Publications
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Vizardous: interactive analysis of microbial populations with single cell resolution. Bioinformatics. 2015.
. Stochastic simulation of biotechnical processes. Mathematics and Computers in Simulation 42 (2-3):17 [Internet]. 1996;42(2-3): 171–178. Available from: http://dx.doi.org/10.1016/0378-4754(95)00130-1
. Spatiotemporal microbial single-cell analysis using a high-throughput microfluidics cultivation platform. Cytometry A. 2015.
. Single-cell microfluidics: opportunity for bioprocess development. Curr Opin Biotechnol. 2014;29C:15-23.
. Polydimethylsiloxane (PDMS) Sub-Micron Traps for Single-Cell Analysis of Bacteria. Micromachines. 2013;4(4):357-369.
. Optical sensors for monitoring dynamic changes of intracellular metabolite levels in mammalian cells. Nat Protoc. 2011;6(11):1818-33.
. Microfluidic growth chambers with optical tweezers for full spatial single-cell control and analysis of evolving microbes. J Microbiol Methods. 2013;95(3):470-6.
. Live cell imaging of SOS and prophage dynamics in isogenic bacterial populations. Mol Microbiol. 2015.
. Image-Based Single Cell Profiling: High-Throughput Processing of Mother Machine Experiments. PLoS One. 2016;11(9):e0163453.
. A disposable picolitre bioreactor for cultivation and investigation of industrially relevant bacteria on the single cell level. Lab Chip. 2012;12(11):2060-8.
. Computational tools for isotopically instationary 13C labeling experiments under metabolic steady state conditions. Metab Eng. 2006;8(6):554-77.
. Beyond growth rate 0.6: What drives Corynebacterium glutamicum to higher growth rates in defined medium. Biotechnol Bioeng. 2014;111(2):359-71.
. Beyond growth rate 0.6: Corynebacterium glutamicum cultivated in highly diluted environments. Biotechnol Bioeng. 2012.
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