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PhD Course: Quantitative imaging in chromosome biology
September 9 @ 9:00 am - September 13 @ 3:00 pm CEST
(Deadline: July 1)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.
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