Automated Bioimage Analysis (4 ECTS)
Universtity of TurkuEntry requirements: Passed the course Bioimage Informatics 1 (BIMA3209), Basic Bioimage Informatics (BIMA3220) or similar knowledge
Learning outcomes:
After the course student:
• understands the motivation for methods used in automated image analysis
• knows how to apply and build pipelines for automated quantitative analysis of microscope images
• understands why and how to validate image analysis pipelines
• is able to make justified selection of approaches for producing quantitative analysis for image data
Content
• 3D image visualization of medical and biological images
• Automated image analysis and batch processing
• Machine learning and deep learning
Learning methods
Online material including examples, quizzes, assignments. Course is tutored by teachers and there are regular deadlines.
Teaching language: English
Evaluation and evaluation criteria:
Passed/failed. Approved online exercises.
Timetable: 5-8 weeks, Summer 2024, starting 27.5.2023.
For more information, please contact Pekka Ruusuvuori (pekka.ruusuvuori@utu.fi) or Laura Mairinoja (laura.j.mairinoja@utu.fi)
Please the course in UTU study guide: BIMA3221 Automated Bioimage Analysis
Registration 1.4.2024-13.5.2024
- UTU-students register in Peppi
- ÅA and UEF students with this form: https://link.webropolsurveys.com/S/36327BD5AEB76E9A
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: