{"id":null,"code":"BIMA3209","name":{"valueFi":"Bioimage Informatics 1","valueEn":"Bioimage Informatics 1","valueSv":"Bioimage Informatics 1"},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[],"createdAt":1790534678309,"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. Starting from the fundamental concepts of digital images in biomedical sciences, students are introduced to various image processing and analysis techniques and tools. Along with lectures, demonstrations will be arranged to provide hands on training in image processing and in-depth and intuitive understanding of modern bioimage informatics approaches and applications. Further studies around the topic can be continued on course BioImage Informatics 2.\r\n\r\nAfter the course, the student will be able to identify common phases in bioimage analysis, select proper methods and approaches for basic analysis tasks, explain the benefits of the use of bioimage informatics for quantification of biomedical images, and compare the differences of manual and computer based analysis of images.","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. Starting from the fundamental concepts of digital images in biomedical sciences, students are introduced to various image processing and analysis techniques and tools. Along with lectures, demonstrations will be arranged to provide hands on training in image processing and in-depth and intuitive understanding of modern bioimage informatics approaches and applications. Further studies around the topic can be continued on course BioImage Informatics 2.\r\n\r\nAfter the course, the student will be able to identify common phases in bioimage analysis, select proper methods and approaches for basic analysis tasks, explain the benefits of the use of bioimage informatics for quantification of biomedical images, and compare the differences of manual and computer based analysis of images.","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. Starting from the fundamental concepts of digital images in biomedical sciences, students are introduced to various image processing and analysis techniques and tools. Along with lectures, demonstrations will be arranged to provide hands on training in image processing and in-depth and intuitive understanding of modern bioimage informatics approaches and applications. Further studies around the topic can be continued on course BioImage Informatics 2.\r\n\r\nAfter the course, the student will be able to identify common phases in bioimage analysis, select proper methods and approaches for basic analysis tasks, explain the benefits of the use of bioimage informatics for quantification of biomedical images, and compare the differences of manual and computer based analysis of images."}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"Digital image fundamentals and application examples, basics of human visual system, pixel processing and neighbourhood operations, segmentation methods, motion tracking, morphological operations, basic concepts of machine learning based image processing, application of bioimage informatics in medical imaging and microscopy.","valueEn":"Digital image fundamentals and application examples, basics of human visual system, pixel processing and neighbourhood operations, segmentation methods, motion tracking, morphological operations, basic concepts of machine learning based image processing, application of bioimage informatics in medical imaging and microscopy.","valueSv":"Digital image fundamentals and application examples, basics of human visual system, pixel processing and neighbourhood operations, segmentation methods, motion tracking, morphological operations, basic concepts of machine learning based image processing, application of bioimage informatics in medical imaging and microscopy."}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"Homework, exercises and examination","valueEn":"Homework, exercises and examination","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"1. Lectures (22 h) \r\n2. Demonstrations (12 h)\r\n3. Homework and exercises (30 h)\r\n4. Independent study (71 h)","valueEn":"1. Lectures (22 h) \r\n2. Demonstrations (12 h)\r\n3. Homework and exercises (30 h)\r\n4. Independent study (71 h)","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"Lecture handouts, demonstration materials, online materials.","valueEn":"Lecture handouts, demonstration materials, online materials.","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"ImageJ/FIJI is the main software platform used on the course, and it is also possible to take a more Python-programming oriented route for the exercises.","valueEn":"ImageJ/FIJI is the main software platform used on the course, and it is also possible to take a more Python-programming oriented route for the exercises.","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"No pre-knowledge is required in bioimage informatics, but knowledge of microscopy techniques, image acquisition and basic computer skills are beneficial for proper understanding of the course.","valueEn":"No pre-knowledge is required in bioimage informatics, but knowledge of microscopy techniques, image acquisition and basic computer skills are beneficial for proper understanding of the course.","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":"Final grade is composed of exam grade and homework grade","valueEn":"Final grade is composed of exam grade and homework grade","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":"Aineopinnot","valueEn":"Intermediate 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":"Pekka Ruusuvuori, Pasi Kankaanpää","valueEn":"Pekka Ruusuvuori, Pasi Kankaanpää","valueSv":"Pekka Ruusuvuori, Pasi Kankaanpää"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}