Daten ändern |
Flow measurement techniques in microfluidics |
Lecturer: |
Dr. Corinna Maaß, Dr. Stefan Karpitschka |
Course typ: |
Blockveranstaltung |
Description: |
In this two-day course, the students will be introduced to flow imaging techniques widely used in microfluidics. They will acquire hands-on experience on microscopy, and particle image velocimetry for flow field measurements in 2D and 3D. The course starts with an introduction to the theory of the techniques, followed by hands-on experiments in the lab. The open-source software to perform the image analysis (PIV-lab in MATLAB and ImageJ) will also be introduced. The students will apply these skills to different problems e.g. simple channel flow, synthetic and biological micro-swimmers, and evaporating droplets. The participants do not need any specific previous knowledge to attend the course. |
Place: |
unspecified |
Semester: |
WiSe 2019/20 |
Times: |
Dates on Monday, 04.11.2019 - Tuesday, 05.11.2019 09:00 - 23:59 First appointment: Monday, 04.11.2019 09:00 - 23:59 |
Course number: |
340014 |
Participants: |
Target group: GGNB and GAUSS doctoral students. |
Learning organisation: |
The course will take place at the MPI for Dynamics and Self-Organization. The course will be given by: Corinna Maass, Stefan Karpitschka, Hansol Jeon, Babak Vajdi Hokmabad |
Area classification: |
Vorlesungsverzeichnis WiSe 2019/2020 > Forschungseinrichtungen > Göttinger Graduiertenschulen > Georg-August University School of Science (GAUSS) > Göttinger Graduiertenschule für Neurowissenschaften und molekulare Biowissenschaften (GGNB) > Methods Courses > Biophysics, Bioinformatics and Statistics |
ECTS credit points: |
1.0 |
Further information from Stud.IP about this course |
Home institute: Göttinger Graduiertenzentrum für Neurowissenschaften, Biophysik und molekulare Biowissenschaften (GGNB) Participating institute: Georg-August University School of Science (GAUSS) (für Mathematik und Naturwissenschaften) Participants registered in Stud.IP: 4 Number of documents in the Stud.IP download area: 1 |