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Mapping of biomolecule excretions next to cells using AFM integrated nanopores
Proteins, ions, and other excretions secreted from single cells are the key signaling factors to determine the interaction of cells with the extracellular matrix and the neighboring cells. We integrated a nanopore into an atomic force microscope (AFM) for sensing secreted molecules.
The project can be separated into two parts, depending on the interest and experience of the student.
1. Data recording (mostly using LabVIEW) and data analysis (Python) of nanopore translocations. This may also include more advanced data analysis like machine learning algorithms.
2. Further development of the sensor. This part may include the fabrication of novel silicon chips for microfluidics (MEMS and clean room experience required) as well as design and programming of controllers, electrical circuits, and software for novel sensor operations (LabVIEW and Python).
The project can be separated into two parts, depending on the interest and experience of the student.
1. Data recording (mostly using LabVIEW) and data analysis (Python) of nanopore translocations. This may also include more advanced data analysis like machine learning algorithms.
2. Further development of the sensor. This part may include the fabrication of novel silicon chips for microfluidics (MEMS and clean room experience required) as well as design and programming of controllers, electrical circuits, and software for novel sensor operations (LabVIEW and Python).
The goal of this project is to create a map of excretion densities around neurons and to improve the nanopore sensing technology. Furthermore the student will have the oportunity to get to know a state-of-the-art lab environment and to learn how to work independently in an sciencitific environment.
The goal of this project is to create a map of excretion densities around neurons and to improve the nanopore sensing technology. Furthermore the student will have the oportunity to get to know a state-of-the-art lab environment and to learn how to work independently in an sciencitific environment.
Til Schlotter
Gloriastrasse 35, ETZ F76,CH-8092 Zurich,
schlotter@biomed.ee.ethz.ch,
http://www.lbb.ethz.ch/the-group/ph-d--students/schlotter--til.html
If you are interested please write an email to me, which should include your CV, a statement of your motivation for this project and a description of your previous research experience.
Til Schlotter Gloriastrasse 35, ETZ F76,CH-8092 Zurich, schlotter@biomed.ee.ethz.ch, http://www.lbb.ethz.ch/the-group/ph-d--students/schlotter--til.html
If you are interested please write an email to me, which should include your CV, a statement of your motivation for this project and a description of your previous research experience.