Speaker
Dr
Alberto Bartesaghi
Description
Automated protocols for data acquisition used in modern cryo-EM facilities combined with the newer generation of larger and faster cameras have dramatically increased the throughput of data collection, exacerbating the need to develop effective strategies for structure determination that can operate without a user in the loop in order to keep up with the rate of data production. I’ll present data-driven computational strategies we are using to enable the unsupervised execution of the single-particle cryo-EM reconstruction pipeline and show several examples where the results produced by these methods match the resolution of maps obtained by experienced users.