Graduate School of health and Medical Sciences

Quantitative imaging in chromosome biology
Provider: Faculty of Health and Medical Sciences

Activity no.: 3183-24-00-00
	Enrollment deadline: 14/07/2024

Date and time	09.09.2024, at: 09:00 - 13.09.2024, at: 18:00
Regular seats	14
Course fee	14,760.00 kr.
Lecturers	Fena Ochs
ECTS credits	4.40

Contact person	MoMed Team E-mail address: momed@bric.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), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed on the waiting list until enrollment deadline. This also applies to PhD students from NorDoc member faculties. After the enrollment deadline, available seats will be allocated to applicants on the waiting list. ”Special rules apply” All students applying for this course will be placed on a waiting list. To get a seat on the course, the students must send an abstract of their work to the course manager Fena Ochs.The deadline for sending the abstract is the same as the registration deadline. The students will be selected for the course based on their abstracts. Learning objectives A student who has met the objectives of the course will be able to: 1. Understand the theoretical aspects of high-content microscopy 2. Plan high-content experiments from sample preparation to sample imaging 3. Analyse large microscopy data sets using open access software tools 4. Discuss the potential of quantitative imaging in biomedical research 5. Understand the most recent and revolutionary developments in bioimaging Content This five-day comprehensive course covers the entire spectrum of quantitative bioimaging, starting from the fundamental basis of high-content microscopy, instrumentation, sample preparation, molecular markers, right to the most recent and revolutionary developments in bioimaging and bioimage data analysis, including artificial intelligence in microscopy. The course is designed for researchers having previous experience with microscopy as the course includes a poster session and optional high-content imaging of own samples. The course consists of theoretical lectures, training in imaging on high-content imaging systems from Olympus (ScanR), and acquisition of datasets of own samples or samples provided by the organisers. The students will furthermore exercise bioimage data analysis using open access software including artificial intelligence based approaches. In addition, the course will include a poster session to exhibit participant's projects and help develop quantitative imaging strategies to individual projects. Finally, the most recent and revolutionary developments in quantitative biomedical imaging will be presented by internationally renowned experts. Participants The course is offered to PhD students from relevant fields at the Faculty of Health and Medical Sciences at the University of Copenhagen. The course is offered to students with previous microscopy experience, who would benefit from implementing quantitative imaging or analysis approaches. Participants are encouraged to contact the organisers beforehand if they wish to bring their own samples. All participants need a laptop for the image analysis sessions. In order to be enroled in the course, please send an abstract of your work (max. 200 words) to the course director (fena.ochs@bric.ku.dk) and we will inform you by August 2024 whether you have been selected for the course/poster or short talk presentation. 12 participants total. Deadline for sending your abstract is 1 July 2024. 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 This 5-day course is aimed at PhD students in chromosome biology (e.g. DNA replication, DNA repair, cell division, transcription) with clear questions in microscopy. The aim of this course is to train students in furthering their microscopy skills to implement high-content imaging and/or automated quantitative analysis protocols in their research. The course consists of: - theoretical lectures covering instrumentation, sample preparation, imaging and image analysis - keynote lectures from international experts in the fields highlighting the power of quantitative imaging in chromosome biology - practical training and possibility to acquire datasets of own samples - biomedical image analysis training including artificial intelligence - introduction to the most recent and revolutionary developments in microscopy - a poster session to present own work to specialists in the field Course director Associate Professor Fena Ochs, BRIC, fena.ochs@bric.ku.dk Teachers Associate Professor Fena Ochs, Group Leader BRIC, University of Copenhagen, Denmark Assistant Professor Bennie Lemmens, Group Leader Karolinska Institutet, Sweden Associate Professor Andreas Mund, CSO OmicVision Biosciences, Copenhagen, Denmark Dr Sébastien Tosi, Head of Danish Bioimaging Analysis Core Facility, University of Copenhagen, Denmark Dr Lior Pytowski, CEO PixelBiology, Oxford, UK Dr Yasuko Antoku, Facility for Light Microscopy, BRIC, Copenhagen, Denmark Ms Gaia Menichincheri, PhD fellow Ochs laboratory, BRIC, University of Copenhagen, Denmark Ms Aya Taksuda, Research Assistant Ochs laboratory, BRIC, University of Copenhagen, Denmark Dates The course runs from 9 - 13 September 2024 Preparations including sample and poster preparation start a week before. Course location BRIC, University of Copenhagen, Ole Maaløes Vej 5, 2200 CPH N Registration Please register before 14 July 2024 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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