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.
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.
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.
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.
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.
Computational Imaging
Turn difficult images into defensible measurements.
We design and evaluate the method around your instrument, sample, and intended readout.
When this layer matters
When the image is not the measurement.
Use this layer when the signal cannot be measured directly.
Recover hidden signal
Reconstruct information obscured by noise, blur, or missing views.
Define the readout
Define the objects, events, tracks, or features that count.
Fit the experiment
Adapt tools whose assumptions do not match the data.
Figure 1
Show how an acquisition becomes inspectable technical artifacts and measurements.
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Concrete deliverables
An evaluated method your team can use.
We keep what works and engineer only what the measurement requires.
Computed artifacts
Reconstructed images, masks, tracks, features, and measurement tables.
Method definition
Models, units, assumptions, operating requirements, and integration points.
Evaluation evidence
Representative tests, failure cases, limits, and acceptance criteria.
Computational Imaging owns the method; Verified Pipeline owns execution and evidence.
See the complete systemDesign partnership
What does your imaging system need to measure?
Bring the images, intended measurement, and current failure. Decide what to keep, adapt, or build.
Continue exploring
Follow the question from another angle.
Principle
Choose the method that fits.
When to compose existing tools—and when custom computation is justified.
Read the Lab NoteApproach
Follow the evidence path.
See how data, models, QC, and review become one measurement system.
Explore the approachApplication
See the method in context.
Browse pipelines shaped around different modalities and experimental goals.
Browse applicationsPartnership
Shape the right engagement.
See how Fovea scopes analysis, pipeline, and imaging-system work.
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