Author: Nemoz, C.
Paper Title Page
TUPHA183 An Interactive Workflow to Manage Tomography Experiments at ESRF 857
 
  • H. Payno, C. Nemoz
    ESRF, Grenoble, France
 
  At the ESRF the ac­tiv­ity of sev­eral beam­lines is based upon to­mog­ra­phy X-ray imag­ing in var­i­ous fields such as Pa­le­on­tol­ogy, Med­ical Imag­ing and Ma­te­ri­als Sci­ence. The in­stru­ment con­trol and data pro­cess­ing sys­tems are cloned on all the rel­e­vant beam­lines, how­ever the steps of the pro­cess­ing pipeline from the data ac­qui­si­tion to their full ex­ploita­tion in pre­mier qual­ity pub­li­ca­tions are based upon a het­ero­ge­neous soft­ware sce­nario com­prised of e.g. SPEC, Python, Oc­tave, PyH­ST2 and MAT­LAB mod­ules. The need has thus clearly ap­peared to log­i­cally se­quence the op­er­a­tions per­formed by these dif­fer­ent ac­tors into user-friendly work­flows. At the ESRF we se­lected a generic work­flow tool, Or­ange, which was orig­i­nally de­vel­oped at the Uni­ver­sity of Ljubl­jana and de­signed for data min­ing in col­lab­o­ra­tion with the open source com­mu­nity. The graph­i­cal in­ter­face en­ables the easy in­clu­sion/ex­clu­sion of func­tion­al­i­ties rep­re­sented by in­di­vid­ual boxes. Each box can be man­aged by sim­ple pieces of Python code gen­er­at­ing graph­i­cal in­ter­faces via the PyQT5 li­brary and is de­fined by a set of in­puts and out­puts which can be linked to­gether to pro­duce con­sis­tent data pro­cess­ing work­flows.  
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DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA183  
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