Dr. Christoph Riethmüller

Rostockweg 25

48147 Münster



Serend-IP has more than a decade of experience in quantification of cell surface topography on the nanoscale. On top of (bio-)physical expertise on state-of-the art analytical techniques (AFM, nanomechnical mapping, electrical cell impedance spectroscopy, TIRF, FRET and 4Pi-fluorescence imaging etc.), a broad knowledge of physiologically relevant in-vitro testing methods is present (Cell migration, Invasion / Transmigration Assays, biochemical toxicity assays etc.). Special expertise has been gained on cell cultivation protocols for a large range of epithelial and endothelial models. The computer vision algorithms and neuronal networks necessary for the nAnostic-assays have been developed in house and it is the first and only available solution for biological AFM-images; this is the key competence of partner 2 (Serend-ip GmbH). Dr. Riethmüller has successfully participated in national (IMF) and coordinated international research cooperation projects (BMBF).

CEO Dr. Christoph Riethmueller has developed the nAnostic™ method for nanoscale phenotyping of cells. The start-up company Serend-ip GmbH is a spin-off from the institute of physiology at the University of Muenster which offers nAnostic-services to researchers in pharmacology and related disciplines. Since the proprietary pattern recognition software in early 2011 has reached a satisfying level of performance, the method is being validated in various biological contexts and cell models. This is performed in close collaboration with partners from universities and clinics in Germany and Western Europe. Serend-ip offers highly specialised expertise in Bio-AFM, pattern recognition software skills and suitable physiological models. Dr Riethmuellers research is in the field of cellular mechanics of inflammation with a focus on leukocyte transmigration through endothelial cell layers, and in the field of mechanisms of cellular invasion. Serend-ip GmbH owns
the brandname nAnostic™ (Registered Trademark) and has filed two international patent applications on the process of data extraction from nanoscale cell topographies (WO 2010: PCT/EP2010/057458, PCT/EP2010/068347). The investigation of nanoscale cell topography with AFM is a fairly young discipline (<20 years). A quantification of defined structural elements at the attoliter level (10-18l) using computer vision has been made possible by a proprietary software solution not before last year (Serend-ip). This label free method on data below the optical resolution limits is termed nAnostic™.


Figure 1: nAnostic-procedure a) the nanoscale topography of the cell sample is recorded via atomic force microscopy (AFM). b) Computer vision segregates relevant objects (green), c) Object map for morphometry and d) detailed results are extracted, here only object count and local volume sum are displayed as histograms. For diagnosis, 10 arbitrarily chosen areas per sample are analysed and morphometrical data are averaged.
Figure 2: Morphometric quantitation of ECM degradation. a) the nanoscale topography of extracellular matix (ECM, green) as imaged via atomic force microscopy (AFM). A sketch (upper) demonstrates the imaging of a fluorescently labelled ECM (fluorescence image, lower). The degradation of the fluorescently labelled ECM is recognised as dark areas b) AFM-Imaging of a tumor cell on an a degradable extracellular Matrix (original image (lower panel) and schematic representation (upper). The total volume (AFM) of degraded ECM can be exactly calculated by nAnostic-Algorithms. Pictures taken from: Kusick et al. Jornal of Cellular Physiology 204: 767-774 (2005)