SpatialX provides the ORCA™ platform, a computational pathology solution that integrates AI for whole slide image (WSI) analysis. The platform enables pathologists to develop and deploy AI models for tasks like tumor region identification and cell segmentation, accelerating diagnosis and improving accuracy in histopathology.
Funding
Funding not disclosed
Founders
Product
Problem
Pathologists face challenges in accurately and efficiently diagnosing and grading complex diseases from whole slide images (WSIs). The manual analysis of these large-format digital pathology slides is time-consuming and can lead to inter-observer variability, impacting diagnostic precision and workflow efficiency in histopathology laboratories.
Solution
SpatialX offers the ORCA™ platform, a computational pathology solution designed to integrate artificial intelligence into the pathologist's workflow for WSI management and annotation. The platform enables the development and deployment of AI models for tasks such as tumor region identification, cell segmentation, and quantitative analysis of the tumor microenvironment. By providing intuitive tools for annotation and model training, ORCA™ aims to accelerate diagnostic processes, enhance diagnostic accuracy, and streamline operations for histopathology labs. This empowers pathologists with AI-driven insights to support more precise and timely cancer diagnosis and grading.
Target Audience
The primary users are pathologists, researchers, and histopathology laboratories seeking to leverage AI for enhanced analysis of whole slide images in cancer diagnostics and research.
Features
- ORCA™ platform for AI model development and deployment in computational pathology.
- Capabilities for WSI classification, enabling tumor region identification.
- Tools for tissue and cell segmentation using deep learning engines.
- End-to-end workflow integration for complex feature extraction and analysis.
- Support for training AI models without requiring coding experience.
- Pre-trained AI models available through an AI marketplace for immediate deployment.
- Ability to fine-tune models with custom datasets for specific research needs.
- TMEX pipeline for comprehensive analysis of the tumor microenvironment, including tissue and cell segmentation.
- Compatibility with H&E stained slides for broad applicability.