Study workflow

Begin with the decision the study needs to inform. A candidate comparison, a barrier transport question and an exposure safety question require different evidence.

INPUT

Candidate or material information, existing findings and the intended decision.

WHAT HAPPENS

Translate the question into an endpoint hierarchy and define what is inside the study scope.

OUTPUT

A study brief with objectives, primary endpoints and open feasibility questions.

↳ Use the agreed brief to evaluate model suitability.

Model selection connects the tissue biology to the experimental environment. Consider the cell source, culture interface and the biological functions that must be represented.

INPUT

Study brief, tissue or disease context and proposed endpoints.

WHAT HAPPENS

Review model format, culture conditions, reference measurements and chip compatibility.

OUTPUT

A model rationale and a list of suitability checks before the study run.

↳ Carry model constraints into the experimental protocol.

A useful comparison needs defined controls, treatment conditions and sampling times. Plan these together so the experiment can answer the original question.

INPUT

Model configuration, candidate conditions and endpoint priorities.

WHAT HAPPENS

Define control groups, concentration or exposure conditions, replicates, timing and run acceptance criteria.

OUTPUT

An agreed protocol, sample map and measurement schedule.

↳ Review readiness before model preparation and execution.

Connect the protocol to the physical system. Model condition and run context must travel with the experimental observations.

INPUT

Approved protocol, test materials and prepared model configuration.

WHAT HAPPENS

Record preparation and baseline conditions, perform the planned interventions and document deviations.

OUTPUT

Run records, treatment history and traceable sample identifiers.

↳ Link every measurement to its sample and run conditions.

Bring imaging, electrical signals and assay measurements into the same study context. The relevant readouts depend on the question and model.

INPUT

Experimental samples, run records and the measurement schedule.

WHAT HAPPENS

Collect the selected readouts, check completeness and align measurements with controls and time points.

OUTPUT

A structured measurement set with sample metadata and quality annotations.

↳ Compare results using the analysis plan and document limitations.

Interpret the findings in relation to the original decision. A study can identify a response pattern, refine a hypothesis or reveal where more evidence is needed.

INPUT

Measurements, controls, run context and the original study objectives.

WHAT HAPPENS

Review comparisons, variability and limitations with the project team.

OUTPUT

A study report, agreed data package and recommendations for follow-up questions.

↳ Use the evidence to plan confirmation studies or the next development decision.