The NorMIC workshop series aims to teach biological researchers—including PhD students, engineers, postdocs, and young principal investigators (PIs)—the principles of biological microscopy and image processing.
Registration
Example Schedule from previous workshop
Registration Deadline is 15th Nov and we will let you know the outcome by 21st Nov.
People who need to plan for travel should contact Edna (xian.hu at medisin.uio.no) and secure a seat earlier if needed.
The theory lectures in the mornings are free to attend, with no registration required. Alternatively, one can submit a simplified registration via the registration link, stating the lecturers only in the payment area. You will receive all the teaching material by email.
Practical information
As we are still settling into the new Life Science Building, we will not be able to offer tea/coffee breaks or lunch this year, as we did at previous workshops. The social dinner will still take place as usual. Registration fee is reduced to 500kr, one conference dinner is included.
The computer lab in the Life Science Building is not yet ready, so we cannot provide computers. Participants are asked to bring their own laptops.
The workshop is designed for 25 students.
This workshop does not offer ECTS credit automatically, but many past participants have successfully converted the attendance into study points(2 ECTS).
Aim of the Workshop
We are placing special emphasis on scientific theory and concepts, rather than solely instructing on how to use specific image processing software. We hope that this approach will enable the attendees to quickly develop an understanding of the framework of modern bioimaging sciences and improve their ability to navigate their specific bioimaging applications in this AI age. Additionally, we aspire to establish a local imaging community through these workshops.
Workshop Format
- Morning Sessions: These will consist of lectures covering essential scientific topics related to various aspects of microscopy image processing. The lectures will be delivered by both international and local imaging scientists, including some who have invented major microscope technologies, as well as industry experts. The morning sessions are free and open to public.
- Afternoon Sessions: Participants will engage in hands-on sessions working with various image processing softwares or on group projects. In the afternoon, students will apply the knowledge and theories learned during the morning lectures to practical exercises. They will have the opportunity to compare different image processing tools including coding with AI, reinforcing their understanding and ability to choose the best technologies for their research needs.
- Softwares Planned for Hands-On Session: ImageJ Macro, Nikon NIS Element, Imaris, Deconvolution(Rainer Heintzmann developed free decon software), AI Image Processing Methods. (NIS and Imaris are commercial softwares that are available in most Shared Imaging Facility in Norway. All others are free software.)
- Students are Expected to bring your own labtop.
More information
Tentative Teacher and Staff of the Workshop
- Rainer Heintzmann (Leibniz Institute of Photonic Technology in Jena, Germany)
- Felix Margadant (IBV, University of Oslo, Norway)
- Kay Schink (IMB, University of Oslo, Norway)
- PC Cheng (State University of New York in Buffalo, USA)
- Edna, Xian Hu (Life Sciences Building, University of Oslo, Norway)
- Oddmund Bakke (IBV, University of Oslo, Norway)
- Frode Skjeldal (IBV, University of Oslo, Norway)
- Linda Haugen(IBV, University of Oslo, Norway)
- Harold Gutch(NCMBM, University of Oslo, Norway)
- Anna Lång(Riks Hospital, Oslo University Hospital, Norway)
- Dominik Frei(InterInstrument As)
- Julia Schweizer(Oxford Instrument/Imaris)
The workshop receive financial support from UiO:Life Sciences, Research Council of Norway, and Bridging Nordic Microscopy Infrastructure(BNMI)
The workshop receives administrative support from three departments at the University of Oslo: the Department of Biosciences (IBV), Faculty of Mathematics and Natural Sciences; MolMed Imaging Platform, Faculty of Medicine; and the Department of Microbiology (KLM-MIK), Faculty of Medicine.