Leica Microsystems
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 visualise up to 15 channels in 3D multiplexed images simultaneously, providing a comprehensive view of complex biological processes.
“This major new version of Aivia is particularly well suited to contribute to drug development and will catalyse advances in cancer research, immunology and personalised medicine,” says Luciano Lucas, Director Data & Analysis at Leica Microsystems. “Aivia 14 enables users to systematically segment, phenotype and explore heterogeneities in healthy and pathological tissue microenvironments, and this will play a crucial role in determining treatment outcomes.”
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"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 analyse 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," adds Won Yung Choi, Product Manager, Data & Analysis at Leica Microsystems.
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 characterisation 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.
