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DTSTART;TZID=Europe/Stockholm:20230404T080000
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DTSTAMP:20260414T181157
CREATED:20230307T080222Z
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UID:150032-1680595200-1683651600@www.scilifelab.se
SUMMARY:Digital image analysis for scientific applications
DESCRIPTION:Language of instruction: EnglishCourse period: 2023-04-11– 2023-05-09Course structure: The course will be hybrid on site and via zoom to facilitate remote participation. For computer exercises we encourage on-site participation for best possible support\, but will do our best to also support those participating remotely. \n\n\n\nRECOMMENDED PREREQUISITES\n\n\n\nThe target group is PhD students from all subjects where digital image analysis (IA)  is used as a research tool. No previous experience in IA is required from the course participants\, but an interest in its potential as a tool in their own research is important. The course can be followed with a basic knowledge of mathematics (corresponding to upper‐ secondary level entry requirements) and basic computer skills. \n\n\n\nLEARNING OUTCOMES\n\n\n\n\nexplain fundamental notions of IA\, such as digitization\, image enhancement\, segmentation\, and feature extraction and classification;\n\n\n\ncritically evaluate several different methods for image segmentation\, compression\, distance computation\, frequency analysis\, etc.\n\n\n\nuse software to apply and evaluate algorithms for solving image analysis problems;\n\n\n\nanalyze and plan the steps necessary to solve a realistic image analysis problem;\n\n\n\ngive examples of applications in research and industry where image analysis is used.\n\n\n\n\nLEARNING OUTCOMES FOR DOCTORAL DEGREE \n\n\n\nThe course participants will practice their ability to perform scientific analyses\, find and test appropriate IA methods\, and present and discuss their scientific results. \n\n\n\nCOURSE CONTENTS\n\n\n\nThe focus of the course is on reaching a broad understanding of IA and a basic understanding of the theory and algorithms behind the IA methods. The course starts with basic IA methods and computer exercises\, including IA research methodology and IA research ethics. Modern techniques based on Artificial Intelligence will also be discussed in relation to the classical approaches.  \n\n\n\nINSTRUCTION\n\n\n\nThe pedagogical approach will combine traditional lectures\, examples of real life applications and hands-on exercises. We also use a flipped classroom approach based on our pre-recorded course material which enables participants to prepare for discussions and exercises. \n\n\n\nASSESSMENT\n\n\n\nThe examination will be divided into two parts: \n\n\n\n\ncompleted four computer exercises\, which enable the course participants to both get familiar with the interfaces of common software and to solve realistic image processing problems\,\n\n\n\na written exam\n\n\n\n\nCompleted exercises and passing written exam gives 5hp.  \n\n\n\nCOURSE EXAMINER\n\n\n\nCarolina Wählby\, carolina.wahlby@it.uu.se together with other seniors involved in the BioImage Informatics Unit of SciLifeLab (https://www.scilifelab.se/units/bioimage-informatics/)\, the Image analysis node of the National Microscopy Infrastructure (http://www.nmisweden.se/)\, and the Centre for Image Analysis (https://www.cb.uu.se/) hosted at the Dept. of Information Technology. \n\n\n\nDEPARTMENT WITH MAIN RESPONSIBILITY\n\n\n\nDept. of Information Technology \n\n\n\nCONTACT PERSON/S \n\n\n\nCarolina Wählby\, carolina.wahlby@it.uu.se \n\n\n\nAPPLICATION\n\n\n\nSubmit the application for admission to: carolina.wahlby@it.uu.seSubmit the application not later than: March 25\, 2023
URL:https://www.scilifelab.se/event/digital-image-analysis-for-scientific-applications/
LOCATION:Uppsala University\, Uppsala\, Sweden
CATEGORIES:Course
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2023/03/Course.jpg
ORGANIZER;CN="Bioimage Informatics Unit":MAILTO:biif@scilifelab.se
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