Development of a Deep Learning-Based Quantitative Multiplexing Staining Technology for Tissue Cytometry
Theme 3: Tissue Engineering A/Prof. Jyostna Batra This project aims to establish a complete workflow for staining and analysing tissue sections with a novel quantitative multiplexing technology in which a molecular linker allows to reversibly bind a well-defined number of fluorochrome particles to any single antibody molecule and provide machine learning-based image cytometry including automated …