Cornelia Pfister
Technische Universität München
6 Papers
37 Citations
Cornelia Pfister is an academic researcher from Technische Universität München. The author has contributed to research in topics: Diffusion (business) & Data processing. The author has an hindex of 4, co-authored 6 publications.
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Papers
Automated platform for sensor-based monitoring and controlled assays of living cells and tissues
P Wolf,Martin Brischwein,R. Kleinhans,Franz Demmel,T. Schwarzenberger,Cornelia Pfister,Bernhard Wolf +6 more
TL;DR: A novel measuring platform was developed, which combines automated assay processing with label-free high-content measuring and real-time monitoring of multiple metabolic and morphologic parameters of living cells or tissues, and overcomes problems of endpoint tests.
26
Data Processing in Cellular Microphysiometry
TL;DR: The information about cellular metabolic activity contained by measured sensor data dynamics is superimposed by manifold sources of error and careful consideration of data processing is necessary to eliminate these errors as much as possible and to avoid an incorrect interpretation of data.
7
Nutrient depletion and metabolic profiles in breast carcinoma cell lines measured with a label-free platform.
TL;DR: It is assumed that residual concentrations of nutrients from the serum component are able to maintain cell viability when delivered regularly by active flow like in the cell assay platform, and, in a similar way, under physiological conditions.
7
Reaction–diffusion modelling for microphysiometry on cellular specimens
D. Grundl,Xiaorui Zhang,Safa Messaoud,Cornelia Pfister,Franz Demmel,Mario S. Mommer,Bernhard Wolf,Martin Brischwein +7 more
TL;DR: The model is applicable to any setting of (bio-) sensors involving reaction and diffusion of dissolved gases and particularly H+ ions in buffered solutions and reveals significant deviations of measured pH and O2, and values of these parameters actually occurring at different sites of the cell culture volume.
5
Cell shape-dependent shear stress on adherent cells in a micro-physiologic system as revealed by FEM.
TL;DR: The results indicate that threshold stress values for continuous flow conditions cannot be transferred to quasi static flow conditions interrupted by short fluid exchange events, and the cell shape strongly influences the resulting shear stress.