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[Analysis Case] Cell Cycle Assessment from Bacterial Images

By using deep learning and data analysis, we can evaluate sample characteristics by utilizing large amounts of data.

We observed a sample mixed with three types of lactic acid bacteria using SEM, and extracted the bacteria by type using deep learning from the obtained images. Furthermore, we conducted data analysis to determine the presence ratio on the cell cycle based on the shape of the lactic acid bacteria. Measurement methods: SEM, computational science, AI, data analysis Product fields: Biotechnology, pharmaceuticals, daily necessities, cosmetics, food Analysis purpose: Shape evaluation, product investigation For more details, please download the materials or contact us.