PuzzleVision

Next-Gen Pathology Platform

Unified workspace, flexible plugin ecosystem. Seamlessly connecting cloud, hospital, and local — reshaping pathology workflows.

What is PuzzleVision?

PuzzleVision is a digital pathology image viewing platform centered on intelligence, all-scenario coverage, and high security. It serves pathologists, medical researchers, and healthcare administrators by addressing core pain points in pathology image viewing, annotation, collaboration, and deployment.

The system adopts a modular platform design, providing AI-assisted diagnostic interfaces and flexible integration with multiple annotation tools to support efficient pathology image annotation and management. It also supports multi-terminal access and three deployment modes — cloud, hospital/on-premises, and local — to meet the needs of efficient clinical workflows and flexible research collaboration while ensuring data security and ease of use.

Why choose
PuzzleVision

Unified Slide-Review Experience

Connects to the Pathology Information System (PIS) or imports local data, adapts flexibly to different work scenarios, and provides an advanced interactive experience for diagnosis and annotation.

Extensible Plugin Ecosystem

Modular access to the AI ecosystem, covering multi-parameter prediction with small models, in-slide analysis with multimodal foundation models, interactive region segmentation, protein/spatial transcriptomics prediction, agent-based pathology report generation, and more.

Multi-Scenario Deployment

Supports multi-terminal access and multi-platform deployment, offering cloud, hospital, and local modes to meet different data privacy and compliance requirements.

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Core Highlights

End-to-end digital pathology analysis capabilities that empower precision medicine.

Synergistic Diagnostic Analysis with Large and Small Models

Foundation models capture slide-level context and perform risk stratification, while domain-tuned models focus on lesion boundaries and biomarker interpretation; together they generate explainable, reviewable reference results for quality control and longitudinal follow-up.

Adaptive Scanning Assistant
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Adaptive Scanning Assistant

Multi-scale analysis powered by the Triplet foundation model.

Agent-Based Report Generation

Specialized agents link slide review, evidence fusion, and quality-control checks into structured narratives and pathology highlights, then export review-ready, editable report drafts in one step.

Multi-agent Evidence-based Analysis
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Multi-agent Evidence-based Analysis

Human-AI collaboration enhances diagnostic report generation.

Low-level Vision Prediction

Pixel- and region-level modeling of tissue texture, boundaries, and staining response supports front-end segmentation, weak-stain enhancement, and pseudo-color mapping. It provides a stable, aligned visual substrate for downstream semantic reasoning and quantitative analysis.

 Interactive Precision Reasoning
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Interactive Precision Reasoning

Multiple tools, from freehand drawing to magic-wand auto-contouring, enhance the annotation interaction experience.

App Marketplace

On-demand plugin subscriptions, including AI models, segmentation, report generation, and more.

Explore All Apps

Structured Annotation

Structured annotation: label selection, template filling, and category management

AI Segmentation

AI Segmentation

One-click precise tissue segmentation with multi-model support

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Liver Cancer Grading / mcp

Subscribed

Grades liver cancer into well-differentiated (G1), moderately differentiated (G2), poorly differentiated (G3), and undifferentiated (G4) levels.

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Breast Histology Dx / mcp

Subscribed

Classifies breast tissue by histological features, including invasive carcinoma, DCIS, LCIS, and more.

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Colorectal Cancer Tumor Detection / mcp

Subscribed

Detects the presence of colorectal cancer tumor tissue.

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Gastric Cancer Grading / mcp

Subscribed

Grade gastric cancer into G1–G4 differentiation levels

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Three Deployment Modes

Flexibly adapts to diverse data security and usage needs, with seamless switching between the three modes.

Cloud Mode

Zero deployment and ready to use. Data is encrypted in the cloud and accessible across regions, making it ideal for research teams and cross-regional collaboration.

Hospital Mode

All raw data remains on premises; only authorized, de-identified metadata is synced to the cloud, meeting the security and compliance requirements of large hospitals.

Local Mode

Standalone offline viewing and annotation, with one-click cloud sync when online; ideal for mobile consultations and portable research.

Technology and Data Architecture

Demonstrates system robustness for technical decision-makers.

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Smart Tile Gateway

Securely retrieves JPEG tiles through the cloud gateway, enabling full front-end/back-end decoupling and fine-grained permission control.

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Flexible Data Node Storage

A single node can seamlessly mount multiple data stores, including NAS, local disks, and cloud object storage.

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Strict Permission Isolation

The workspace serves as the minimum isolation unit; cases, WSIs, and annotations are all bound to a workspace, ensuring clear security boundaries.

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Custom AI Plugin Development & Deployment

Models built through UnPuzzle and similar workflows can connect to standardized APIs for one-click deployment and invocation. It shortens the path from experiment to production and accelerates the translation of research outputs into platform-based applications.

FAQ

Get Started with PuzzleVision

Whether you need cloud collaboration, on-premises compliance, or offline portability — we have you covered.