Machine Learning-Based Morphological Quantification of Replicative Senescence in Human Fibroblasts

Scientists present the results of a readily accessible machine learning-based pipeline that used standard fluorescence microscope and open access software to quantify the minute morphological changes that human fibroblasts undergo during their replicative lifespan in culture.