More time for research: ZEISS supports businesses and researchers with ZEISS arivis Cloud based on Microsoft Azure
When one of the world's leading optical solutions companies needed to streamline digital analysis of microscopy images, they turned to a solution built on Microsoft Azure. Read this illuminating customer story showing why ZEISS chose Azure as the platform to build its ZEISS arivis Cloud upon, and how it's being used in critical applications such as bioscience.
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What is ZEISS arivis Cloud?
The ZEISS arivis Cloud is a platform designed to streamline the digital analysis of microscopy images. Built on Microsoft Azure, it provides deep learning training tools for automating image segmentation, allowing researchers and businesses to save time and produce replicable results without the need for extensive coding.
How does image segmentation work in ZEISS arivis Cloud?
In the ZEISS arivis Cloud, researchers upload a series of training images and annotate regions of interest. A pretrained model is then used to segment these regions across all images. This iterative process allows researchers to refine the model's accuracy, making it easier to analyze complex microscopic structures efficiently.
What are the advantages of using ZEISS arivis Cloud for deep learning?
The ZEISS arivis Cloud significantly reduces the time required to train deep learning models, from an entire night to about the duration of a lunch break. Additionally, it eliminates the need for local software installation, allowing researchers to access powerful computing resources on-demand, facilitating global collaboration and transparency in the model training process.
More time for research: ZEISS supports businesses and researchers with ZEISS arivis Cloud based on Microsoft Azure
published by Troinet
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