VENUE
Hybrid course.
December 10 – 13, 2024 from 16:00 to 21:30 CET.
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Overall aims and course outline
By using image processing algorithms, it becomes possible to pinpoint the macromolecules of interest within the electron tomograms. Subsequently, researchers can extract small subtomograms from these locations and identify similar particles, facilitating their averaging and the recognition of diverse conformations. This process, referred to as subtomogram averaging, has played a pivotal role in elucidating an increasing number of macromolecular structures, achieving resolutions ranging from 20 to 3 A.
The course is designed to offer a comprehensive overview of the whole image processing workflow in Electron Tomography (ET). This includes tasks such as aligning the tilt series, reconstructing 3D tomograms, identifying particles, performing subtomogram averaging or even to perform a tomogram segmentation, all inside Scipion integration framework.
With the experience gained in the organisation of virtual and in-person courses, we intend to organise this course in a hybrid format. We will be able to accommodate up to 20 individuals for in-person attendance. However, other 20 participants will attend remotely. In total, we can host 40 attendees.
The course is aimed at researchers of all levels wanting to adopt electron microscopy as one of the tools at their disposal for elucidating biological structures
For more information see: