

    Report effect size, uncertainty, and consistency at the right level of replication.

  • Separate description from inference

    Use an explicit null model before treating spatial association as a finding.

Figure 1

Keep a scientific finding linked to the released measurement evidence behind it.

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The rail is what separates an analysis from a slide. Replicate, object, source image and pipeline release travel with the work, so a reviewer who doubts a finding can reach the measurement and the run that produced it rather than asking for them.

Concrete deliverables

A reviewable analysis your team can continue.

Start with released measurements or documented data your team can stand behind.

  • Analysis contract

    Eligible evidence, planned comparisons, exclusions, and analysis-ready data.

  • Findings with limits

    Effects, uncertainty, figures, and an explicit account of what the analysis cannot claim.

  • Review and continuation

    Source identifiers, report references, interoperable exports, and scoped code.

Figure 2

Show phenotype, time, and space as distinct analytical lenses.

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The lenses are alternatives, not stages: nothing hands off between them, and each has its own shape — phenotype segments and profiles, time follows objects and measures how fast they change, space needs a null model before a neighbourhood means anything. They converge on one gate because that is where an association is stated as an association, and not as a cause.

Scientific Insight interprets released measurements; many programs appropriately stop at verification.

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Design partnership

Bring the question, not only the image format.

Define the comparisons, evidence, deliverables, and review path before scaling the analysis.

Discuss your analysis

Continue exploring

Follow the question from another angle.

  • Principle

    Choose metrics from the question.

    Why common scores can miss the decision an experiment needs to support.

    Read the Lab Note

  • Approach

    Trace findings to source.

    See the pipeline that keeps analysis connected to QC and provenance.

    Explore the approach

  • Application

    See analysis in context.

    Browse experimental programs with different readouts and evidence needs.

    Browse applications

  • Partnership

    Frame the analysis engagement.

    See how Fovea scopes questions, evidence, and reviewable deliverables.

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