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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Beam Time Allocation Plexxikon UC Berkeley 25% 5% 10% 8%
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Beam Time Allocation UC Berkeley 25% 10% 8% 5% 2% Plexxikon General User Program
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Staff George Meigs Senior Research Associate James Holton Beamline Director Jane Tanamachi Administrator Tom Alber Principal Investigator PRT Member Labs PRT Contractees
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Staff Group photo?
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Funding for ALS 8.3.1 FY 2006 costTotal costEnd date ContractsU Alberta$200,000$800,00001/07 MD Anderson$116,000$748,00007/08 Plexxikon$150,000$1.25 M02/07 UCSD$35,000$145,0002011 GrantsUCSF NIH Center grant $80,000$320,0006/10 DOE IDAT (SIBYLS)$84,000TBD9/09 NIH STTR (Fluidigm)$28,200$141,0007/08 Total$693,200$3.4 M-
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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ADSC Quantum 210 X-ray optics Superbend Plane Parabolic mirror Torroidal mirror Si(111) monochromator Protein Crystal pinhole Scatter guard 2:1 demagnification cancels spherical aberrations comparable flux to a wiggler with < 1% of the heat divergence slits
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ADSC Quantum 210 X-ray optics Superbend Plane Parabolic mirror Torroidal mirror Si(111) monochromator Protein Crystal pinhole Scatter guard 2:1 demagnification cancels spherical aberrations comparable flux to a wiggler with < 1% of the heat divergence slits
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Zero-parallax optics pinhole prism microscope Styrofoam™ backlight backstop
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Zero-parallax optics pinhole prism microscope Styrofoam™ backlight backstop
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Background scattering at 8.3.1 Resolution (Ǻ) Photons/s/pixel Se edge with detector at 100 mm 7.5 3.8 2.5 1.9 1.5 1.2 1.1
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Future plan: reduce background Laser machining of cold protein crystal H. Kitano et. al. Jpn. J. Appl. Phys. 44,2 L 54–L 56 (2005)
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Future plan: optimize samples Laser machining of cold protein crystal H. Kitano et. al. Jpn. J. Appl. Phys. 44,2 L 54–L 56 (2005)
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Safety Management Hardware safety systems Training Safety through simplicity Failsafe envelope Examples: –Liquid nitrogen – better tools –Automatic retraction – eliminate confusion –Automatic backup – eliminate distraction
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Safety Envelope Radiation Safety System (RSS) Personnel Protection System (PSS) Equipment Protection System (EPS) GERT Training 8.3.1 Training experiment
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Safety Envelope Radiation Safety System (RSS) Personnel Protection System (PSS) Equipment Protection System (EPS) GERT Training 8.3.1 Training experiment
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Safety Envelope “There is no safety system that can stop a determined user with a hacksaw” -Anonymous Solution: Create tools that enhance productivity within the safety envelope
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Example 1: Liquid nitrogen
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Liquid nitrogen safety concern
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A safer way
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Safer and more productive!
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Example 2: Automatic detector retraction ADSC Quantum 210
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Detector retraction ADSC Quantum 210
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Detector retraction ADSC Quantum 210
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Automatic detector retraction Detector motors are disabled with hutch door open (pinch hazard) Sample is difficult to access with detector in data collection position Common mistake: –forget to retract detector before opening door Result: confusion Solution: –Door will not open with detector forward –Detector automatically retracts on door open attempt
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March 2003 MOTOROLA and the Stylized M Logo are registered in the US Patent & Trademark Office. All other product or service names are the property of their respective owners. © Motorola, Inc. 2002. Distraction is unsafe! 0.8 1.0 1.2 1.4 1.6 1.8 2468 Distance from the lead vehicle (secs.) Median time to lift foot off accelerator (secs.) Distraction Condition No-Distraction Condition 0.8 1.0 1.2 1.4 1.6 1.8 2468 Distance from the lead vehicle (secs.) Median time to lift foot off accelerator (secs.) Distraction Condition No-Distraction Condition Drivers following a car that suddenly brakes take longer to respond to that event when they are distracted by trying to solve a logic problem. This is especially true if the two vehicles start out close together--when it is critical that the driver in the following vehicle make a rapid response to avoid a rear-end collision.
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Automated firewire drive backup
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Automated DVD archive
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Safety Summary Encourage safe practices by making them the best way to get results Measures are in addition to existing ALS safety envelope Better science and better safety go hand in hand
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Software BLU-ICE 3.0 control system Elves integrated with BLU-ICE ALS-wide beamline health monitor
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DCS server SSRL DCS 3.0 DHS
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DCS server SSRL DCS 3.0 at the ALS beamline 8.3.1 Energy Divergence steering Foils plungers lights Detector Collimator beamstop Spindle Goniometer shutter ADSC Q210 detector DHS Wago DHS PMAC1 DHS PMAC2 DHS LabView DHS
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Touch screen
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DCS server SSRL DCS 3.0 at the ALS beamline 8.3.1 Energy Divergence steering Foils plungers lights Detector Collimator beamstop Spindle Goniometer shutter ADSC Q210 detector DHS Wago DHS PMAC1 DHS PMAC2 DHS LabView DHS
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DCS server SSRL DCS 3.0 at the ALS beamline 8.3.1 Energy Divergence steering Foils plungers lights Detector Collimator beamstop Spindle Goniometer shutter ADSC Q210 detector DHS Wago DHS PMAC1 DHS PMAC2 DHS LabView DHS
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Integration of Elves with BLU-ICE Elves structure solution data collection index Wedger Elves mosflm autoindex strategy most recent image run information
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Integration of Elves with BLU-ICE Elves structure solution data collection process run information pick un-busy cluster node mosflm scala solve ARP/wARP
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ALS beamline health monitor
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ALS lN 2 health monitor
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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Beamline 8.3.1 PRT organization Funding Hardware Safety management Control system Scientific productivity
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How many are we solving? Jiang & R.M. Sweet (2004)
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SecondsDescriptionPercent 104490Assigned and available91% 42093Shutter open40% 52684Collecting (3026 images)50% 51806Something else50% Operational Efficiency “representative” 8.3.1 user
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SecondsDescriptionPercent 51806Something else100% 247s 45 Mounting22% 229s 37 Centering16% 179s 109 Strategizing38% 309s 37 Prepping24% Operational Efficiency “representative” 8.3.1 user
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NumberDescriptionPercent 446028Images (~7 TB)33% 2346Data sets47% 449MAD/SAD (1:2)19% 48Published2% 8.3.1 in 2003 Turning data into models
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Top producing beamlines of the world http://asdp.bnl.gov/asda/Libraries/pdb_statis/latest/bml/ALL.html Structures credited
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Top producing beamlines of the world http://asdp.bnl.gov/asda/Libraries/pdb_statis/latest/bml/ALL.html x10 6 unique HKLs
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Top producing beamlines of the world http://asdp.bnl.gov/asda/Libraries/pdb_statis/latest/bml/ALL.html http://biosync.sdsc.edu/ Structures/10 20 photons
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Overlaps Signal to noise Radiation Damage Why do structures fail?
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Overlaps Signal to noise Radiation Damage Why do structures fail?
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Apr 6 – 24 at ALS 8.3.1 Elven Automation 148datasets 117succeded ~3.5 (0.1-75)hours 31 failed ~61 (0-231)hours 2 / 15MAD structures
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avoiding overlaps c c
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Overlaps Signal to noise Radiation Damage Why do structures fail?
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Overlaps Signal to noise Radiation Damage Why do structures fail?
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Apr 6 – 24 at ALS 8.3.1 Elven Automation 148datasets 117succeded ~3.5 (0.1-75)hours 31failed ~61 (0-231)hours 2 / 15MAD structures
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“What is a good exposure time?”
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“How much signal do I need?”
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Is it real, or is it MLFSOM ?
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MAD phasing simulation Anomalous signal to noise ratio Correlation coefficient to correct model mlphare results
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SAD phasing simulation Anomalous signal to noise ratio Correlation coefficient to correct model mlphare results
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Minimum required signal (MAD/SAD)
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SAD phasing experiment Anomalous signal to noise ratio Correlation coefficient to published model
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“We really need those high-resolution spots”
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Incremental strategy incremental_strategy.com merged.mtz auto.mat
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“We have a problem with non-isomorphism”
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Proteins move
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Overlaps Signal to noise Radiation Damage Why do structures fail?
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Overlaps Signal to noise Radiation Damage Why do structures fail?
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thaw Radiation Damage
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Lattice damage
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Distention of cryo with dose before beam
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Distention of cryo with dose after beam
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Water ring shift Absorbed dose (MGy) Water ring position (Ǻ) saturated sucrose in 250mM WO4
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Water ring shift bubbles? Richard D. Leapman, Songquan Sun, Ultramicroscopy (1995)
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Water ring shift Hydrogen bubbles? Richard D. Leapman, Songquan Sun, Ultramicroscopy (1995)
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Specific Damage
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Individual atoms decay at different rates dose (MGy) Correlation coefficient to observed data 0 12 24 36 48 60
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Damage changes absorption spectrum Photon energy (eV) counts 1 0
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fluorescence probe for damage fluence (10 15 photons/mm 2 ) Fraction unconverted 25mM SeMet in 25% glycerol 0.0 0.2 0.4 0.6 0.8 1.0 0 50 100 150 200 250 300 350 400 Exposing at 12680 eV
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fluorescence probe for damage fluence (10 15 photons/mm 2 ) Fraction unconverted 25mM SeMet in 25% glycerol 0.0 0.2 0.4 0.6 0.8 1.0 0 50 100 150 200 250 300 350 400 Exposing at 12680 eV Se cross-section at 12680 eV
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fluorescence probe for damage Absorbed Dose (MGy) Fraction unconverted Wide range of decay rates seen 0.0 0.2 0.4 0.6 0.8 1.0 0 50 100 150 200 Half-dose = 41.7 ± 4 MGy “GCN4” in crystal Half-dose = 5.5 ± 0.6 MGy 8 mM SeMet in NaOH Protection factor: 660% ± 94%
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Scientific highlights
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