Overview

From optics to objects; discover more with ZEISS AI-enhanced microscopy for organoid research. ZEISS enables transition from 2D to high-content 3D cell models in basic and drug discovery research, with automated high-end microscopy and AI-augmented image analysis though the ZEISS arivis suite

Introduction

Analysing complex multi-dimensional of images to uncover crucial details can be a daunting task amidst vast datasets. The challenge is not to miss that one detail you need. Without the appropriate It infrastructure in place, data management can quickly become highly complex and ever increasing image heterogeneity, complexity and data sizes easily result in image analysis bottlenecks

Methods

ZEISS arivis Image analysis tools can help: ZEISS arivis Cloud for Deep Learning ZEISS arivis Pro for advanced image analysis pipelines and ZEISS arivis Hub for powerful, server-based, high-content image analysis from any source and regardless of its size, supporting both on-prem and cloud servers (Azure, AWS, Google) and browser-based access.

Results

With optimized resource allocation, you maximize computing potential while minimizing inefficiencies like wasted space, energy consumption, and devaluation. ZEISS arivis software streamlines image analysis, while simplifying data submission and intelligently pools computational resources.

Conclusion

Maximize your research potential with ZEISS' vendor agnostic image analysis solutions, capable of supporting virtually unlimited data sizes with local or server-based processing options; designed for next generation organoid research at scale