Self-Supervised Classification of Subcellular Morphometric Phenotypes Reveals Extracellular Matrix-Specific Morphological Responses

Scientists developed a deep learning-based analysis pipeline for the classification of cell morphometric phenotypes from multi-channel fluorescence micrographs, termed SE-RNN.