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The potential in treating chronic and life-threatening diseases by stem cell therapies can greatly be exploited via the efficient automation of stem cell production. Working with living material though poses severe challenges to automation. Recently, production platforms has been developed and tested worldwide with the aim to increase the reproducibility, quality and throughput of the process, to minimize human errors, and to reduce costs of production. A distinctive feature of this domain is the symbiotic co-existence and co-evolution of the technical, information and communication, as well as biological ingredients in production structures. A challenging way to overcome the issues of automated production is the use of biologically inspired control algorithms. In the paper an approach is described which combines digital, agent-based simulation and reinforcement learning for this purpose. The modelling of the cell growth behaviour, which is an important prerequisite of the simulation, is also introduced, together with an appropriate model fitting procedure. The applicability of the proposed approach is demonstrated by the results of a comprehensive investigation.

Bei Tumorresektion im Kopf-Hals-Bereich ist es geboten, eine R0-Resektion mittels Schnellschnitten zu sichern. Die optische Kohärenz-Tomographie (OCT) ist ein Bildgebungsverfahren, das intraoperative, nicht invasive und kontaktlose Untersuchungen von Gewebe mit einer hohen Auflösung ermöglicht.

To detect changes in forest ecosystems at the European scale samplings and measurements in the field and in the laboratories have to be done in some homogeneous way over decades and across countries. In many of the surveys of the ICP Forests program samples are taken and analysed in laboratories: -measurement of atmospheric deposition -measurement of soil solution -measurement of changes in soil and humus layers -measurement of tree nutrition Therefore the evaluation and improvement of the quality in laboratories area key issue. This presentation will show the structure and development of the quality control program for laboratories as an example for the quality assurance within the ICP Forests program.