The BMTC is a unit of the Medical Faculty of Muenster and offers latest technologies in the fields of cell biology, biological research, nanotechnology, biophotonics and the development of innovative technologies for biomedical diagnostics.


Focal areas:

·     label-free Bio-Imaging  &  Photonics

·     Nanotoxikologie

·     Digital Image Analysis / Diagnostics

·     Nano-structured materials

·     Industrial Contract research

·     Technology Transfer

·     Evalution-Service


In research and development projects, both with medical as well as

industrial partners, we work in interdisciplinary teams consisting of:

biologists, physicians chemists, physicists and engineers. This enables us to find result-oriented solutions promptly and efficiently. The BMTC is closely linked to the University Hospital and the natural science units of the University of Muenster, as well as with other national and international research institutions.

Since its foundation in 2011, numerous projects (BMBF, EU, NRW, GIF) and industrial cooperations have been successfully carried out.


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Latest  Publications

S. Rao, M. Jensen, L, Grüner-Nielsen, J. T. Olsen, P. Heiduschka, B. Kemper, J. Schnekenburger, M. Glud, M. Mogensen, N. Møller Israelsen, O. Bangm, "Shot-noise limited, supercontinuum-based optical coherence tomography", Light Sci. Appl. 10, 133 (2021). DOI: 10.1038/s41377-021-00574-x

B. Kemper, Á. Barroso, K. Eder, A. Marzi, S. Ritz, A. Ntovas, J. Schnekenbürger, S. Ketelhut, "Enhanced quantitative phase imaging in Mach-Zehnder interferometer-based digital holographic microscopy by modulation of the object illumination with an electrically focus tunable lens," Proc. SPIE 11786, 117860I (2021) https://doi.org/10.1117/12.2592534

R. Rose, B Kemper, A. Schwab, E. Schlatter, B. Edemir, "Unexpected localization of AQP3 and AQP4 induced by migration of primary cultured IMCD cells", Sci. Rep. 11, 11930 (2021) DOI: 10.1038/s41598-021-91369-y

Kai Eder, Tobias Kutscher, Anne Marzi, Álvaro Barroso, Jürgen Schnekenburger, Björn Kemper  “Automated detection of macrophages in quantitative phase images by deep learning using a Mask Regional Convolutional Neural Network", Proc. of SPIE Vol. 11655, Label-free Biomedical Imaging and Sensing (LBIS), 116551K, conference-proceedings-of spie on 5 march 2021
doi.org/10.1117/12.2577232; PDF

Ritz, S., Hahn, D., Wami, H.T., Tegelkamp, K., Dobrindt, U., Schnekenburger, J. “Gut microbiome as a response marker for pancreatic enzyme replacement therapy in a porcine model of exocrine pancreas insufficiency.” Microb Cell Fact 19, 221 (2020).DOI: 10.1186/s12934-020-01482-2