Basic Bioimage Informatics (5 ECTS)

Universtity of Turku

In this course you will learn the basics of image processing and analysis in the point of view of life scientist.

Target group: Target group are master students (biosciences, biomedicine etc.), PhD students, bachelor students (biotechnology etc.), all universities.

Entry requirements: Fulfilling the requirements for university student. If you would like to attend outside any Finnish university, please contact laura.j.mairinoja@utu.fi.

Learning outcomes:

The goal is to learn basics of image processing and analysis in the point of view of life scientist. After the course students:
  • Know and understand the fundamental concepts in image processing and analysis
  • Understand how image processing and analysis can be used in science
  • Are able to do simple basic image processing tasks
  • Are able to produce and evaluate reliable data analysis from images.

Content:
The course covers the following topics:

  • Digital Images and their dimensions
  • General image handling
  • Pixel processing
  • Neighborhood operations and basic filters
  • Edge detection and thresholding
  • Basic morphological operations
  • Basic segmentation and counting objects
  • Good practises in image analysis

Learning methods: 135h independent work online.

Teaching language: English

Evaluation and evaluation criteria: Pass/ Fail. Approved on-line exercises and assignments.

Timetable: 01.04 - 17.05.2024

For more information, please contact laura.j.mairinoja@utu.fi.

Please the course in UTU study guide: BIMA3220 Basic Bioimage Informatics

Registration: 1.2.2024-19.3.2024

* NEW! Please note that the course is also available via open university (for others than students in UTU, UEF and ÅA)!

Enrolment for Open University studies at the University of Turku
In the registration service of Open university at the University of Turku, select the courses or modules you wish to register to. Registration time, quota and possible selection criteria are available in the course or module description in the study guide.  Please also visit the course introduction page, where you will find more information on enrolment.

Open university enrolment link:

> Enrolment 1.2. - 25.3.2024

  • Lärare
    Laura Mairinoja