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PublicationPolarized Light Imaging in Life Sciences( 2023-08-09)
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PublicationTransformative Materials to Create 3D Functional Human Tissue Models In Vitro in a Reproducible Manner( 2023)Recreating human tissues and organs in the petri dish to establish models as tools in biomedical sciences has gained momentum. These models can provide insight into mechanisms of human physiology, disease onset, and progression, and improve drug target validation, as well as the development of new medical therapeutics. Transformative materials play an important role in this evolution, as they can be programmed to direct cell behavior and fate by controlling the activity of bioactive molecules and material properties. Using nature as an inspiration, scientists are creating materials that incorporate specific biological processes observed during human organogenesis and tissue regeneration. This article presents the reader with state-of-the-art developments in the field of in vitro tissue engineering and the challenges related to the design, production, and translation of these transformative materials. Advances regarding (stem) cell sources, expansion, and differentiation, and how novel responsive materials, automated and large-scale fabrication processes, culture conditions, in situ monitoring systems, and computer simulations are required to create functional human tissue models that are relevant and efficient for drug discovery, are described. This paper illustrates how these different technologies need to converge to generate in vitro life-like human tissue models that provide a platform to answer health-based scientific questions.
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PublicationToward Rapid, Widely Available Autologous CAR-T Cell Therapy - Artificial Intelligence and Automation Enabling the Smart Manufacturing Hospital( 2022-06-06)
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PublicationProcess Development and Manufacturing: TOWARDS AUTOMATED CAR-T CELL MANUFACTURING - KEEPING UP WITH TECHNOLOGICAL ADVANCEMENT( 2022-04-25)
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PublicationSchneller als ein Wimpernschlag( 2022)
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PublicationTowards monitoring of a cricket production using instance segmentation( 2022)A growing world population requires sufficient food to sustain itself. Therefore, increasingly more resources are required to produce the food. Insects are a viable food and feed alternative since their production requires only a fraction of the resources that conventional livestock needs. For the efficient production of insects, automation technology is needed. An automatic monitoring of the insects’ growth ensures stable production processes and a high product quality. The use of a camera with image processing using neural networks makes it possible to detect insects, measure their features such as shape and colour and enables to derive their age, size, and health. In this paper, instance segmentation using mask scoring regional convolutional neural network (Mask Scoring R-CNN) shows good results in detecting house crickets (Acheta domesticus). A dataset is created consisting of six images, showing 1,022 insect instances, of a real-world cricket production facility to train and test the algorithm. Furthermore, image augmentation by cropping, flipping and rotating is applied to the set to solve the problem of limited data. By combining the augmentations, 288 different trainings are compared to find the best augmentation strategy. The evaluation of the algorithm uses two variations of the F1-score: one variation to estimate the capabilities of producing qualitative segmentation masks and another to estimate the detection capabilities. For the estimation of the detection capabilities, a rule termed ‘centre over ground truth’ is developed. The results show that the presented method is suitable for monitoring a cricket production facility with a recall of 76.6% and a precision of 96.2%.
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PublicationImplementation of an Automated Manufacturing Platform for Engineering of Functional Osteochondral Implants( 2022)
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PublicationReine Magnetschwebetechnik( 2022)
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PublicationTechno-Economic Analysis of Automated iPSC Production( 2021-01-28)Induced pluripotent stem cells (iPSC) open up the unique perspective of manufacturing cell products for drug development and regenerative medicine in tissue-, disease- and patient-specific forms. iPSC can be multiplied almost without restriction and differentiated into cell types of all organs. The basis for clinical use of iPSC is a high number of cells (approximately 7 × 107 cells per treatment), which must be produced cost-effectively while maintaining reproducible and high quality. Compared to manual cell production, the automation of cell production offers a unique chance of reliable reproducibility of cells in addition to cost reduction and increased throughput. StemCellFactory is a prototype for a fully automated production of iPSC. However, in addition to the already tested functionality of the system, it must be shown that this automation brings necessary economic advantages. This paper presents that fully automated stem cell production offers economic advantages in addition to increased throughput and better quality. First, biological and technological basics for a fully automated production of iPSC are presented. Second, the basics for profitability calculation are presented. Third, profitability of both manual and automated production are calculated. Finally, different scenarios effecting the profitability of manual and automated production are compared.
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PublicationHigh-Speed-Mikroskopie - Mikroskopieren in Bewegung( 2021)
