TU Dresden Data Publications
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Data publications from research of Dresden University of Technology.
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Browsing TU Dresden Data Publications by Subject "4::43::406::406-02"
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- ItemOpen AccessOC_Identifier - Programm to use OC trained AI for the assessment of their state of maturation(Technische Universität Dresden, 2025-03-11) Lv, Guofan; Kruppke, BenjaminThis 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.
- ItemOpen AccessUntersuchung der Quellung von Gelatine in Lösungen für Mineralisationsexperimente(Technische Universität Dresden, 2025-01-17) Kruppke, BenjaminDie für die Doppelmigration verwendete Gelatine wird unterschiedlichen Bedingungen bezüglich des pH-Wertes und der Ionenkonzentrationen (Kat- und Anionen) der Mineralisationslösungen ausgesetzt. Um das Quellverhalten und die Veränderung der Gelatine bezüglich ihrer haptischen Festigkeit zu analysieren wurden Versuche mit Gelatinequadern vorgenommen, die die jeweilige Quellung und die Elastizität der Gelatineproben beschreibt.