Hardware
VisionX Scanners
VisionX scanner models for whole-slide image acquisition, with model-specific capacity and configuration options.
Learn About VisionX Scanners
AI-Powered Digital Pathology
Transforming Cancer Diagnostics with Artificial Intelligence
DiPath develops digital pathology solutions spanning whole-slide scanning and AI-assisted analysis, designed to support image acquisition, review, quantification, and collaboration across pathology workflows.
PathGPT Engine
Our Solutions
Comprehensive Digital Pathology Platform
From slide digitization to AI-powered analysis, we provide end-to-end solutions for modern pathology labs.
AI Software
D-PathAI Platform
Software workflows for slide review, classification, and quantification across supported applications.
Learn About D-PathAI Platform
Analysis
IHC Quantification
IHC quantification workflows for supported biomarkers, with structured outputs for user review.
Learn About IHC Quantification
Screening
Cytology Screening
Cytology screening workflows that organize candidate regions and review outputs for qualified users.
Learn About Cytology Screening
Core Technology
Explore Technology
PathGPT Workflow Capabilities
Multi-Scale Review
Supports analysis across configured image scales.
Workflow Processing
Processing characteristics depend on the model, configuration, and hardware.
Visual Review Aids
Heatmaps and overlays can support review of model outputs in configured workflows.
PathGPT Engine
Research
Peer-Reviewed Research
Explore research contributions across medical imaging and computational pathology.
IEEE TMI
ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Image Synthesis
A topology-guided pathology foundation model enabling high-resolution pathology image synthesis with cellular-level control.
2025
Read IEEE TMI Paper
AAAI 2024
PathAsst: A Generative Foundation AI Assistant towards AGI of Pathology
A generative foundation AI assistant for pathology, bridging large language models with expert pathology knowledge for diagnostic support.
2024
Read AAAI 2024 Paper