Celligraphy
AI-based automated pathology analysis engine.
Celligraphy
연구·임상 통합 워크플로우
고정밀 분석 · 전공정 자동화
엔터프라이즈 Lab 환경 대응 설계
Applications
Overview
Advanced AI engine for automated detection and quantification of pathological features. 1–2 min per slide · whole-slide coverage · native AnyPath integration.
Key Features
- Automated feature detection
- Real-time quantification
- Deep learning models
- Seamless AnyPath integration
Key Performance Metrics
* Based on internal test results
1–2 Min per Slide
Deep learning automation delivers up to 20× faster analysis than manual reading
Whole-slide Quantification
Automated detection across the entire slide, not limited to selected ROIs
Continuous Learning Model
AI model improves accuracy over time with accumulated data
Native AnyPath Integration
Celligraphy results instantly accessible within AnyPath—zero additional setup
Strategic Advantage
Discover the overwhelming performance advantages over conventional methods and competitors.
| Metrics | Manual | Existing | OUR SOLUTIONCelligraphy |
|---|---|---|---|
| Detection Automation | 100% manual reading | Partial ROI detection only | Full-slide automated detection & quantification |
| Processing Speed | 20–40 min per slide | 5–10 min (partial automation) | 1–2 min per slide |
| Model Updates | N/A | 1–2 updates per year | Continuous online model updates |
| AnyPath Integration | Separate system required | API integration with limitations | Native AnyPath integration |
Trusted
Celligraphy delivers validated performance trusted across research and clinical settings.
Simplifies complex workflows while improving reproducibility and throughput.
Validation
Internal validation data and technical documentation available on request.
Our specialists architect deployment strategies tailored to your environment.