MS details

The schedule is available at https://www.conftool.com/iucr2020/

High troughput vs. careful planning: How to get the best data?

Comments

The experimental data (diffraction intensities, EM images, etc.) are obviously the primary source for all subsequent elucidation of macromolecular structures. The highest possible quality of these data is therefore of crucial importance. Many user-friendly and automatic programs are available for measuring and quality-estimation of data obtained by various techniques, but it is sometimes not clear which factors play most important roles for the veracity and accuracy of the final structural models. However, the tendency to perform the experiments quickly and automatically contradicts to some extent the necessity of carefully selecting the optimal experimental strategy. The presentations in this session will discuss the influence of various factors on the final result and advice how to efficiently plan experiments for obtaining optimal data, leading to stuctural models of best possible quality.

Chair persons

Name	Family	Institution	City	Country	Region
Alex	Hexemer	Lawrence Berkeley National Laboratory	Berkeley	USA	ACA

Invited speakers

Name	Family	Institution	City	Country	Title
Aina	Cohen	InformationStanford Synchrotron Radiation Lightsource	Menlo Park	USA	Next-generation Automation and Remote-access Crystallography
Danny	Axford	Diamond Light Source	Didcot	UK	Strength in Numbers: Exploiting the space between single crystal oscillation and serial femtosecond crystallography
Petrus	Zwart	Lawrence-Berkeley Natl. Lab.	Berkeley	USA	Towards High-Throughput Autonomous Infrared Spectromicroscopy