Workshop for Specialists – Master Your Multiscale Challenge Tools and Techniques for 3D Light and Electron Microscopy, arranged by the CCI in Gothenburg and Carl Zeiss, December 2017.
PhD course in basic Image Analysis arranged by the CCI and powered by NEUBIAS trainers, November 2017. The course provides a introduction to image processing and analysis, with emphasis on biologically relevant examples.
The Basic EM Course provides general and basic introduction to PhD students and postdocs, who would like to work with EM methods in their projects. The course covers fundamental theory and operational principles as well as specimen preparation techniques for SEM/TEM.
Two simultaneous training schools focus on Bioimage Data Analysis arranged by the NMI Centre for Cellular Imaging at the University of Gothenburg and supported by the NEUBIAS COST Action CA15124, September 2017.
The Advanced Microscopy Workshops bring together researchers from the Nordic countries working with advanced microscopy modalities. The meeting is organized by the NMI BioImaging Facilities in Solna and ZEISS, September 2017.
The NMI Centre for Cellular Imaging, in collaboration with ZEISS, is pleased to invite you on April 5th to 6th 2017 to a workshop focused on cleared tissue imaging with the Lightsheet Z.1.
Arranged by the NMI Centre for Cellular Imaging at the University of Gothenburg. The course will deal with different aspects of modern cellular and molecular microscopy. Gothenburg, April 2017.
2-day training course for facility staff within the NMI consortium. The course will take place in Gothenburg the 14-15th of March, 2017, and it will cover all the details of the IMARIS software from data visualization, measurement and tracking, object detection to Batch-processing.
Arranged by the NMI BICU at the University of Umeå. The course is aimed to introduce a variety of bioimaging techniques to provide the participants with sufficient knowledge to navigate in the field of Bioimaging. February 2017.
The aim of this EM Basic Course is to provide basic introduction to PhD students and postdocs, who would like to work with EM methods in their projects.