Courses – NMI

EMBL course on Advanced fluorescence imaging techniques

Do you want to learn how to derive qualitative and quantitative insights on molecular mechanisms in cells and developing organisms? Then join ‘Advanced fluorescence in imaging techniques’, a hands-on course for researchers using light microscopy equipment to solve biological problems at the cellular and molecular level in vivo.

Organizer: EMBL Heidelberg
Location: EMBL Advanced Training Centre
Time of event: May 7-12, 2023
Deadline for registration: February 12, 2023
Weblink: https://www.embl.org/about/info/course-and-conference-office/events/mic23-02/?utm_source=EMBL+courses+and+conferences&utm_campaign=ad0cc26a4e-MIC23-02+announcement&utm_medium=email&utm_term=0_-ad0cc26a4e-%5BLIST_EMAIL_ID%5D#vf-tabs__section-53de8397-0f08-449c-b4a4-0fdca47249f2
Contact: lea.hohmann@embl.de

Basic Course in Scanning and Transmission Electron Microscopy (SEM/TEM) for Physical Sciences

This course covers lectures and practical demonstrations in SEM and TEM techniques. The contents include principles of focused electron and ion beam microscopy, specimen preparation for EM imaging and advancements in electron microscopy such as high-resolution TEM, scanning TEM, electron diffraction, elemental analysis and in-situ electron microscopy.

NMI node: UCEM at Umeå University
Location: Lectures at KBC Building and laboratory demonstrations at UCEM, Umeå
Time of event: February 21-23, 2023
Deadline for registration: February 14, 2023
Weblink: https://www.umu.se/en/research/infrastructure/medicinska-fakulteten/u/umea-centre-for-electron-microscopy-ucem/courses-workshops-and-training/basic-course-feb-2023/
Contact: linda.sandblad@umu.se

You can find more info on UCEM’s courses here: https://www.umu.se/en/research/infrastructure/medicinska-fakulteten/u/umea-centre-for-electron-microscopy-ucem/courses-workshops-and-training/

PhD course on Digital Image Analysis for Scientific Applications (DIASA)

The 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.

NMI node: BIIF at Uppsala University
Location: Dept. IT, Uppsala University and on zoom
Time of event: second half of spring 2023
Deadline for registration: February 10, 2023
Weblink: https://www.teknat.uu.se/education/doctoral-studies/courses/faculty/2023-image-analysis-for-scientific-applications-digital/
Contact: carolina.wahlby@it.uu.se