Towards real-time analysis of liquid jet alignment in SFX

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dc.contributor.authorPatel, Jen_AU
dc.contributor.authorPeele, AGen_AU
dc.contributor.authorAbbey, Ben_AU
dc.contributor.authorRound, APen_AU
dc.contributor.authorMancuso, Aen_AU
dc.date.accessioned2023-09-26T01:56:37Zen_AU
dc.date.available2023-09-26T01:56:37Zen_AU
dc.date.issued2021-11-25en_AU
dc.date.statistics2023-09-26en_AU
dc.description.abstractSerial femtosecond crystallography (SFX) enables atomic scale imaging of protein structures via X-ray diffraction measurements from large numbers of small crystals intersecting intense X-ray Free Electron Laser (XFEL) pulses. Sample injection typically involves continuous delivery of crystals to the pulsed XFEL beam via a liquid jet. Due to movement of the jet, which is often focused to further reduce its diameter using a gas virtual dynamic nozzle (GVDN), jet position is often adjusted multiple times during the experiment. This can result in loss of beamtime and significant manual intervention. Here we present a novel approach to the problem of liquid jet misalignment in SFX based on machine vision. We demonstrate automatic identification and classification of when there is overlap (‘hit’) and when there is not overlap (‘miss’) between the XFEL beam and jet. Our algorithm takes as its input optical images from the ‘side microscope’ located inside the X-ray hutch. This algorithm will be incorporated into the control system at the SFX/SPB beamline at the European XFEL where it will be used for in-situ ‘alignment correction’ via a continuous feedback loop with the stepper motors controlling the location of the nozzle within the chamber. Full automation of this process will result in a larger volume of useful data being collected. By increasing the efficiency and reducing the per experiment operational cost of SFX at the European XFEL a higher volume of experiments can be performed. In addition, via analysis of the feedback metrology we anticipate that optimised nozzle designs and jetting conditions could be achieved further benefitting the end user.en_AU
dc.identifier.articlenumber62en_AU
dc.identifier.citationPatel. J., Peele, A., Abbey, B., Round, A., & Mancuso, A. (2021). Towards real-time analysis of liquid jet alignment in SFX. Poster presented to the ANSTO User Meeting, Online, 24-26 November 2021. Retrieved from: https://events01.synchrotron.org.au/event/146/contributions/4226/contribution.pdfen_AU
dc.identifier.conferenceenddate2021-11-26en_AU
dc.identifier.conferencenameANSTO User Meeting 2021en_AU
dc.identifier.conferenceplaceOnlineen_AU
dc.identifier.conferencestartdate2021-11-24en_AU
dc.identifier.urihttps://events01.synchrotron.org.au/event/146/contributions/4226/contribution.pdfen_AU
dc.identifier.urihttps://apo.ansto.gov.au/handle/10238/15129en_AU
dc.language.isoenen_AU
dc.publisherAustralian Nuclear Science and Technology Organisationen_AU
dc.relation.urihttps://events01.synchrotron.org.au/event/146/contributions/4226/contribution.pdfen_AU
dc.subjectCrystallographyen_AU
dc.subjectProteinsen_AU
dc.subjectX-ray diffractionen_AU
dc.subjectCrystalsen_AU
dc.subjectBeamsen_AU
dc.subjectJetsen_AU
dc.subjectAlgorithmsen_AU
dc.subjectImagesen_AU
dc.subjectMeasuring instrumentsen_AU
dc.titleTowards real-time analysis of liquid jet alignment in SFXen_AU
dc.typeConference Posteren_AU
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