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Man working on microscopy image analysis looking at two screens and using ZEISS arivis Hub DMS to analyse his image
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Centralized Data Management and Scalable Image Analysis

With ZEISS arivis Hub DMS
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Software screens showcasing diverse samples and applications for microscopy image analysis

Built to Handle the Large Scale of Microscopy Research Data

Find out how ZEISS arivis Hub DMS works for you

ZEISS arivis Hub DMS revolutionizes the way you analyze your microscopy data. It’s easy to set up your large scale image analysis, and to accelerate time to relliable results.

  • Efficient processing for large-scale image analysis experiments.
  • Automated, scalable and AI-powered image analysis.
  • Secure user management, permissions management and project sharing.
  • Access to all data in one place for storing, organizing, and sharing.
  • Designed for use with image formats from many leading microscopes, regardless of file size.
  • Suitable for diverse applications, including biotech & pharma, cell biology. neuroscience, oncology, immune desease research, material sciences, geology and more.
  • Simple installation: on the cloud or on-premises.

The Benefits of Automated, Scaled Image Analysis

Discover how parallelized image analysis can accelerate your research

  • Flexible Image Handling & Analysis

    Designed to handle large datasets in many file formats; whether you're in the lab or working remotely, ZEISS arivis Hub DMS enables multiple users to efficiently store, analyze, and review images and results with high speed.

  • Diverse Applications

    Whether it's the analysis of 2D sub-structures, volumes of 3D objects, 4D time-lapse image series or batch analysis - ZEISS arivis Hub DMS offers a versatile interface eliminating the need to code. The solution is suitable for many applications in life and material sciences.

  • Easy to Use

    ZEISS arivis Hub DMS provides a user-friendly interface, so that everyone can get to results quickly. Our team of experts supports you in every step - from installation to the complete workflow automation.

Learn More about the Data Management Functionality

In ZEISS arivis Hub DMS

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Illustration showing the flow of data with ZEISS arivis Hub DMS

Centralized Data Management

ZEISS arivis Hub DMS provides a central, scalable solution for managing your imaging data and workflows, including images, results, pipelines, and AI models.

  • Store, organize, and access all data in one place.
  • Organize your data efficiently with hierarchical data structure.
  • Access your data quickly from anywhere via client/server architecture.
  • Locate and retrieve data easily using the robust search functionality.
  • Dive deep into your image analysis and results with the extensive image viewer.
  • Upload your datasets automatically with upload with watcher feature.
  • Apply metadata and tagging already during upload.
  • Enable collaboration via user/group permission management, project sharing and controlled access.
Data flow illustration for batch image analysis with ZEISS arivis Hub

AI-powered Flexible Image Analysis at Scale

Tailor your image analysis pipelines with ZEISS arivis Pro. Use ZEISS arivis Cloud to customize AI models for image segmentation tasks. Unlock seamless data management and storage with our centralized DMS solution for automated and scaled image analysis using ZEISS arivis Hub. It's the power of customization, AI, and scalability, all seamlessly integrated within the ZEISS arivis platform.

Illustration showing the flow of images via the ZEISS software solutions

Explore Scalable Image Analysis Benefits

Read our Article

Modern microscopy research calls for the analysis of large quantities of data and detection is expected at the minutest levels. Advanced image analysis and secure data management are crucial to success. Automation and scaling are the key to enabling the ever-increasing requirements. Explore our user story to learn how data handling can be transformed.

Read More

Our Team of Experts Would Love to Help You with Your Large Scale Image Analysis

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