Skip to main content

Dissection of the melanoma microenvironment via high-throughput multiple iterative labeling by antibody neodeposition (MILAN)

Prof Dr. Francesca Bosisio Assistant Professor, University of Leuven (KU Leuven), Department of Imaging & Pathology, Translational Cell & Tissue Research
Asier Antoranz Post Doc Bioinformatician, University of Leuven (KU Leuven), Department of Imaging & Pathology, Translational Cell & Tissue Research

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

Prof Dr. Francesca Bosisio , Assistant Professor, University of Leuven (KU Leuven), Department of Imaging & Pathology, Translational Cell & Tissue Research

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.

Asier Antoranz , Post Doc Bioinformatician, University of Leuven (KU Leuven), Department of Imaging & Pathology, Translational Cell & Tissue Research

Leica Biosystems content is subject to the Leica Biosystems website terms of use, available at: Legal Notice. The content, including webinars, training presentations and related materials is intended to provide general information regarding particular subjects of interest to health care professionals and is not intended to be, and should not be construed as, medical, regulatory or legal advice. The views and opinions expressed in any third-party content reflect the personal views and opinions of the speaker(s)/author(s) and do not necessarily represent or reflect the views or opinions of Leica Biosystems, its employees or agents. Any links contained in the content which provides access to third party resources or content is provided for convenience only.

For the use of any product, the applicable product documentation, including information guides, inserts and operation manuals should be consulted.

Copyright © 2024 Leica Biosystems division of Leica Microsystems, Inc. and its Leica Biosystems affiliates. All rights reserved. LEICA and the Leica Logo are registered trademarks of Leica Microsystems IR GmbH.