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Cellular Biophysics

Prof. Andreas Bausch

Research Field

Understanding complex biomaterials on a fundamental physical basis is an integral challenge of future biophysical research. This challenge can be addressed by the concerted application of new experimental tools of soft condensed matter physics to living cells and bio-mimetic model systems. In our group we concentrate on the one hand on developing new physical tools to address the underlying complexity and mechanisms and on the other hand on developing new biomaterials for applications ranging from biomedicine to functional food.

Address/Contact

Ernst-Otto-Fischer-Straße 8/III
85748 Garching b. München
+49 89 289 12408
Fax: +49 89 289 14469

Members of the Research Group

Professor

Office

Scientists

Students

Other Staff

Teaching

Course with Participations of Group Members

Titel und Modulzuordnung
ArtSWSDozent(en)Termine
Biophysik
eLearning-Kurs
Zuordnung zu Modulen:
VO 4 Bausch, A. Zacharias, M.
Übung zu Biophysik
eLearning-Kurs
Zuordnung zu Modulen:
UE 2
Leitung/Koordination: Bausch, A.

Offers for Theses in the Group

Force sensor analysis by Fluroescence Lifte Time Imaging (FLIM)
The goal of this thesis is to establish a novel method to determine intracellular forces. Using fluroecently tagged proteins, Förster Energy transfer will be used to determine the changes of local strains within epethelial layers. Confocal microscopy and digital imaging processing and analysis will be employed to understand how mechanical forces lead to structure formation processes in organ- morphogenesis.
suitable as
  • Bachelor’s Thesis Physics
Supervisor: Andreas Bausch
KI and Machine Learning tools to analyze organogenesis.
Recent progress enabled to build organs in the cell culture. the so called organoids are promising model systems to understand not only the physical basis of organogenesis but also have the potential to revolutionize drug development efforts. The complexity of the structure forming process requires the deployment of machine learning tools. These are already ideally suited to recognize and classify the evolving structures, in the next step we aim to push the KI based methods further - to be able to predict the developmental phases. Within this thesis the KI methods will be developed and applied to high throughput microscopy data sets.
suitable as
  • Bachelor’s Thesis Physics
Supervisor: Andreas Bausch
Pattern formation in reconstituted systems
In a bottom up approach we aim to reconstructed functional modules mimicking processes found in living cells. in the Thesis pattern forming system will be combined with adhesions processes to approach the emergence of basic aspects of multicellular nature of tissues.
suitable as
  • Bachelor’s Thesis Physics
Supervisor: Andreas Bausch

Current and Finished Theses in the Group

Confocal Data Correction using Image Processing
Abschlussarbeit im Bachelorstudiengang Physik
Themensteller(in): Andreas Bausch
Lipid Phase Separation as a Tool For Integrinß1Tail-Kindlin2-TalinHd Interactions
Abschlussarbeit im Masterstudiengang Physik (Biophysik)
Themensteller(in): Andreas Bausch
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