Planned is a series of 21 video lectures. Of these, 11 are now posted as “beta” versions.
The videos are available in a playlist on YouTube here. I like watching lectures on YouTube because I can increase the playback speed when needed :-)
You can view or download the lectures here. Links for downloading individual lectures can be found below.
Thanks for viewing! Please add your comments or corrections in the comment field of the YouTube pages or on the video page, or email to fred.sigworth@yale.edu
Introductory lectures
1.1 Two astonishing phenomena make single-particle reconstruction possible.
1.2 Two severe problems limit what cryo-EM can do.
1.3* The microscope
Preliminaries
2.1 Complex numbers and the complex exponential
2.3a The Fourier transform in one dimension
2.3b Fourier transform: convolution, sampling and Nyquist
2.4 The Fourier transform in two and three dimensions
2.5* Initial 3D models from common lines and Random Conical Tilt
2.6* Electron tomography
Cryo-EM image processing
3.1b Random variables in cryo-EM
3.2 Correlation and power spectrum
3.3* CTF estimation and Wiener filter
3.4* Frealign
Statistical estimation theory and reconstruction
4.1 Forward model of EM image formation
4.2* The E-M algorithm
4.3* Relion
4.4* Classification
Evaluation of single-particle results
5.1* Resolution measures
5.2* Validation methods
* Tentative titles for coming lectures
Link to the download server: all videos