BioImage Analysis Course 2020 Poster Cutout by Kirstin Vonderstein

improve your BioImage Analysis SkillS!

Due to the ongoing Coronavirus pandemics all lectures will be streamed online and depending on the situation even the hands-on workshops will take place remotely!

Registration deadline 6th April 2020!

Doctoral students please use the Enrol link below AND fill the e-lomake:

Everybody else register via e-lomake:

10.3.2020 at 08:00 - 6.5.2020 at 23:59


Here is the course’s teaching schedule. Check the description for possible other schedules.

Mon 11.5.2020
08:15 - 08:45
Mon 11.5.2020
09:00 - 17:00
Tue 12.5.2020
08:00 - 12:00
Wed 13.5.2020
08:30 - 15:30
Thu 14.5.2020
08:30 - 15:30
Fri 15.5.2020
08:30 - 15:30
Mon 18.5.2020
08:30 - 17:00
Tue 19.5.2020
08:30 - 15:30


Bioimage Analysis Course


  • The Doctoral Programme in Biomedicine coordinates the course.
  • This is an optional course.
  • The course is part of the Field-Specific Studies module.
  • The course is available to students of other degree programmes.

Introduction to bioimage analysis tools and methods. Subjects covered will include methods such as object recognition, intensity measurements, colocalization studies, and object tracking. Practical analysis training will concentrate on software freely available and installable via the university software portal, and on commercial software available on BIU analysis workstations.

This course is for second year and beyond doctoral candidates. In the autumn term, the course is not organised annually.

Time: Monday 11th May 2020 9.00-16.00
Place: Lecture Hall 3, Biomedicum
9-10 What is an image?
10-11 Basics of Imaging
11-12 Colocalisation

13-14 Cell Counting
14-15 Deconvolution
15- 16 Trust Images & Numbers

Hands-on Workshops:
Time: Tuesday 12th May – Tuesday 19th May
SVI Huygens (Deconvolution)(half-day)
Imaris basic(half-day)
Imaris advanced (whole day)
Fiji (half-day)
Cellprofiler (half-day)
ZEN (half-day)

Attendance on the lecture day (11.5.2020) and three hands-on workshops (3h each) are required for credits (1 ECTS).

Additionally register to workshops via e-lomake:

Particpants will be selected based on motivation letters which are sent via e-lomake (e-form).

course will be organised as contact teaching (attendance required).