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Course Imaging Facility OIC News

MinFlux super-resolution
demo & workshop

The Erasmus Optical Imaging Centre will host a MinFlux demonstration in the period of November 11-15 and a NVvM workshop focussed on MinFlux microscopy on Monday November 18. 

MinFlux 3D unrivaled resolution and speed

MINFLUX, or minimal fluorescence photon fluxes microscopy, is a super-resolution light microscopy method that offers nanometer-scale 3D-imaging and microsecond-range single molecule tracking and can attain 1–3 nm resolution in three dimensions

We are excited to announce that our imaging facility has a state-of-the-art Abberior MinFlux system available for demonstation November 11-15. The system will also be part of the OIC functional imaging course in the same week.
The demonstration will be concluded with a whole day NVvM MinFlux workshop on Monday November 18, 2024.

More information about the workshop, demonstration period and the registration can be found here.

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Course OIC News

Functional imaging & super resolution course

Registration is not longer possible for our PhD functional imaging and super-resolution course on November 11-15 2024.

The course is full, your registration will be placed on a waiting list. The course will be organized again in the fall of 2025.

This intensive course of one week gives an overview of the rapidly developing advanced fluorescence imaging methods and how they are used in biomedical research in a combination of lectures and hands-on practicals at our microscopes.

More information about the course and the registration form can be found via this link.

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Course OIC News

OIC course Microscopic Image Analysis

On Monday and Tuesday Jan 29th-30th 2024 the OIC organizes in cooperation with the Erasmus MC graduate school the two-day Image analysis course “Microscopic Image Analysis: From Theory to Practice”. This course focuses on first time users and explains the basis of image analysis and how to use this in Fiji (ImageJ).

Course description 

Microscopic images contain much more information than normally is retrieved. Extracting this information by visual inspection and manual measurement is not only cumbersome but also subjective. Automation of image analysis tasks by using a computer and the right software tools allows for higher efficiency, accuracy, objectivity, reproducibility, and completeness. 

Requirements 

Participants should bring their own laptop to the course for the practical exercises. Software and sample image data will be provided during the course. No prior knowledge of image processing is required. Participants have the opportunity to bring their own image data and directly apply the newly acquired image analysis techniques. 

Image Analysis (Fiji)