Tim Prangemeier
PhD student
Contact
tim.prangemeier@gast.tu-...
Work
S3/06 204
Merckstrasse 25
64283
Darmstadt
Additional contact information
Additional contact information for the Bio-Campus (Schnittspahnstraße 10)
- Modelling Lab (B1|08): +49 6151 16 20886
- Wet Lab (B2|03): +49 6151 16 57 244
- Microscope Lab (B2|03): +49 6151 16 57 57 245
Tim studied mechanical and process engineering at the Technische Universität Darmstadt and joined the SOS lab in 2017. His background is in fluid mechanics and metrology, originally in the wind tunnel and in-flight measurement setting. Having previously investigated bioinspired unsteady aerodynamics, self-organising systems and microfluidic metrology, Tim has transitioned to microfluidics and experimental design. While he is still interested in fundamental fluid mechanical questions, he is working on novel microfluidic components and optimized experimental design within the framework of the LOEWE CompuGene research program (project B-2).
Research and interests
Tim's research interests are focused around developing metrology for single-cell measurements. He is especially interested in optimal-experimental design with both automated measurements and system perturbation methods. This requires the development of novel microfluidic components, automated image processing tools, mathematical modelling, as well as addressing wet lab questions such as controlling organism culture conditions.
Student projects are available in a range of different fields corresponding to the diverse research interests. Topics range from IT, over classical engineering projects to biological investigations. A list of potential topics offered at BCS can be found here .
Publications
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Current Student Projects
|
Christoph Reich (Research Assistant) |
GANs for Cell-Trap Configurations; CNN applications in Bio-Imaging |
Completed Student Projects
|
Mirza Dupovac (Master Thesis) |
Variational Bayesian Optimal Experimental Design for the Characterization of Biomolecular Circuits | 12/20201 |
|
Aigerim Khairullina (Master Thesis) |
Generation of a Cell Segmentation Training Dataset for a Synthetic Biology Model Organism | 12/2021 |
|
Berkay Canel (Master Thesis) |
MS Lesion Segmentation on MRI Imagery | 12/2020 |
|
Christian Schade (Master Thesis) |
CNNs for microscope focal plane classification | 11/2020 |
|
Christoph Reich (Bachelor Thesis) |
Generative Adversial Networks for Cell-Trap Configurations; CNN applications in Bio-Imaging | 10/2020 |
|
Ziheng Wang (Master Thesis) |
Benchmarking Live Cell Imaging Techniques | 12/2019 |
|
André Françani (Master Thesis) |
Cell Segmentation Performance of CNNs | 12/2019 |
|
Yujue Wang (Master Thesis) |
Transfer Learning Strategies for CNNs in the Laboratory | 11/2019 |
|
Christoph Reich (Pro, and Project Semianr) |
CNN Segmetnaiton Applications in Biological Research | 10/2019 |
|
Jan Basrawi (Master Thesis) |
Feasibility of Robust Cell Segmentaiton with CNNs | 06/2019 |
|
Patrick Kitzing (Bachelor Thesis) |
Numerical Simulation of Microfluidic Cell Trapping | 07/2018 |
|
Elisa Fernandez (Bachelor Thesis) |
Cell Segmentation with Support | 04/2018 |
| IT Project Group | Image Processing Pipeline | 10/2017 |
| IT Project Group | Automation of Experimental Setup | 10/2017 |
|
Gabriela Santos de Souza (Master Thesis) |
Image Processing: Segmentation of Trapped Single Cells |
04/2017 |
|
Archit Aggarwal (Bachelor Thesis) |
Image Processing: Trap Pattern Detection (Electrical Engnieering) |
07/2016 |
|
Yurii Toma (Bachelor Thesis) |
Image Processing: Trap Pattern Detection (IT and Mathematics) |
04/2016 |
Co-Supervised Students and Research Assistants
- Florian Swienty (Bachelor Thesis, Physics, teaching assistant)
- Sarah Riesbeck (wet lab, research assistant)
- André Françani (imaging, research assistant)
- Florian Schwald (teaching assistant)
Possible student projects
Possible student projects you can find here .
Additional contact information for the Bio-Campus (Schnittspahnstraße 10)
- Modelling Lab (B1|08): +49 6151 16 20886
- Wet Lab (B2|03): +49 6151 16 57 244
- Microscope Lab (B2|03): +49 6151 16 57 57 245