Graduate School of health and Medical Sciences

Image processing
Provider: Faculty of Health and Medical Sciences

Activity no.: 3645-18-00-00
	Enrollment deadline: 07/05/2018

Date and time	11.06.2018, at: 08:00 - 15.06.2018, at: 17:00
Regular seats	20
Course fee	4,920.00 kr.
Lecturers	Clara Prats
ECTS credits	4.20

Contact person	Ida Marie Bergman Rasmussen E-mail address: ida.mbr@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School). All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student, you will be placed on the waiting list for the course until enrollment deadline. After the deadline of enrollment, available seats will be allocated to students on the waiting list. Learning objectives A student who has met the objectives of the course will be able to: 1. This course in Image processing will introduce the students to basic Image processing tools and teach them to use them for Advance applications. 2. The students will learn the fundamentals of image analysis with a focus on biologically relevant examples. 3. The students will also learn how to do basic Macro programming for automated batch analysis of images. Aim: This course is an introduction to image processing and analysis, with a focus on biologically relevant examples. The students will also learn the fundamentals of image analysis including how to do basic Macro programming in Fiji (ImageJ) for automated batch analysis of images, use different software solutions for image analysis, and will be introduced to visualisation and explorative data analysis after extraction of numerical data from images. Content: We will initially use FijJi to illustrate fundamental image analysis concepts, then expand to introduce other software packages such as QuPath. The students will learn what a digital image is, how and when to perform basic image processing tasks and how to combine such tasks to perform advanced image processing and segmentation, automated pixel classification and, 2D and 3D measurements. Furthermore, the student will learn basic Macro programming and how to automate analysis of many images. Students will have to submit an image processing project before the course; summarizing a bioimaging experiment and describing the research question. The course program includes work on own project sessions with advice, supervision and support from the teachers. Within 1 week after the course, students will need to submit a course report based on the outcome from their own project Participants 20 PhD students who use digital imaging. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: All graduate programmes Language English Form Lectures, exercises Course director Clara Prats; cprats@sund.ku.dk Teachers Peter Bankhead, Chong Zhang, Thomas Braunstein, Clara Prats Course secretary Ida Marie Rasmussen; idambr@sund.ku.dk Dates 11.06.2018 – 15.06.2018 Course location Panum – PC room 21.2.22a Registration Please register before 7 May 2018 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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