five

OC_Identifier - Programm to use OC trained AI for the assessment of their state of maturation

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DataCite Commons2025-07-22 更新2025-04-16 收录
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https://opara.zih.tu-dresden.de/items/d4c310ae-f88c-47de-8851-90fda0fad8ac
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This programm is part of the project, that has successfully trained an AI that can classify and calculate four cell types. This AI is practical and has a bright future in terms of cell identification. YOLOv5m was used for this AI training. With a better computer configuration, YOLOv5x can be used for training to obtain an even better AI model. Ultralytics is the software company that developed YOLOv5. It released the latest YOLO series version, YOLOv8, in January 2023. This new framework can lead to better training results. In addition to known improvement methods, AI technology has greater prospects. YOLOv5 can be combined with other AI frameworks to predict cell growth trends. AI can also make suggestions about cell culture conditions (temperature, media, frequency of media exchange, etc.) based on growth trends. The AI framework can also be combined with other devices, for example, to control robotic arms and microscopes to automatically complete image acquisition. With the help of this AI, laboratory staff can be freed from the tedious task of counting cells and do much more.
提供机构:
Technische Universität Dresden
创建时间:
2025-03-11
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