ZEISS arivis

ZEISS arivis is a software platform developed by ZEISS for advanced, AI-driven image analysis, primarily serving researchers and scientists working with microscopy data. The platform is designed to handle large, multi-dimensional datasets across 2D, 3D, and 4D formats, supporting diverse image file formats and enabling reproducible results without requiring coding skills from end users.

The arivis ecosystem addresses common challenges in life sciences research, including the growing volume and speed of microscopy data generation, limited computing infrastructure, and fragmented storage. It supports AI model training, pipeline automation, and scalable batch processing across local, cloud, and hybrid environments.

Core Products

• arivis Pro — A desktop software solution for visualization and image analysis across 2D, 3D, and 4D datasets. It supports pre-trained models such as Cellpose, custom AI models trained via arivis Cloud, and integration of new technologies through Python scripting. Features include real-time big data handling, flexible and customizable analysis pipelines, and an immersive VR analysis environment. Formerly known as Vision4D and VisionVR, arivis Pro is used in applications such as cleared brain imaging analysis and light sheet microscopy.
• arivis Hub — A server-based software that scales image analysis pipelines created in arivis Pro through parallelized batch processing on local or cloud servers. It provides centralized, browser-based data access and user management, enabling collaboration across teams and facilities. Features include high-throughput scalability, automated workflows, deep learning integration, and streamlined data storage. Formerly known as VisionHub.
• arivis Cloud — A cloud-based platform for training custom deep learning models without prior AI or coding knowledge. It uses a human-centered approach requiring minimal image annotation to begin model training. Trained models can be exported for local use and integrated into arivis Pro, ZEN, or ZEN core image analysis workflows.

Key Capabilities

• Support for multiple microscopy image file formats and large multi-dimensional datasets
• AI model training and integration into analysis pipelines
• No-code interface accessible to researchers without programming backgrounds
• Parallelized batch processing for high-throughput analysis
• Hybrid computation support across local, cloud, and combined infrastructure
• Real-time visualization including immersive VR environments
• Centralized data management and user access control for imaging facilities
• Integration with ZEISS ZEN and ZEN core software workflows

Deployment and Integration

• Supports local, cloud, and hybrid deployment models
• Compatible with ZEISS ZEN and ZEN core image analysis platforms
• Exportable AI models for use across different environments
• Browser-based access for collaborative data management through arivis Hub
• Python scripting support in arivis Pro for extending functionality

ZEISS arivis is positioned as a unified ecosystem for scientific and industrial imaging workflows, used by research facilities, imaging core labs, and academic institutions for tasks ranging from neuroscience data analysis to undergraduate education and industrial research and development.