Micrograph curation
Understand which micrographs are worth processing and which are not worth the effort (e.g., broken, over-focused, mis-targeted, empty (vacuum or ice-only), cubic or non-vitreous ice, leopard skin, etc.)
Chapter 2: Data Curation
Chapter 2: Data Curation
Learning goals
This chapter will help you to understand why input data curation is critical for cryoEM/ET, what happens when ‘bad’ data are not removed, and the appropriate parameters to ensure proper data ‘cleaning.’
Expected outcomes
At the end of this chapter, you will:
- Understand why bad micrographs and bad particles must be removed ahead of 3D analysis
- How tomographic reconstructions are affected by improper fiducial alignment
Recommended online materials
Contrast transfer function (CTF)
Guiding questions: What is defocus & why do we need to correct for it?
- Grant Jensen – Defocus & its affects
- Grant Jensen – CTF correction
- CryoEM Principles – Fourier transform: convolution, sampling and Nyquist
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