Our AI-assisted scanning optimization is managed by our expert engineering team. By using preview images from your lab, we train and fine-tune scanning models that are tailored to your sample characteristics. This approach significantly improves scan accuracy while minimizing the traditional trial-and-error process performed by users.

🔧 How It Works:
1. Users provide preview images from their typical slide samples.
2. Our factory engineers train AI models to optimize scanning parameters based on this data.
3. The optimized model is then deployed to your system, ensuring high-quality results without requiring user-side AI interaction.

🛠️ Engineering Support:
- Remote or on-site configuration by our technical team.
- Rapid model deployment after initial image sampling—much faster than traditional manual adjustments.
- Ongoing software updates and system tuning provided by factory experts.

✅ Benefits:
- High scan accuracy tailored to your lab’s actual sample conditions.
- Minimal setup time compared to conventional manual calibration.
- No need for users to manage AI models—fully handled by our factory team.
- Consistent and reliable scanning performance from day one.

Our solution combines the precision of KFBio scanners with a powerful Digital Slide Management System, forming a fully integrated, closed-loop ecosystem. This system streamlines the entire pathology workflow—from slide scanning and archiving to diagnosis and collaboration.

Key Functions:
- Unified Device & Data Flow: Real-time monitoring and management of scanners.
- Slide Management: Structured archiving, smart labeling, and easy retrieval.
- Smart QC: AI-based quality checks for blur, folds, and artifacts.
- Diagnosis & Collaboration: Split-screen HE/IHC comparison, multi-level task assignment.
- Web-based Access: Secure, browser-based platform accessible across departments.

Benefits:
- Centralized control with minimal IT complexity.
- Seamless integration with LIS and PACS.
- Scalable for clinical, research, and education environments.

What is DICOM WG-26?

WG-26 is the DICOM Working Group for Pathology. It defines how Whole Slide Images (WSI) are stored, transmitted, and managed in a standardized way, enabling pathology images to be handled like radiology studies.


Why is DICOM important for digital pathology?

Proprietary formats (SVS, NDPI, BIF, KFB, etc.) hinder interoperability. DICOM standardizes image structure and metadata, allowing seamless data exchange across PACS, LIS, and AI systems.


How does DSMS support DICOM WG-26?

DSMS supports the DICOM WSI SOP Class and DICOMweb protocols (WADO-RS, QIDO-RS, STOW-RS), allowing direct integration with PACS and third-party systems for viewing and archiving.


Does DICOM support replace proprietary format?

Not necessary. DSMS remains compatible with major proprietary formats while enabling migration and unified management through DICOM-based pipelines.


What are the benefits for hospitals and researchers?

- Unified management of pathology and radiology images in one PACS.
- Easier multi-center collaboration and tele-diagnosis.
- Structured datasets for AI model training.
- Long-term data accessibility and migration safety.


Which standards does DSMS comply with?

DSMS implements DICOM WG-26 WSI standards and DICOMweb protocols, and is interoperable with HL7 and IHE frameworks, supporting secure access control and audit logging.