There are a number of ways to view your data including from the home page which shows your previous and next visits, and from the visits page which shows all visits for the currently selected proposal. Click a visit to see data collections associated with it.
Using either of these methods will show a list of data collections for a particular visit
From a data collection you can:
ISPyB shows a preview of grid scans and the diffraction measured in those grid scans. If X-ray centering is being used then two grid scans are seen per sample.
It is possible to view the diffraction from each grid square, but these are low resolution JPEGs which should not be used to solely judge diffraction:
As with other data collection types, edge scans can be selected from the top bar for the visits.
As with other data collection types, MCA spectra can be selected from the top bar for each visits. The spectra is the result of AutoPyMCA, and higlights the element and edge associated with each peak.
Summaries of all data from a visit can be obtained, which may be useful for comparing different crystals in the same project.
The autoprocessing interface can be used to look at data processed for multiple sweeps of the same crystal, or multiple crystals. These are found under xia2.multiplex, and the n Data Sets button takes to the datasets contributing to that autoprocessed result.
Each sample load is given a summary, It details the sample, images of the sample environment and the loop.
Each autoprocessing routine can be compared using plots of resolution versus paramets such as CC 1/2, number of observations etc. Plots of these parameters can be reached using the plots button in each autoprocessing overview:
This bring up a plotiing interface. All parameters are plotted with resolution on the x-axis (currently this is not labelled).
Multiple programs can be compared, including autoprocessing run on multiple crystals or multiple sweeps:
Or by introducing two parameters with different scales, multiple y scales are shown:
For easier discussion of specific datasets within your group, the permalink can take you to a specific dataset. It is reached by clicking the chain like link on a dataset/ grid scan/ edge scan.
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