In this episode, recorded a few days after the bioarxiv paper was released in March 2020, Dari expands on his work developing a set of biological priors using machine learning, which can then be used to regularize cryoEM reconstruction/refinement.
We go beyond just the math and the methods and discuss the real what and why with respect to the motivation and prospects of this work.
"Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination"
https://www.biorxiv.org/content/10.1101/2020.03.25.007914v1or
Now published in IUCrJ doi: 10.1107/S2052252520014384
