Brain Tumor Classification
Utilizes a powerful Vision Transformer (ViT) to provide real-time classification of common brain tumor patterns (glial, meningiothelial, etc.) on H&E slides, guiding initial diagnosis.
Real-Time Computational Pathology Companion
Bring AI Insights
Directly To
Your Workflow.
OnSight Pathology is a standalone, vendor-agnostic software that bridges the gap between powerful AI models and the daily workflow of pathologists, offering real-time analysis without compromising data privacy.
Download OnSight Pathology
Note: For Windows users, if model downloads fail during first launch,
try running OnSight Pathology as Administrator and press Enter when
the terminal appears.
Download OnSight-WSI (Windows GPU)
try running OnSight Pathology as Administrator and press Enter when
the terminal appears.
The Adoption Barrier
Artificial intelligence holds immense potential to enhance objectivity and efficiency in histopathology. Yet, its integration into clinical practice is critically stalled. Pathologists face a fragmented landscape of proprietary WSI formats, incompatible viewers, and data security hurdles that make deploying AI tools a complex, expensive, and often prohibitive endeavor.
"The best AI model is useless if it can't be used."
A Radically Simple Approach
Vendor-Agnostic
Works with any slide viewer on any OS. If it's on your screen, OnSight can analyze it. No APIs, no plugins needed.
100% Secure & Private
All processing happens locally on your machine. Patient data and proprietary images are never transmitted or uploaded.
Real-Time Feedback
Leverages local GPU/CPU power to deliver live AI inferences as you navigate slides, enabling an interactive workflow.
The OnSight Workflow
See It In Action
Example Use Cases
OnSight ships with a suite of pre-trained models to assist with common histopathological tasks. Users can switch between models on-the-fly to match their diagnostic need.
Application 01 / Classification
Application 02 / Detection
Automated Mitosis Counting
Objectify tumor grading by automatically detecting and counting mitotic figures in real-time. Calibrate results to physical area (mm²) for reproducible, report-ready metrics.
Application 03 / Quantification
IHC Quantification
A YOLO-based model segments and counts Ki-67 positive and negative nuclei, providing a rapid and objective proliferation index. Includes controls for overlay transparency to aid interpretation.
Application 04 / Quantification
Single-Cell Phenotyping
A Cellpose-SAM module that segments and extracts a list of nuclear features for continuous cell phenotyping analysis and quantification in real time.
Application 05 / Interpretability
Interactive AI Chat
Integrates a Vision-Language Model that supports natural-language queries about the current image. Ask questions like, "What feature makes this glial?" to get deeper, interpretable insights from the AI.
OnSight-WSI Extension
OnSight-WSI is a dedicated Whole Slide Image extension built natively for Windows GPUs. It processes full-resolution slides (SVS, NDPI, TIFF) through a custom interactive viewer, enabling real-time, aligned overlays of HAVOC morphologic heterogeneity and RetinaNet-based mitosis detection. Download the extension from the links above to integrate it into your workflow.
The Team
OnSight is developed by the Diamandis Lab, a multidisciplinary team of pathologists, scientists, and engineers.
Meet The ResearchersCommon Questions
What are the system requirements?
For optimal real-time performance, a Windows PC with a dedicated NVIDIA GPU (RTX 20-series or newer) is recommended. The software remains functional on CPU-only systems with a slight delay in inference. For macOS, systems with both Apple Silicon and Intel processors are supported, although computationally heavy modules may experience slower performance on Intel processors.
Can I use my own AI models?
The current version is distributed with the pre-packaged, validated models. We are actively working on a framework to allow users to easily integrate their own custom models in future releases.
What is the current status of OnSight regarding clinical diagnostic use?
OnSight is an experimental and research tool that is intended to support future clinical applications but has not yet been validated for clinical diagnostic use. At this stage, it is provided strictly for research, educational, and investigational purposes.
Ready to Augment Your Workflow?
Download the latest version of OnSight. It's free, secure, and ready to use in minutes.