AI histopathology for preclinical research
Objective, reproducible AI-based tissue quantification across your full cohort, for better insights, more statistical power, and faster study completion.
Working models across four areas, each built and validated on real preclinical cohorts. Different area? Custom analysis tailors the pipeline to your study.
Working in a different tissue, stain, or endpoint? We tailor the pipeline to your study and build the read-out you need.
The evidence
We co-develop and validate our AI with expert pathologists and preclinical CROs, so the read-outs are objective, reproducible, and applicable to real preclinical cohorts.
Peer-reviewed study
In a peer-reviewed diabetic-nephropathy study with Physiogenex, the AI counted every glomerulus and tubule across the whole kidney section. Its read-outs resolved a dapagliflozin treatment effect that classical manual scoring could not detect.
Method validation
Developed with TNO, the AI measures atherosclerotic lesion area across the full aortic-root cross-section. Its read-outs tracked expert pathologist scoring closely, giving an objective, reproducible alternative to manual measurement.
Tell us about your cohort and endpoints. We will show you what Aiosyn's read-outs would look like on your tissue.
Manual scoring is slow, varies between readers, and only ever samples the slide. The value here is precision: reproducible, whole-tissue read-outs give your study more statistical power, so real treatment effects show up more clearly and leaner cohorts can carry the work.
The same slide returns the same read-out every time. No inter-reader variability, so a real treatment effect is not lost in measurement noise.
Every structure on the whole section is quantified, not a pathologist-sampled subset. More signal means more statistical power, and fewer animals needed to reach it.
Whole cohorts are analysed in a fraction of the time of manual review, so a large study is no longer gated on reader hours.
Drag the handle across an entire kidney section: every structure classified, every cell detected, edge to edge. What a pathologist scores by sampling a handful of fields, the AI reads across 100% of the tissue.
Stained sectionAI analysisThree steps, no new scanning workflow, no manual scoring in between.
Send whole-slide images of your stained tissue in the formats you already scan.
Aiosyn's AI segments structures, detects cells, and quantifies across every slide in the cohort.
Receive reproducible, whole-tissue quantification, ready for your analysis and defensible in review.
