ZEISS AI for High Content Analysis is a comprehensive suite of software tools designed to automate and accelerate the analysis of microscopy images in life sciences, biotechnology, and pharmaceutical research. The platform integrates advanced artificial intelligence and machine learning algorithms to enable automated image segmentation, classification, and quantification across 2D, 3D, and 4D datasets. It supports seamless workflows from image acquisition to analysis, including auto-import from local or cloud storage, protocol-based automation, and batch processing. The suite includes cloud-based and on-premises solutions such as ZEISS arivis Cloud for AI model training, arivis Pro for advanced multidimensional analysis, and arivis Hub for scalable, parallelized processing. These tools are designed to handle large, complex datasets, minimize manual intervention, and ensure reproducibility and scalability for high-throughput applications. The software is widely used for applications such as drug discovery, genotoxicity studies, and cellular phenotyping, providing researchers with actionable insights and streamlined data management.

Key Features

Automated, AI-Powered Image Analysis Automates segmentation, classification, and quantification of microscopy images.

• Supports 2D, 3D, and 4D datasets for comprehensive analysis.
• Customizable protocols and advanced segmentation algorithms for complex biological structures.

Scalable, High-Throughput Workflows Handles large volumes of data with parallelized, batch processing.

• Auto-import from file storage or Amazon S3, with automated analysis pipelines.
• Scalable from small experiments to large, multi-dimensional studies.

Cloud and On-Premises AI Model Training Flexible AI model development and deployment.

• Cloud-based arivis Cloud for easy, code-free AI model training.
• Integration with arivis Pro and ZEN for advanced analysis and workflow automation.

Comprehensive Data Management and Collaboration Centralized storage, sharing, and access control for research teams.

• Project sharing, user management, and secure data access.
• Compatible with diverse file formats and microscope systems.

Dynamic Visualization and Statistical Analysis Advanced visualization and analytics for complex datasets.

• Time-series analysis, dynamic 4D visualization, and feature extraction.
• Integration with statistical tools for further data interpretation.

Benefits

Accelerated Research and Drug Development Speeds up discovery and reduces time to market.

• Automates repetitive analysis tasks, freeing up researcher time.
• Enables rapid, reproducible, and scalable workflows for high content screening.

Improved Data Quality and Reproducibility Minimizes manual errors and ensures consistent results.

• Protocol-driven automation and AI-powered segmentation.
• Standardized workflows for regulatory and scientific rigor.

Enhanced Collaboration and Data Security Facilitates teamwork and protects sensitive research data.

• Centralized data management and secure sharing.
• Supports distributed teams and multi-site projects.

Accessible AI for All Experience Levels Empowers users without coding expertise.

• Intuitive interfaces and cloud-based model training.
• Flexible deployment options for diverse research environments.