DeepCell
Validated and trusted morphology AI for bone marrow and peripheral blood
DeepCell is HiPatho's pathologist-trusted AI platform for bone marrow and peripheral blood morphology. Powered by the HCS-1800 — a 120-slide, 100x oil lens scanner — DeepCell automates cell identification and counting, transforming labs from manual methods to a fully automated digital workflow with clinically validated accuracy.
Built for How You Work
Case Management & Review
Complete case management with thumbnail previews, sample tracking, cell counts, and one-click access to review, edit, and share results. Supports bone marrow and peripheral blood report workflows.
Features
HCS-1800 Scanner Integration
Powered by the HCS-1800 — a 120-slide automated scanner with 100x oil immersion lens (NA 1.4), 0.035μm/pixel resolution, and automatic oiling for unattended operation.
40+ Cell Type Classification
Identifies and classifies more than 40 distinct cell types in bone marrow and peripheral blood specimens with clinically validated accuracy.
Cell-Level Traceability
Every classified cell is individually traceable back to its source image — trackable single-cell-level records for quality assurance and convenient human review.
Incremental Learning
Transfer-learning AI model creates custom models for every lab. Continuously improves classification accuracy by learning from your own reviewed data over time.
Automated Differential Counting
Automates the tedious manual differential count process for both bone marrow aspirates and peripheral blood smears, reducing report TAT by up to 90%.
24/7 Continuous Operation
Process 200+ slides daily with 7×24 continuous automatic operation. Auto-generated reports free pathologists to focus on interpretation.
Cloud-Based Remote Access
Cloud access enables remote report sign-off from anywhere. Collaborative diagnostic platform for remote consultation and second opinions.
AI-Assisted Training
Built-in features support assessing, monitoring, and promoting staff competency through AI-assisted training workflows.
