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Prof. Dr. rer. nat. Andreas Bausch

Photo von Prof. Dr. Andreas Bausch.
Phone
+49 89 289-12480
Room
CPA: 03.010
E-Mail
abausch@mytum.de
Links
Homepage
Page in TUMonline
Group
Cellular Biophysics
Job Title
Professorship on Cellular Biophysics
Additional Info
Lehrstuhlinhaber
Consultation Hour
on appointment

Courses and Dates

Title and Module Assignment
ArtSWSLecturer(s)Dates
Experimental Physics 2 for Chemists
eLearning course
Assigned to modules:
VO 2 Bausch, A. Tue, 10:00–12:00, virtuell
Exercise to Experimental Physics 2 for Chemists
eLearning course
Assigned to modules:
UE 1 Pirzer, T.
Responsible/Coordination: Bausch, A.
dates in groups
FOPRA Experiment 07: Molecular Motors
current information
Assigned to modules:
PR 1 Bausch, A.
Assisstants: Engelbrecht, L.Kurzbach, S.Raich, M.
FOPRA Experiment 72: Laser-Trapping Microscope (Bacterial Flagella)
current information
Assigned to modules:
PR 1 Bausch, A.
Assisstants: Englbrecht, F.Ritzer, D.
Mentor Counceling on the Different Focus Areas in the Bachelor’s Program Physics (Biophysics)
current information
Assigned to modules:
OV 0.1 Bausch, A. Zacharias, M.
SFB-863 Seminar
current information
Assigned to modules:
SE 2 Abstreiter, G. Bausch, A. Rief, M.

Offered Bachelor’s or Master’s Theses Topics

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
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