Zeiss recently announced that it has launched its Zeiss Zen Intellesis machine learning capability that allows researchers to perform an advanced analysis of imaging samples across multiple microscopy methods.
“Zeiss Zen Intellesis is an important first step in our goal to rapidly bring new solutions to our customers through digitalization. By adding robust new capabilities like machine learning to our microscopy systems, we are initiating a step-change in the way our customers in industry and academia manage and process vast amounts of imaging data generated by a range of imaging modalities,” Markus Weber, co-CEO of Zeiss Microscopy, said. “This enables them to easily and intelligently obtain scalable, quantitative insight.”
The new machine learning capability enables users to train machine learning classifications on Zeiss image data sets and on images that are readable by Zeiss Zen software. It uses trained a classifier across large, multi-dimensional datasets while allowing for multiple spatially-registered datasets that have been received through correlative microscopy and classical image analysis to be used in classification. Zeiss Zen Intellesis can also be used with 6D datasets like multichannel 3D stacks or tile images, according to the company.
Zeiss Zen Intellesis works with any image format that can be read by Zeiss Zen software. These formats include CZI, TXM, OME-TIFF, JPG and PNG. It is also data-agnostic and can be used with other software platforms that Zeiss offers and any other 3D analytical tools.
Zeiss is currently developing applications for the life sciences, materials sciences, manufacturing and assembly and routine laboratory microscopy industries.
