Data-driven objective biomarkers
Introduction to AI-based biomedical image analysis for cell segmentation
Linköping University · ECIU University
View on ECIU Engage →Quantitative tissue analysis
PioneerBio turns microscopy into measurement. Our AI platform goes beyond segmentation — multi-scale morphometrics and spatial analysis build reproducible "architectural fingerprints" of your tissue, so findings rest on numbers rather than impressions.
Developed with researchers at Linköping University · Drag the image to see the analysis
In research & teaching with
From qualitative art to quantitative science
For decades, pathology and morphometry have depended on what a trained eye can grade and count. Every step of our platform replaces an impression with a measurement — the same image, the same protocol, the same number, every time.
How we work
An end-to-end workflow that keeps your data, your models, and your results in one auditable place.
We work from your images and your endpoint. Ground truth is annotated collaboratively in the platform, with roles and review built in.
projects · annotation · ground truthGPU-accelerated models delineate every structure; multi-scale morphometrics and spatial statistics turn them into candidate biomarkers, validated against held-out data.
segmentation · morphometrics · validationInteractive results you can interrogate — per structure, per region, per cohort — and export as figures and tables ready for publication or filing.
dashboards · export · publication-readyThe platform
Segmentation is the first step, not the product. The platform is designed around what happens after the mask.
From sub-cellular texture to whole-tissue statistics — hundreds of calibrated features per structure, in real physical units.
Neighbourhood graphs, density maps and regional gradients capture how tissue is organised — not only what it contains.
Versioned models, pinned pipelines and a full audit trail — the same input gives the same answer next month, and you can prove it.
Projects, roles and shared annotation bring clinicians, biologists and analysts into one workspace — used in research and teaching today.
Teaching
Linköping University · ECIU University
View on ECIU Engage →Linköping University · ECIU University
View on ECIU Engage →Grounded in peer review
Our methods grow out of published research in quantitative microscopy and sensory biology — documented, cited, and open to scrutiny.
Work with us
Bring a dataset and a question. In a 30-minute call we'll walk through what the platform can measure in your images — and what it would take to get there.