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🔬 Unlocking the Complexity of Cell Death with High-Dimensional Morphology Data Using the REM-I platform, we've captured the intricate and dynamic process of cell death through high-dimensional morphology data. REM-I’s discriminative resolution allows us to identify subtle morphological shifts in the very early and mid-phases of apoptosis. By leveraging deep learning and computer vision, the platform provides orthogonal biological insights that not only complement but often surpass what traditional cytotechnology and protein-based biomarkers can reveal. Check out the visualizations below: (A) Morphology UMAP: Generated by REM-I and colored by cluster using the Leiden algorithm, with representative images included. These morphotype clusters align with morphological changes as cells undergo apoptosis and necrosis. (B) UMAP Visualization: Colored by population density, this visualization demonstrates how different treatments result in varying morphological expressions. Representative images from each treatment condition are displayed below. #Morpholomics #DeepLearning #ComputerVision #CellBiology #Apoptosis #Morphology #Deepcell