Automated Bioimage Analysis (4 ECTS)
Universtity of TurkuTarget group:
Target group are master students (biosciences, biomedicine etc.), PhD
students, bachelor students (biotechnology etc.), all Finnish
universities.
Entry requirements: Passed the course Bioimage Informatics 1 (BIMA3209 course or online course BIMA3218) or similar knowledge
Learning outcomes:
After the course student:
• understands the motivation for and basic 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 2022
Registration 1.3.2022-14.4.2022 in Webropol: https://link.webropolsurveys.com/S/2297DBD5F0FC7C52
For more information, please contact Pekka Ruusuvuori (pekka.ruusuvuori@utu.fi) or Laura Mairinoja (laura.j.mairinoja@utu.fi)
This course is part of the Jobitti online summer studies 2022 and cannot be carried out separately. In summer studies, students combine a compulsory prjoject work (1 ECTS) with 1-5 topic courses:
- Sequencing and Genomics in Diagnostics and Personalized Medicine 4 ECTS
- Automated Bioimage Analysis 4 ECTS
- Quantification of Histopathology Using Image Analysis, 4 ECTS
- Introduction to immunoassays in Diagnostics 1ECTS
- Teacher
Laura Mairinoja