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Investigating metal organic systems with time-resolved photocrystallographyposes a unique challenge while interpreting the time dependent photodifferencemaps. In these difference Fourier maps, the signals correspond to the movementof heavy metal atoms always overpower the signals from much lighter atomsattached to them. For a systematic assessment of the quality of thephotodifference maps obtained from metal organic systems, in this work,LaueUtil and PRECOGNITION software were used to treat time-resolved Lauecrystallography data of a [2x2] matrix-like Fe(II) complex. The rigid spotidentification method in LaueUtil allows to identify and index > 250,000reflections per 10 datasets. Though this leads to low completeness (< 30%), thesoftware only treats the information from highly reliable diffraction spots. Asa result, clean photodifference maps and small values in the thermal scalefactor have been obtained. In the PRECOGNITION case, the package indexed morethan 160,000 reflections per dataset. The resulting completeness is higher(>86%) and useful photodifference maps can be obtained by careful datatreatment. However, the dependence on the refinement of the lambda curve aswell as the degradation of the sample may be reflected on the large thermalscale factors which also contribute as noise in the photodifference maps.

A Comparative Analysis on LaueUtil and PRECOGNITION Software Packages as  Tools in Treating the Small Molecule Time-Resolved Laue Diffraction  Measurements at High Flux X-ray facilities