September 9, 2022
Europe/Berlin timezone

In presentations and publications scientific figures are the main means of conveying your research data and convincing the audience of your findings. For this task your figures need to be comprehensible and as self-explanatory as possible. Achieving this level of understandability is not an easy task given the complex research findings different interpretation possibilities.

In this course we will:

  • Develop a clear figure message
  • Make the message visible in the graphic
  • Create self-explanatory figures instead of just showing data
  • Increase the message to noise ratio of a figure
  • Tackle color choice, color consistency and appearance
  • Choose the best representation format for the data
  • Test the figures with the other participants for comprehensibility

Please note: Given that this is a hands-on workshop, you need some figures that can be used as basis for the exercises. Please also bring your laptop as well as the needed programs for improving your figures.

The trainer: Dr. Carsten Rohr, Munich.


This workshop  is part of the transferable skills portfolio of the PIER Education platform on the science campus Bahrenfeld/DESY. The workshops are usually one-day courses for a maximum number of 12-15 participants and are offered once or twice a year. The trainers are carefully selected experts with many years of experience in teaching scientists. Some of the workshops are open for postdocs.

The workshops offered in the PIER Education Platform are a cooperation between the PIER Helmholtz Graduate School and its partner organisations and institutes Quantum Universe Research School QURS, the Collaborative Research Center SFB 925, The Hamburg Centre for Ultrafast Imaging CUI, the International Max Planck Research School for Ultrafast Imaging & Structural Dynamics IMPRS-UFAST, DASHH, the Centre for Structural Systems Biology CSSB, the European Molecular Biology Laboratory EMBL and HELIOS.



This workshop counts for 0.5 credit points in category C (key skills) of the PIER study programme.

Registration for this event is currently open.