Self-supervised Learning for Tumor Microenvironment Analysis: Addressing Label Scarcity in Multiplexed Immunofluorescence Imaging with Novel Feature Extraction Techniques

The study of tumor microenvironments (TMEs) and immune cell composition in cancer, a disease characterized by uncontrolled growth and spread of tumor cells, has become increasingly important for understanding tumor progression and patient outcomes. Tools such as the TME-Analyzer enable this kind of research, but their manual workflows highlight...

Fluorescence microscopy for Cdc42 quantification in Saccharomyces Cerevisiae

In budding yeast, a certain concentration of the GTPase Cdc42 is optimal for cell division. This optimal concentration depends on the phenotype and genetic background of the cells. Due to bet hedging, the Cdc42 concentration is different between cells in a population and it is expected that the concentration, measured for many cells, is gamma...