ZEISS arivis Cloud

Are you wasting valuable time on manual image processing? Are you struggling with complex, multidimensional images that lead to inconsistent results? Deep Learning harnesses automation for challenging steps within your image analysis pipelines that cannot be automated with traditional methods (e.g., manual segmentation & simplistic machine learning algorithms).

The user-friendly interface in ZEISS arivis Cloud makes it easy to train your own Deep Learning models for image segmentation, without the need for coding. Anyone in your lab can quickly train AI models without depending on an image specialist. The models can be exported and then easily integrated within automated image analysis pipelines in ZEISS software products such as ZEN, ZEN core and ZEISS arivis Pro.

ZEISS arivis Cloud allows you to make the most of independent computation resources. It also incorporates a sharing functionality that allows for seamless collaborative annotation of regions of interest and viewing analysis results across your team/organization.

Improved segmentation accuracy with AI for image analysis opens doors for diverse downstream applications, not possible with traditional segmentation methods. AI puts analysis customization at the forefront.

ZEISS arivis Cloud offers two types of segmentation models: Semantic (pixel based) segmentation and Instance (object-based) segmentation. You can select the type of segmentation model appropriate for your task at the beginning of the AI model training.

• Semantic (pixel-based) segmentation models to identify the area covered by your structures of interest.
• Instance (object-based) segmentation models to identify and outline objects individually even when they are touching.