Release Notes

Released: 2026-02-25

• Updated the image viewer to the latest Vue.js version, enhancing the overall security of the application as well as providing improved performance.
• Aligned the search behavior across all pages.

Released: 2026-02-05

• Access to the information panel from within the image viewer.

Released: 2026-01-15

• Added the possibility to open data in a new tab.
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• Improved the search functionality by changing the default behavior to global search, while allowing to restrict the search based on the current user location.
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• Support for viewing and analyzing images with .sis file format.
• Additionally, you can now upload .objects and .metadata files together with .sis and .czi files, which are then registered as one document in the arivis Hub DMS, for example for uploading annotations from arivis Pro to the arivis Hub DMS for a specific image.

Released: 2025-12-05

• Added the possibility to leave a directly shared project with the context menu.
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Released: 2025-11-13

• Addition of Back button for easier navigation through the application.
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• Show information in analysis run for missing images and pipelines.
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• Support for arivis Pro 4.4 pipelines.

Released: 2025-11-04

• Added native file format support for ndpi (Hamamatsu), DICOM & SVS (Aperio).
• Enabled search in image metadata and highlighting of search terms to find documents easily.
• Faster adding and editing of tags, including multi-selected documents.
• Voxel operations in pipeline are respected for analysis runs.
• Various usability improvements, e.g., direct link to analysis detail page in toast notification and live progress for analysis run.

Released: 2025-07-30

Database

• Store, organize, and access all data in one place, including images, results, pipelines and AI models.
• Hierarchical data structure for efficient organization.
• Quick access to data from anywhere via client/server architecture.
• Robust search functionality to locate and retrieve data easily.
• Extensive image viewer for in depth analysis.
• Automated data upload with watcher feature.
• Enable collaboration via user/group management capabilities.
• Sharing functionality between users and groups.
• Create groups with “viewer” capabilities only (students).
• Metadata display on project, folder and document level.

Analysis

• Scalable, parallelized batch analysis.
• Multi-dimensional viewing and analysis of (2D/3D/4D/+) data.
• Images and results management system.
• Use arivis Pro pipelines, including AI models.
• Local on-prem or cloud deployments.