By Christoph Wittmann, Rainer Krull
-Morphology of Filamentous Fungi: Linking mobile Biology to method Engineering utilizing Aspergillus niger, via Rainer Krull, Christiana Cordes, Harald Horn, Ingo Kampen, Arno Kwade, Thomas R. Neu, and Bernd Nörtemann; -Multi-Scale Spatio-Temporal Modeling: Lifelines of Microorganisms in Bioreactors and monitoring Molecules in Cells, through Alexei Lapin, Michael Klann, and Matthias Reuss; -Impact of Profiling applied sciences within the knowing of Recombinant Protein creation, through Chandran Vijayendran and Erwin Flaschel -Engineering the Escherichia coli Fermentative Metabolism, via M. Orencio-Trejo, J. Utrilla, M.T. Fern� ndez-Sandoval, G. Huerta-Beristain, G. Gosset, and A. Martinez; -Modeling Languages for Biochemical community Simulation: response vs Equation dependent methods, by way of Wolfgang Wiechert, Stephan Noack, and Atya Elsheikh; -Impact of Thermodynamic ideas in platforms Biology, by way of J.J. Heijnen;
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Additional info for Biosystems Engineering II: Linking Cellular Networks and Bioprocesses
The method allows the population behavior to be described at the outcome of the interaction between the intracellular state of its individual cells and the turbulent flow field in the bioreactor. The chosen Euler-Lagrange representation of the cell-ensemble approach permits analysis of the lifelines of individual cells in space and time. The approach presented integrates CFD with a segregated description of a cell population in a stirred tank thereby accounting for a detailed intracellular structure of the single cells.
For adequate representation of the simulation results, a visualization framework has been implemented . It allows an interactive exploration of the data from the simulation. Two visualization styles have been developed (see Fig. 7): a microscopic and a more schematic representation. A virtual microscope creates images, which look like the results from a confocal fluorescence microscope. With this representation the simulation can easily be compared with microscope images from experiments. The schematic visualization is more abstract and visualizes all 40 A.
38 4 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 1 Introduction Biochemical engineers are concerned with biosystems and bioprocesses. Traditionally a key focus of their activities has been the mathematical modeling in both territories.
Biosystems Engineering II: Linking Cellular Networks and Bioprocesses by Christoph Wittmann, Rainer Krull