01
Project Discussion
Evaluation of your imaging modalities, biological questions, and expected deliverables.
Workflow
Our collaborative process
A transparent, scientist-friendly process built on dialogue, validation, and reproducibility. Each step is documented so that the analysis can be audited, reproduced, and extended.
Five steps
From biological question to quantitative results
A structured process, scaled to the size and sensitivity of your project — from short feasibility studies to long-term R&D partnerships.
02
Feasibility & Strategy
Definition of analysis workflows, quantification endpoints, and validation strategy.
03
Pipeline Development
Custom development of automated or semi-automated image analysis workflows.
04
Validation & Quality Control
Robust verification of segmentation, quantification, and reproducibility.
05
Delivery & Reporting
Delivery of processed datasets, quantitative outputs, figures, and documentation.
Working with you
Modes of collaboration
We adapt the engagement model to the size, sensitivity, and duration of your project.
Feasibility studies
Short, focused projects to determine what is technically and biologically feasible — and how to design the full study.
Custom pipeline development
End-to-end design, development, validation, and documentation of a quantitative imaging pipeline tailored to your data.
Long-term R&D support
Ongoing collaboration with your scientific teams — including method evolution, batch reanalysis, and methodological audits.
Ready to start with a feasibility step?
The fastest way to know whether your imaging study can yield robust quantitative endpoints is a short, well-scoped feasibility analysis.