
Cloud platform for training, deploying, and integrating AI models for microscopy image segmentation and analysis, accessible to users without coding.
Vendor
ZEISS Group
Company Website


ZEISS arivis Cloud AI is a cloud-based software platform designed to make deep learning accessible for microscopy image analysis. It enables users—regardless of coding experience—to train, customize, and deploy AI models for image segmentation and analysis directly in the cloud. The platform features an intuitive interface that guides both novice and expert users through all steps of model training, from annotation to deployment, ensuring reliable and reproducible results. Trained models can be used for image segmentation within the cloud or exported for integration into other ZEISS software products, such as ZEN, ZEN core, and arivis Pro. The system supports collaborative annotation, sharing, and review of analysis results, and leverages independent cloud computation resources for scalability and high throughput. ZEISS arivis Cloud AI is suitable for research and industrial environments that require automated, standardized, and high-quality image analysis workflows.
Key Features
No-Code AI Model Training Train deep learning models for image segmentation without programming.
- Intuitive, user-friendly interface for all experience levels.
- Step-by-step workflow from annotation to deployment.
Cloud-Based Scalability and Accessibility Leverage cloud resources for high-throughput analysis.
- Accessible from anywhere, supporting remote and distributed teams.
- Scalable computation for large and complex datasets.
Seamless Integration with ZEISS Ecosystem Export and use trained models across ZEISS software.
- Direct integration with ZEN, ZEN core, and arivis Pro.
- Supports open-source model formats (e.g., ONNX, Cellpose, Stardist).
Collaborative Annotation and Sharing Facilitate teamwork and reproducibility.
- Collaborative annotation of regions of interest.
- Share and review analysis results within teams or organizations.
Automated and Reproducible Workflows Standardize and automate image analysis.
- AI-driven segmentation for consistent, high-quality results.
- Reduces manual workload and variability in analysis.
Benefits
Accelerated and Standardized Image Analysis Streamlines and automates complex segmentation tasks.
- Reduces time and effort for manual image processing.
- Ensures reproducibility and reliability of results.
Accessibility for All Users Empowers users without coding or AI expertise.
- Lowers the barrier to advanced image analysis.
- Enables broader adoption of AI in research and industry.
Collaboration and Scalability Supports teamwork and adapts to growing data needs.
- Facilitates collaborative workflows and sharing.
- Scales with project size and computational demands.