Home > Publications database > Real-time analysis of liquid jet sample delivery stability for an X-ray free-electron laser using machine vision |
Journal Article | PUBDB-2024-07164 |
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2024
Wiley-Blackwell
Chester, UK
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Please use a persistent id in citations: doi:10.1107/S1600576724009853 doi:10.3204/PUBDB-2024-07164
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
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