Kies de Nederlandse taal
Course module: BMB507009
Digital Pictures: Data Integrity & Display
Course info
Course codeBMB507009
Course goals
At the end of the course the student::
  1. is acquainted with the theory behind digital images;
  2. is able to apply image processing software;
  3. is able to make a publication quality figure based on vector based software according to scientific standards.
Period: This course is offered on 11-12 May 2023 (BMS_P4_B)

Dr. Nalan Liv, Cell Biology, UMC Utrecht
Description of content
The output of scientific experiments often comes in the form of digital images e.g. scans of Western blots and microscopic images. This certainly has a lot of advantages, because digital images can contain spatial information and can be more telling than plain numerical data. A disadvantage of data in the form of digital images is that they can, often unintendedly, be manipulated using computer software in a way that is not in agreement with scientific standards. 

In this course we will focus on what you can do and what you shouldn’t do to get the best representation of your digital image without altering the actual data. The course will be given in an interactive way, with time for practicing on assignments on laptops (provided). 

The first day we will go into some theory behind digital images and practice with two different image processing software packages. The second day we will go more into presenting your images in publication quality figures and/or presentations using vector based software. 

There will be a pre-course assignment to start getting a feeling for working with images. As a final assignment the students will hand in a publication quality figure made from images provided at the course. 

Literature/study material used:
literature will be e-mailed to participants. Course handouts are available after the course
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Mandatory for students in own Master’s programme:
Optional for students in other GSLS Master’s programme:
Open for master students of other LS masters and PhD students
Prerequisite knowledge:
Master’s students should be in the second year of their programme.
Kies de Nederlandse taal