The figure displays a cross-sectional view of an intestinal gut organoid captured at 20X magnification on ZEISS Celldiscoverer 7 and segmented using ZEISS arivis Pro.
ZEISS has released the latest version (4.2) of its arivis Pro image analysis software. The new update aims to provide users with greater flexibility and power to tailor microscopy image analysis to their specific needs. Version 4.2 includes innovations in AI-powered tools, 3D analysis capabilities, and the handling of large datasets.
“Our goal with arivis Pro 4.2 is to put the power of customisation directly into the user’s hands,” says Dr Sreenivas Bhattiprolu, Head of Digital Solutions at ZEISS. “Whether working with small datasets or incredibly large 3D volumes, researchers can now leverage the most appropriate tools for their specific analysis requirements.”
Additionally, the new update also incorporates instance segmentation models powered by deep learning. Said models are trained using ZEISS arivis Cloud and can accurately segment individual objects within images, utilising AI.
“In microscopy, no two datasets are alike,” explains Dr. Bhattiprolu. “Some demand traditional segmentation methods, while others benefit from AI-driven approaches. With arivis Pro 4.2, we empower researchers to choose the ideal techniques for each unique scenario.”
Version 4.2 also delivers on meeting industry needs for 3D imaging methods. The user can now load, visualise, and extract insights from large 3D datasets.