Automation of MX data collection and processing

Advances in Accuracy and Automation of Data Collection and Processing

Macromolecular Crystallography is expanding rapidly, with respect to the number of molecules studied and their significance to biology and medicine. This expansion is enabled by faster acquisition of high quality diffraction data, the development of efficient X-ray detectors and the expanded availability of high brilliance X-ray beam lines at synchrotron radiation facilities.

Data collection and processing

Automation of the collection and processing of X-ray diffraction data -- a generic approach.

With modern detectors and synchrotron sources, it is now routine to collect complete data sets in 10-30 min. To make the most efficient use of these resources, it is desirable to automate the collection and processing of the diffraction data, ideally to a level at which multiple data sets can be acquired without any intervention. A scheme is described to allow fully automated data collection an...

MicroED data collection and processing

MicroED, a method at the intersection of X-ray crystallography and electron cryo-microscopy, has rapidly progressed by exploiting advances in both fields and has already been successfully employed to determine the atomic structures of several proteins from sub-micron-sized, three-dimensional crystals. A major limiting factor in X-ray crystallography is the requirement for large and well ordered...

Automation of Data Collection for Pwas-based Structural Health Monitoring

Crack detection through piezoelectric wafer active sensors (PWAS) [1] is emerging as an effective and powerful technique in structural health monitoring (SHM). Because of the piezoelectric properties of the PWAS, they act as both transmitters and receivers of guided Lamb waves for such applications. With arrays of PWAS attached to the structure, excitation signals are sent to one of the PWAS an...