Single particle Cryo-EM image processing
National course open for PhD students, postdocs, researchers and other employees in need of cryo-EM data analyses skills within all Swedish universities.
The course is organized by the SciLifeLab Cryo-EM core facility.
This course provides a theoretical and practical introduction to cryo-EM image processing. It consists of morning lectures and computational image processing practicals in the afternoon. It focuses mainly on single particle cryo-EM data analysis and will not cover cell tomography. The course is aimed to PhD student or researchers in general that already have cryo-EM data or are planning a cryo-EM single particle study in the near future. Upon completion of the course, attentive participants will be able to plan cryo-EM experiments and run most common cryo-EM image analyses from single particles to 3D classification and refinement.
Application open: May 30
Application deadline: September 10
Acceptance confirmation: September 12
If you do not receive information according to the above dates please contact: email@example.com
Course organizer: Marta Carroni.
Location: Auditorium Air and Fire, and room Milky Way
- Concepts of TEM and image formation
- EM-sample preparation
- Concepts of Fourier analysis and CTF
- Data acquisition: what to consider
- Cryo-electron microscopy with the Volta phase
- Particle selection
- 3D volume refinement
- Model building
- Subtomogram averaging
The course contains a voluntary social program for networking purposes (includes the coffee, lunches and one course dinner with teaching experts). A course fee of 1800 SEK will be invoiced to accepted participants that attend the social program, after completion of the course. NOTE – we cannot invoice individuals.
Participants must be PhD students, postdocs or PI that are or are going to be directly involved in cryo-EM data processing for structure determination. Previous knowledge of cryo-EM and/or having an ongoing cryo-EM project is desirable.
Among the applicants, 30 participants will be selected based on correct entry requirements, motivation to attend the course, as well as gender and geographical balance.