Cell Identity

Cell identity, encompassing a cell's type, function, and lineage, is crucial for understanding biological processes and disease. Current research focuses on automating cell identification using advanced image analysis techniques, including deep learning models like neural networks and random forests, and leveraging multi-modal data such as transcriptomics and histology images to improve accuracy and interpretability. These advancements are significantly accelerating biological research by enabling high-throughput, unbiased cell classification and the generation of detailed cellular maps, ultimately impacting fields like neuroscience, oncology, and developmental biology.