01
Automated cell annotation for pathology slides
Detect, classify, and spatially map cells across H&E and IHC slides with review-ready overlays.
Computational pathology bioinformatics
SBIOS
Product-grade AI for automated cell annotation, biomarker intelligence, and synthetic H&E data that helps pathology teams move from slide images to confident biological insight.
Slide SBI-2407
96.8% QC
14,282cells annotated
27biomarker regions
3.2Msynthetic patches
Built for pathology AI teams
From whole-slide images to structured, validated biological signals.
SBIOS connects image analysis, multimodal biomarkers, and generative pathology data into one workflow for research groups, diagnostic AI companies, and translational medicine programs.
Product suite
Three specialized systems, one pathology intelligence layer.
02
Biomarker discovery
Convert morphology, expression, and spatial context into candidate biomarkers for stratification and response modeling.
03
Synthetic H&E data
Generate representative slide patches for rare-class balancing, stain normalization, and privacy-aware expansion.
Annotation engine
96.8% confidence
Interactive cell annotation review
Click a product above to inspect how SBIOS packages slide evidence, model confidence, and downstream exports for that workflow.
Scroll intelligence
Annotate every cell in context.
SBIOS maps cell identity, tissue boundaries, and confidence into an explorable pathology layer.
14,282 cells
review-ready annotations
96.8%
confidence
Cell annotation
Classify tumor, immune, stromal, and rare cells while preserving slide-level traceability.
Biomarker mapping
Turn morphology and spatial neighborhoods into candidate biomarkers and expression signatures.
Synthetic H&E
Generate diverse, quality-controlled patches for rare classes, stain variation, and model stress tests.
Validation loop
Review confidence maps, expert corrections, and exportable evidence before deployment.
Video demo
Cell typing in H&Es using AI
The original SBIOS cell-typing video is preserved here, now framed as a product demo inside the updated frontend experience.
Interactive analysis
Tune the pathology layer and watch the readout change.
Explore how SBIOS separates tumor, immune, and stromal neighborhoods, then increases synthetic H&E diversity for stronger model development.
Tumor-enriched region
Dense epithelial clusters with high annotation certainty and clean spatial boundaries.
64%
Balanced rare-class expansion
Workflow
Designed around scientific traceability.
Every output is tied back to slide provenance, model confidence, and spatial evidence.
Slide intake normalized
Ingest captures context before computation.
SBIOS keeps slide metadata, stain information, and acquisition details attached to every tile so downstream analysis stays traceable.
Affiliated organizations
Partner with SBIOS
Build pathology AI with cleaner labels, stronger signals, and richer data.
Ready to elevate your research? Let our bioinformatics expertise drive your next discovery.