Elevate Your Research with Spatial Insights

Generating Insights into tissue microenvironments is crucial to our understanding of normal and abnormal tissue development such as during cancer progression. Spatial biology methods using microscopy and multiplexing techniques have allowed researchers to bring together protein expression profile and spatial information to dive into the complex biology needed for these insights. However, image analysis of these datasets especially with high number of protein markers and/or large number of cells remains a challenge. Excitingly, Artificial Intelligence (AI) image analysis has significantly progressed through innovations in deep learning, segmentation, and detection, making it a powerful tool for researchers. In the latest release of Aivia image analysis software, we are introducing features including AI tools to help you tackle this challenge in your large 2D multiplexed image datasets.

 

Join us in this webinar to learn more about how the convergence of technology and scientific discovery can revolutionize our understanding of biology and disease.

 

Learning Objectives