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.
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.
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
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.