The Tumor Microenvironment (TME) is a highly complex niche, with many different cell types characterized by a range of biomarkers. Clever staining protocols like Cycle Immunofluorescence, and advanced imaging techniques such as Imaging Mass Cytometry can be used to probe these and other microenvironments in high detail. Although these techniques can acquire data in 30-100 channels, the analysis of these high-plex datasets still represents a considerable challenge.
During this presentation, Technical Specialist Dave Mason, will introduce the Visiopharm approach for the easy-to-use, automated, unbiased classification of high-plex data.
1. The types of data you might encounter
2. Using machine learning and AI Deep Learning for robust cell detection - Easy multiplexing with the click of a button
3. Built-in plotting tools for exploratory analysis