Morphological classification of Schizochytrium and mutagenic selection of high-oil-producing strains based on deep learning

Key Points

• High-oil-producing strains were successfully selected using deep learning techniques, showing effective classification of schizochytrium morphology.
• The classification approach utilized deep learning, achieving accurate identification of various morphological forms within schizochytrium species.
• Mutagenic selection methods were applied, enhancing the yield of oil in selected schizochytrium strains across multiple iterations.
• These findings highlight the potential of using deep learning for improving strain selection in biotechnological applications.