Engineering the future
of histology research.
We build precision tools for annotation, segmentation, and quantitative analysis.
Histology research demands precise annotation of complex tissue structures. Our platform is purpose-built to handle the full pipeline — from raw microscopy images to publication-ready quantitative results.
By combining precision drawing tools, deep learning segmentation, and provenance tracking, we enable reproducible research workflows that were previously impractical for most labs.
Through end-to-end dataset management, real-time training monitoring, and comprehensive export capabilities, we transform how research teams approach tissue analysis.
Combining annotation, training, and analysis into an engine of discovery.
Our platform enables precise annotation of histological structures, training of state-of-the-art segmentation models, and quantitative analysis — generating reproducible, publication-ready results with full provenance.
Annotation
We build precision tools for sub-pixel boundary tracing across high-resolution microscopy images.
Training
We train state-of-the-art segmentation models on your data with real-time monitoring and full reproducibility.
Analysis
We generate quantitative metrics with complete provenance tracking from model to measurement.
Built for reproducible research, not just pretty pictures.
Every design decision in HistoScope prioritizes correctness, traceability, and reducing friction. Wrong measurements or masks mean product failure. Every coordinate is in image-space, every mask is validated, every metric is verifiable.
Built with PyTorch, FastAPI, Next.js, and PostgreSQL. PI-led labs with role-based access control. Full audit trail from annotation to export.
“Our mission is to build the research tool we wished we had — one that treats provenance as a first-class feature, not an afterthought.”