{"id":null,"code":"BIMA3210","name":{"valueFi":"Bioimage Informatics 2","valueEn":"Bioimage Informatics 2","valueSv":"Bioimage Informatics 2"},"credits":4.0,"minCredits":4,"maxCredits":4,"tags":[],"createdAt":1790534697677,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"Bioimage Informatics is a field of science that deals with the processing, analysis, visualization, handling and annotation of bioimages, using specialized software tools. An important aim in the field is to extract quantitative information from digital biomedical images. This course deepens basic knowledge of common bioimage informatics tools and principles, and aims at giving students the ability to understand, apply and troubleshoot bioimage informatics approaches in practice.","valueEn":"Bioimage Informatics is a field of science that deals with the processing, analysis, visualization, handling and annotation of bioimages, using specialized software tools. An important aim in the field is to extract quantitative information from digital biomedical images. This course deepens basic knowledge of common bioimage informatics tools and principles, and aims at giving students the ability to understand, apply and troubleshoot bioimage informatics approaches in practice.","valueSv":"Bioimage Informatics is a field of science that deals with the processing, analysis, visualization, handling and annotation of bioimages, using specialized software tools. An important aim in the field is to extract quantitative information from digital biomedical images. This course deepens basic knowledge of common bioimage informatics tools and principles, and aims at giving students the ability to understand, apply and troubleshoot bioimage informatics approaches in practice."}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"Advanced course for digital image analysis, processing and visualization, focused on 3D/4D microscopy images, but with generally applicable principles. Topics include advanced segmentation-based analysis with real-life case studies and trouble-shooting, colocalization analysis, introduction to machine learning for image processing, and rules, ethics and best practises of image processing and analysis. Possible additional topics include 3D rendering, motion tracking and preparing pictures for publications. The course contents are adjusted each year to some extent, depending on the participating students. The course provides ample opportunities for discussion and learning also independent scientific thinking.","valueEn":"Advanced course for digital image analysis, processing and visualization, focused on 3D/4D microscopy images, but with generally applicable principles. Topics include advanced segmentation-based analysis with real-life case studies and trouble-shooting, colocalization analysis, introduction to machine learning for image processing, and rules, ethics and best practises of image processing and analysis. Possible additional topics include 3D rendering, motion tracking and preparing pictures for publications. The course contents are adjusted each year to some extent, depending on the participating students. The course provides ample opportunities for discussion and learning also independent scientific thinking.","valueSv":"Advanced course for digital image analysis, processing and visualization, focused on 3D/4D microscopy images, but with generally applicable principles. Topics include advanced segmentation-based analysis with real-life case studies and trouble-shooting, colocalization analysis, introduction to machine learning for image processing, and rules, ethics and best practises of image processing and analysis. Possible additional topics include 3D rendering, motion tracking and preparing pictures for publications. The course contents are adjusted each year to some extent, depending on the participating students. The course provides ample opportunities for discussion and learning also independent scientific thinking."}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"Practical exercises and mandatory presence during sessions. Final written examination.","valueEn":"Practical exercises and mandatory presence during sessions. Final written examination.","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"1. Physical sessions (lectures & practicals) (27 h) \r\n2. Practical exercises (home work) (35 h)\r\n3. Independent study (44 h)\r\n4. Exam (2 h)","valueEn":"1. Physical sessions (lectures & practicals) (27 h) \r\n2. Practical exercises (home work) (35 h)\r\n3. Independent study (44 h)\r\n4. Exam (2 h)","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"- Lecture materials and practical instructions etc. distributed during the course\r\n- Selected scientific publications and other reference material distributed during the course","valueEn":"- Lecture materials and practical instructions etc. distributed during the course\r\n- Selected scientific publications and other reference material distributed during the course","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"BioImage Informatics 1 is recommended, but not required, if the student otherwise has basic knowledge of digital images and bioimage informatics","valueEn":"BioImage Informatics 1 is recommended, but not required, if the student otherwise has basic knowledge of digital images and bioimage informatics","valueSv":""}},{"title":{"valueFi":"Arviointiasteikko","valueEn":"Assessment scale","valueSv":""},"content":{"valueFi":"0-5","valueEn":"0-5","valueSv":"0-5"}},{"title":{"valueFi":"Arviointikriteerit","valueEn":"Assessment criteria","valueSv":""},"content":{"valueFi":"Grading is based on practical exercises. Starting from academic year 2026-2027 grading is based on both practical exercises and written examination.","valueEn":"Grading is based on practical exercises. Starting from academic year 2026-2027 grading is based on both practical exercises and written examination.","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 2","valueEn":"Assessment criteria 2","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 3","valueEn":"Assessment criteria 3","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 4","valueEn":"Assessment criteria 4","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kielet","valueEn":"Languages","valueSv":""},"content":{"valueFi":"englanti","valueEn":"English","valueSv":"engelska"}},{"title":{"valueFi":"Taso","valueEn":"Level","valueSv":""},"content":{"valueFi":"Syventävät opinnot","valueEn":"Advanced Studies","valueSv":""}},{"title":{"valueFi":"Oppiaine","valueEn":"Subject","valueSv":""},"content":{"valueFi":"Biomedical Imaging","valueEn":"Biomedical Imaging","valueSv":"Biomedical Imaging"}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Pasi Kankaanpää","valueEn":"Pasi Kankaanpää","valueSv":"Pasi Kankaanpää"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}