Dissection of the melanoma microenvironment via high-throughput multiple iterative labeling by antibody neodeposition (MILAN)
In this webinar, Prof. Francesca Bosisio and Asier Antoranz, assistant professor and post doc bioinformatician at University of Leuven, provide a practical example of what digital pathology can achieve, illustrating how high-dimensional single-cell multiplex analysis using multiple iterative labelling by antibody neodeposition (the MILAN technique) can characterize the immune landscape in primary melanoma.
Learning Objectives
- Understand the basic principles of the MILAN method
- Briefly explore the state-of-the-art technology available for spatial tissue multiplexing
- Discover a computational approach to multiplexed image analysis
About the presenter
Dr. Francesca Bosisio is a dermatopathologist and professor at UZ/KU Leuven. She participated in the development of the MILAN method in collaboration with the University of Milan-Bicocca.
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