CrysAlisᴾʳᵒ Tip: How to Repair a Dataset with Corrupted Images

Has your diffraction dataset become unreadable because a few image files were corrupted during copying or downloading?

Pierre demonstrates how to quickly identify the problem and use the built-in Repair Dataset function in CrysAlisᴾʳᵒ to restore damaged image headers so data reduction can continue without reacquiring the experiment.

In this video, you'll learn:

ow to recognize corrupted image errors
Where to find the Repair Dataset function
How CrysAlisᴾʳᵒ repairs only the affected images >
How to verify that the repaired dataset processes normally

This quick workflow can save valuable experimental time by recovering datasets that would otherwise fail during processing.

Presenter

Pierre Le Magueres, PhD | Single Crystal Lab Manager, Life Sciences

Rigaku Americas Coporation | Texas, USA

Dr. Pierre Le Maguerès obtained a Ph.D. in physical chemistry and small molecule crystallography at the University of Rennes (France) in 1995, working under Dr. Lahcene Ouahab on the synthesis and analysis of molecular materials combining inorganic polyoxometalates and organic cation radicals based on tetrathiofulvalene derivatives. From 1996 to 2000, Dr. Le Maguerès worked as a postdoctoral researcher with renowned Prof. Jay Kochi at the University of Houston, where he pursued his work on the synthesis and X-ray characterization of air-sensitive cation radicals and charge transfer complexes. In 2000, deciding to broaden his horizons and learn protein crystallography, Dr. Le Maguerès joined the biochemistry department at the University of Houston and worked as a postdoctoral researcher with Prof. Kurt Krause on the design and X-ray characterization of potential new inhibitors for alanine racemase, a protein essential for the growth of infectious diseases such as tuberculosis. Want to learn more? Connect with Pierre Le Magueres, PhD LinkedIn .