Latest AI software simplifies image analysis and speeds up insights for scientists

The Aivia 15 release includes deep learning-powered tools for 2D and 3D cell segmentation.

Leica Microsystems, a leading provider of microscopy and scientific instrumentation, has released the latest version of its AI-driven image analysis software. Aivia 15 empowers scientists to set up quickly, deploy intuitive AI-powered analysis for accurate detection, and then easily batch process their analyses.

Usability is at the heart of the latest version of Aivia, with new tools such as Segment by Example, which enables users to paint directly on 2D or 3D sample cells to deploy an AI model modified from Cellpose[1]. This deep learning engine delivers accurate segmentation across varying cellular morphologies using only a few examples, allowing any scientist to access rapid insights without needing to code or train their own models.

With the new Aivia Launchpad, users are guided through analysis setup using an intuitive interface featuring pre-built Guided Sequences and embedded tutorials. Aivia then automatically recommends relevant workflows based on user goals and image dimensions, while the Flexible Chevrons feature enables intuitive customization, saving, and sharing of workflows.

"Aivia 15 represents a major step forward in accessibility and performance for AI-powered microscopy analysis, democratizing AI to empower scientists to transform images into insights effortlessly, without deep learning expertise or coding skills," said Won Yung Choi, Product Manager, Data & Analysis at Leica Microsystems.

Tailored for researchers in neuroscience, cell biology, spatial biology applications and a wide range of other disciplines, Aivia 15 now allows scientists to focus even more on the quantitative insights gained from their data.

Performance has also taken a major leap forward. Enhanced 3D processing delivers results up to 69% faster[1], streamlining even the most demanding volumetric analysis tasks. The new Workflow Creator simplifies batching setup for segmentation, classification, and spatial relations analysis – and the updated Spatial Relations tool allows for advanced object-based spatial insights, including colocalization and nearest neighbor metrics.

Further expanding active collaboration with the scientific open-source community, Aivia 15 adds drag-and-drop support for 22 new Bioimage.io models, bringing the total to 26 pre-converted Bio Zoo models ready to use within Aivia’s recipe console.

This article by one of our Danaher Life Sciences thought leaders was originally published in The Scientist . Shared here by permission.