NMI – Page 5

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/

BioImage Informatics CALL4HELP

The BioImage Informatics Facility (BIIF) together with microscopy expert Sylvie Le Guyader (LCI, Karolinska Institutet) organizes a Call4Help session every month. The aim is to offer combined expertise towards microscopy and bioimage analysis. All researchers from Swedish institutes can participate.

NMI node: BIIF at Uppsala University
Location: on zoom
Time of event: every 1st week of the month (mainly on Tuesdays, but there might be exceptions)
Deadline for registration: continuous
Weblink: https://www.scilifelab.se/call4help-form/
Contact email: biif@it.uu.se

NBIS workshop in Neural Nets and Deep Learning

This course is provided by the National BioInformatics Infrastructure Sweden (NBIS) and gives an introduction to the concept of Neural Networks (NN) and Deep Learning. Topics covered include:
• NN building blocks, including concepts such as neurons, activation functions, loss functions, gradient descent and back-propagation
• Convolutional Neural Networks
• Recursive Neural Networks
• Autoencoders
• Best practices when designing NNs

Location: Navet, SciLifeLab, Uppsala
Time of event: March 20, 2023 – March 24, 2023
Deadline for registration: February 10, 2023
Weblink: https://www.scilifelab.se/event/nbis-workshop-in-neural-nets-and-deep-learning-2/
Contact: edu.neural-nets-deep-learning@nbis.se

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