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

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