Winter Semester 2020/2021

Experimental Biophysics

Tom Robinson (MPIKG)

In a nutshell, Biophysics is the interface between Biology and Physics. This interdisciplinary topic aims to tackle unanswered biological questions from the perspective of a physicist, often using laws and tools well established in physics-based research labs. Biophysical research techniques have been around for a while (e.g. the discovery of DNA in 1953 with X-ray crystallography), but new ones are emerging all the time. More recently, the pioneers of cryo-electron microscopy won the Nobel prize in Chemistry. This lecture series will introduce a range of experimental biophysics techniques (both old and new) and present examples of their applications. Methods covered will include: advanced light microscopy, miniaturised technology (microfluidics), spectroscopy (fluorescence, absorbance), cryo-EM, x-ray crystallography, micropipettes, optical tweezers, AFM, and synthetic biology (biomimetic lipid vesicles).

Please contact Dr Robinson to register for the course. The course will be online.


Cell biology for life scientists

Ralph Graef (Uni Potsdam, Biology)

Please contact Prof Ralph Graef to register for the course.

The course will be delivered in form of a podcast, that can be found under:

Prof Ralph Graef will additionally offer a zoom connection for Q&A.

Cell and Tissue Mechanobiology

Cecile Bidan (MPIKG)
  • What ws2021
  • When Nov 30, 2020 from 10:30 AM to 12:00 PM (Europe/Berlin / UTC100)
  • Where Onlline. Please register first.
  • Contact Name
  • Add event to calendar iCal

Mechanobiology is a new interdisciplinary field of science, which focuses on how mechanics influences biological processes in living organisms. The mechanisms at stake involve different length scales: from the molecular, to the cellular, to the tissue level, and give rise to adaptive behavior like tissue softening or reinforcement depending on their mechanical loading. In this course, we will i) go through the key ingredients and concepts of mechanobiology in mammalian cells, ii) link them to tissue properties and their implication in different fields (e.g. tissue engineering, medicine, development) and iii) get an overview of the major techniques that generated the current knowledge in this field. 

The course will consist of two lectures per week:

Monday 10:30-12:00
Friday 10:30-12:00

starting Nov. 30, 2020 until the beginning of February.

Adjustments can be done in agreement with the participants. The course will be online, information to join will be given upon registration.

Please contact Dr Bidan at for registration.


Computer Physics

Roland Netz (FU - Physics)

 Please contact Prof Netz for further details and for registration.

Introduction to Applied Statistics

Angelo Valleriani (MPIKG)

Statistics is a must-needed set of tools in experimental sciences. In almost every study, methods from statistics are necessary and their justification is required for a good level publication. Despite the availability of a number of powerful and sophisticated software, it is not always obvious what analysis approach is needed in any particular case if one does not have an introductory level background in the matter. This one semester course will cover a few of the fundamentals in statistics. The course will start with a summary of probability theory. In a second part we will move on to cover methods for estimating means and proportions by defining and computing confidence intervals. In a third part we will discuss methods for hypothesis testing for means and proportions using rejection region, p-value and confidence interval approaches. The tools discussed in the class will be the most used ones in everyday work with experimental data (including z-test, t-test, ANOVA, linear regression). More advanced tools (permutations, bootstrap, nonparametric) will be discussed only superficially. The course won't refer to any particular software but people used to work with any given software are welcome to use it in order to solve the exercises.
Everyone interested is welcome to join.
This course will be available online only.
The first lecture will take place on November 11, 2020.
To join use the following link and insert your full name when joining:
Meeting link:
Meeting number: 137 514 6340
Password: jXPh5MPad26
Host key: 294114