This course covers lectures and practical demonstrations in super-resolution microscopy and light-sheet imaging, as well as fluctuation correlation spectroscopy techniques. During week 2 participants (at home) use the aquired knowledge about the advance microscopy techniques to plan their own research projects.
Organizer: KTH-ALM Location: SciLifeLab in Solna, Tomtebodavägen 23 Time: May 22nd-25th lectures/demos; May 29th – June 2nd own project, 2023 Contact and registration: stewen@kth.se, Stefan Wennmalm KTH/SciLifeLab
Welcome to the second meeting of the Bridging Nordic Microscopy Infrastructures (BNMI) network that will take place at the University of Southern Denmark. The aim of the meeting is to bring together scientists who develop or utilize biological imaging methods, the Nordic imaging core facilities, and representatives of industry to discuss projects and present the latest imaging technologies and processing methods.
Organizer: BNMI Location: University of Southern Denmark, Odense Time of event: August 22nd-25th, 2023 Deadline for registration: August 8th, 2023 (Early-bird until June 1st) Weblink: https://event.sdu.dk/bnmi2023 Contact: bnmi2023@sdu.dk
The Centre for Cellular Imaging (CCI) at the University of Gothenburg has been awarded funding from the Chan Zuckerberg Initiative through their imaging program to Advance Imaging Through Collaborative Projects. CCI will take part in two different projects where prof. Julia Fernández-Rodríguez will be co-PI:
COMULISglobe: Multimodal Imaging across Scales in Life Sciences, to harness the power of multimodal imaging across scales from basic research to clinical diagnostics, facilitate access, and train a new generation of scientists
Society for Knowledge Exchange in BioImage Analysis (NEUBIAS), to secure the sustainability of the Network of European Bioimage Analysts, establish strong connections to similar initiatives, and share knowledge about state-of-the-art bioimage analysis tools and methods
We present TissUUmaps, browser-based tool for GPU-accelerated visualization and interactive exploration of tens of millions of datapoints overlaying tissue samples. Users can visualize markers and regions, explore spatial statistics and quantitative analyses of tissue morphology, and assess the quality of decoding in situ transcriptomics data. TissUUmaps provides instant multi-resolution image viewing, can be customized, shared, and also integrated in Jupyter Notebooks. It is also possible to directly connect spatial markers with markers in feature space, such as UMAP plots, to interactively relate feature space with physical space. TissUUmaps was created in collaboration between BIIF and the Wählby lab. You can read more about it and test the software on its web page: https://tissuumaps.github.io/
During the seminar, we will specifically showcase new features of TissUUmaps 3.1, such as: – HDF5 / AnnData files loading – Network diagram visualization – Multiple datasets displayed on a grid – Plugin engine
The webinar will be given by Christophe Avenel and Fredrik Nysjö.
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.
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.
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
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
