3Dai™: Advanced Image Analysis
Reveal hidden insights in your tissue with Artificial Intelligence and Machine Learning
3D ai™ platform utilizes Artificial Intelligence and Machine Learning to transform complex biological data into clear, actionable visualizations.
Analyzing spatial relationships, distances, densities, and clustering patterns uncovers hidden insights within tissue samples.
The Role of AI & Machine Learning in Our Process
Custom Model Development
Create AI models for specific research needs, ensuring accuracy and reliability
Model Training & Validation
Generate insights into spatial organization and trends in your data
Performance Optimization
Fine-tune models for efficiency to run on 10 – 100s of TB-sized image datasets.
What is Spatial Statistics?
The City Metaphor
Spatial Relationships
Like how different city zones interact (residential, commercial, industrial), we study how different cell types relate to each other spatially, revealing important biological relationships and functions.
Distance Metrics
Similar to measuring distances between city landmarks, we analyze distances between cells. This helps identify interaction patterns, just as city planners study commuter patterns between neighborhoods.
Density Analysis
Just as we analyze population density in different city districts, spatial statistics helps us understand cell distribution patterns. High-density areas might indicate important biological activity, like downtown business districts in a city.
Clustering Patterns
Like neighborhoods in a city, cells often form distinct clusters. We use spatial statistics to identify these groupings and understand if they're random or indicate specific biological functions.
Data Visualization
Transform complex biological data into clear, insightful visualizations. Our tools enable us to create custom spatial statistics, analyze feature interactions, perform spatial clustering, detect patterns, and conduct multi-dimensional analysis. Our offer includes:
3D visualization videos
Interactive data viewers
Statistical graphs
Publication support