Digital Pathology Image Analysis
A comprehensive solution for tissue segmentation, cell identification, and data processing
For research in immunology, oncology, pathology, toxicology, etc.
300,000 cells deep learning model
No need for complex parameter settings
Parallel processing for multiple tasks analysis, significantly enhances efficiency
Smoothly process various image formats
User-friendly interface
Accelerate Insights with Intelligent Image Quantification
Digital Pathology Image Analysis is a cutting-edge AI solution built to transform how pathology images are interpreted and quantified. Compatible with all mainstream digital slide formats and scanner systems, it delivers seamless integration into your research environment.
Using deep learning–based models, the software identifies regions of interest, classifies cellular structures, and quantifies metrics such as cell count and area—enabling accurate, high-throughput image analysis without manual intervention.
A streamlined user interface and high-performance engine ensure fast, efficient workflows. Customizable modules and standardized processes support a wide range of research fields, from toxicology to oncology, making it a powerful tool for next-generation pathology labs.
