Lecture: Visual Computing in the Life Sciences


  • Lecturer(s):
  • Start: 12.04.2020
  • Dates: Mon and Thu 11:00-12:30 (online)
  • Curriculum: B-IT Master Life Science Informatics
  • Effort: 4 SWS / 6 CP
  • Exams: TBA



This year, the lecture will be held online, using zoom and the eCampus platform. Please sign up there to receive all relevant information.

The significance of Visual Computing in the Life Sciences is due to two main factors:

  1. The increasing use of digital images, such as microscopy and 3D/4D imaging. Quantitative analyses of such data require suitable methods for image processing and analysis.
  2. Given increasing amounts of measured, simulated, collected and stored data in general (including, but not limited to imaging), interactive visual representations have become a key strategy for exploration and analysis, communication of findings, as well as steering of simulations or measurements.

Within this scope, this year's lecture will focus on the following main topics:

  • Image filtering and edge detection
  • Biomedical imaging techniques
  • Image registration
  • Image segmentation
  • Image analysis with deep learning
  • Visualization of multidimensional data
  • Dimensionality reduction and manifold learning
  • Design and analysis of visualizations for the life sciences
  • Modeling and analysis of neuroimaging data