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@ARTICLE{Patel:618810,
      author       = {Patel, Jaydeep and Round, Adam and de Wijn, Raphael and
                      Vakili, Mohammad and Giovanetti, Gabriele and Melo, Diogo
                      Filipe Monrroy Vilan e and E, Juncheng and Sikorski, Marcin
                      and Koliyadu, Jayanth and Koua, Faisal H. M. and Sato,
                      Tokushi and Mancuso, Adrian and Peele, Andrew and Abbey,
                      Brian},
      title        = {{R}eal-time analysis of liquid jet sample delivery
                      stability for an {X}-ray free-electron laser using machine
                      vision},
      journal      = {Journal of applied crystallography},
      volume       = {57},
      number       = {6},
      issn         = {1600-5767},
      address      = {Chester, UK},
      publisher    = {Wiley-Blackwell},
      reportid     = {PUBDB-2024-07164},
      pages        = {1859-1870},
      year         = {2024},
      abstract     = {Automated evaluation of optical microscopy images of liquid
                      jets, commonlyused for sample delivery at X-ray
                      free-electron lasers (XFELs), enables real-time tracking of
                      the jet position and liquid jet hit rates, defined here as
                      theproportion of XFEL pulses intersecting with the liquid
                      jet. This method utilizesmachine vision for preprocessing,
                      feature extraction, segmentation and jetdetection as well as
                      tracking to extract key physical characteristics (such as
                      thejet angle) from optical microscopy images captured during
                      experiments. Todetermine the effectiveness of these tools in
                      monitoring jet stability andenhancing sample delivery
                      efficiency, we conducted XFEL experiments withvarious sample
                      compositions (pure water, buffer and buffer with
                      crystals),nozzle designs and jetting conditions. We
                      integrated our real-time analysisalgorithm into the Karabo
                      control system at the European XFEL. The resultsindicate
                      that the algorithm performs well in monitoring the jet angle
                      andprovides a quantitative characterization of liquid jet
                      stability through opticalimage analysis conducted during
                      experiments},
      cin          = {$XFEL_E1_SPB/SFX$ / FS-CFEL-1},
      ddc          = {540},
      cid          = {$I:(DE-H253)XFEL_E1_SPB_SFX-20210408$ /
                      I:(DE-H253)FS-CFEL-1-20120731},
      pnm          = {631 - Matter – Dynamics, Mechanisms and Control
                      (POF4-631) / 6G13 - Accelerator of European XFEL
                      (POF4-6G13)},
      pid          = {G:(DE-HGF)POF4-631 / G:(DE-HGF)POF4-6G13},
      experiment   = {EXP:(DE-H253)XFEL-Exp-20150101},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {39628876},
      UT           = {WOS:001387959000015},
      doi          = {10.1107/S1600576724009853},
      url          = {https://bib-pubdb1.desy.de/record/618810},
}