AI-powered software allows deeper spatial insights from 3D images

Leica Microsystems, a leading provider of microscopy and scientific instrumentation, has released version 14 of Aivia, its flagship image analysis solution. This update introduces a suite of new features and enhancements for accurate deep-learning based cell segmentation, automated phenotyping and spatial data analysis in 3D multiplexed images. Researchers and scientists can visualize up to 15 channels in 3D multiplexed images simultaneously, providing a comprehensive view of complex biological processes.

Aivia’s improved deep learning model accelerates cell detection by up to 78%, resulting in faster and more accurate detection and partition of cells. This enhancement enables characterization of tissue microenvironments and different phenotypes based on the expression of multiple biomarkers such as disease state or cell type. With the software’s updated dendrogram and dimensionality reduction tools, users can interactively explore phenotypes and gain a deeper understanding of 3D multiplexed image data.

Aivia 14 is available through flexible licensing models that provide users with options to meet their specific lab requirements. Existing Aivia subscribers can access Aivia 14 as part of their subscription for a seamless transition to this update.

"Dealing with massive numbers of data points in complex biological images can be daunting for researchers. Aivia 14 automates this process by leveraging advanced AI algorithms, allowing scientists to seamlessly identify and analyze phenotypes without the need to train deep learning models or code. This not only accelerates their research but also uncovers insights that might have otherwise been missed," commented Won Yung Choi, Product Manager, Data & Analysis, Leica Microsystems.

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