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.
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For more details, please download the materials or contact us.
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Analysis of biotechnology, pharmaceuticals, cosmetics, and daily necessities.
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Download All Catalogs![[Analysis Case] Cell Cycle Assessment from Bacterial Images_C0689](https://image.mono.ipros.com/public/catalog/image/01/cb7/695217/IPROS38391591719086610723.jpeg?w=120&h=170)
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MST is a foundation that provides contract analysis services. We possess various analytical instruments such as TEM, SIMS, and XRD to meet your analysis needs. Our knowledgeable sales representatives will propose appropriate analysis plans. We are also available for consultations at your company, of course. We have obtained ISO 9001 and ISO 27001 certifications. Please feel free to consult us for product development, identifying causes of defects, and patent investigations! MST will guide you to solutions for your "troubles"!
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