We do not expect any statistics, mathematics, or computational for learners using cryoEDU. We do suggest that you are familiar with undergraduate biochemistry since cryoEM and cryoET are techniques that characterize how biological macromolecules function in vitro and in vivo. For a refresh, or for new students, we recommend ‘Principles of Biochemistry‘ on HarvardX/edX or  ‘Biochemistry‘ on Open Learning Initiative. 

Since cryoEDU focuses on teaching learners how to analyze cryoEM/ET data, we recommend using other online resources to learn theoretical foundations in cryoEM/ET: 

• EM-learning.com
• cryoEM101.org
• CryoEM Principles

Check back later for more content and how to start the course.

In this chapter, we describe data curation strategies for cryoEM and cryoET to cover the following topics: 

• Micrograph curation
• 2D classification
• Assessing tomographic reconstructions

Go to Chapter 2 Course HERE

Check back later for more content and how to start the course.

Check back later for more content and how to start the course.