Beyond the potential - Cryo TEM-EELS for bio samples - CCP4-EM Spring Symposium 2021 - CCP-EM
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
CCP4-EM Spring Symposium 2021 Beyond the potential – Cryo TEM-EELS for bio samples Matthias Wolf © Okinawa Institute of Science and Technology Graduate University 2020
Matthias Wolf Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan Academia Sinica, Institute of Biological Chemistry, Taiwan Makoto Tokoro Schreiber Direct PhD student in Wolf Unit – will graduate this year! Alan Maigné Detection Stewart Blossom Quantum Science Institute, UBC, Canada TEM-EELS Research Support Acknowlegments Maigné, A., and Wolf, M. (2018). Low-dose electron energy-loss spectroscopy using electron counting direct detectors. Microscopy (Oxford, UK) 67, i86–i97. Meshcheryakov et al (2019). High-resolution archaellum structure reveals a conserved metal binding site. EMBO Reports. 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 2
“Images in TEM are projections of a 3D object” The New Yorker February 25th, 1991 by John O'Brien and Frank J., 3D-EM of macromolecular assemblies, Assoc. Press, 1996 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 3
For a typical cryo-EM 3D reconstruction, two assumptions are made: The image is a projection of a thin phase object The image is a true projection …of a pure phase object • object has zero thickness • image is a result only of elastic (“thin”) scattering In reality, this is not the case The image is NOT a true projection It is NOT a thin phase object • it has thickness in Z • it is a combination of both elastic and • Partial solution: Ewald sphere inelastic scattering correction • Partial solution: zero-loss energy filter • Exit wavefront reconstruction 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 4
TEM beam interaction with specimen and signals Gatan EELS School, 2016 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 5
Electron Energy-Loss (EEL) at atomic scale Gatan EELS School, 2016 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 6
Structure and energy levels of specimen electrons Gatan EELS School, 2016 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 7
Typical Electron Energy Loss Spectrum (EELS) Gatan EELS School, 2016 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 8
Dual camera EELS setup at OIST Gatan Orius plus K2 Summit direct electron counting in movie mode 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 9
Unique GIF dual-camera setup on OIST Titan Krios Orius K2 Sensors on same mechanical plane pixels 2048 x 2048 3838 x 3710 Pixel size 7.4 µm 5 µm fastest full ~0.1 s 0.025s frame read ~10 fps 40fps Orius out CCD camera Use -Alignments -high -calibration sensitivity/ reference framerate Detector -zero-loss recording housing recording K2 DED camera Crozier P.A., Miller B.K. (2016) Spectroscopy of Solids, Gases, and Liquids in the ETEM. In: Hansen T., Wagner J. (eds) Controlled Atmosphere Transmission Electron Microscopy. Springer, Cham. https://doi.org/10.1007/978-3-319-22988-1_4 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 10
Center beam in ice hole M.T. Schreiber 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 11
EELS spectrum on camera (K2 counting, movie mode) Longer edge of K2 Shorter edge of K2 Crop spectral signal Energy loss direction To reduce file size M.T. Schreiber 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 12
Signal depends on how channels are summed Single 0.025s frame Sum of 2400 0.025s (30s) frames Line profile single channel Line profile single channel pixels pixels 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 13
Signal depends on how channels are summed Single 0.025s frame Sum of 2400x 0.025s (30s) frames Line profile sum ~330 channels Line profile sum ~330 channels pixels pixels M.T. Schreiber 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 14
Same area, same dose on two different cameras Orius 0.5s exposure K2 sum of 10x 0.05s (0.5 s) exposure Carbon K-edge Oxygen K-edge Carbon K-edge Oxygen K-edge 284 eV 532 eV 284 eV 532 eV Energy loss (eV) pixels M.T. Schreiber 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 15
Calibrating K2 Energy loss direction K2 sensor length along energy Orius dispersion direction is slightly K2 longer than on Orius Orius • Known peaks at low energy losses (ex. C, O) used to calibrate K2 spectrum • New calibration for each energy shift and dispersion used K2 • Frequently check ZLP centered on Orius M.T. Schreiber 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 16
28 26 24 Carbon K-edge 22 284 eV Oxygen K-edge 20 532 eV 18 16 14 Nitrogen K-edge 12 401 eV 10 8 6 4 2 0 250 300 350 400 450 500 550 600 650 700 750 eV 20 18 16 14 12 10 8 6 Magnesium K-edge 4 1305 eV 2 0 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 2 0 2 1 / 4 / 2 4 eV © Okinawa Institute of Science and Technology Graduate University 2020 17
With caution can measure low-loss regimen 1s at 40 fps spot 11 Plasmon peak Possibly Hydrogen K-edge ~13 eV M.T. Schreiber 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 18
General points • For lower energy shift / higher dispersion, use faster frame rate, more channels and lower dose rate • For high energy shifts can use lower frame rates and more dose. • Need to test dose on camera before full measurement • The more concentrated the sample the better 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 19
Metal identification in archaeal filaments Gas composition during radiolysis Applications DED EFTEM-spectrum imaging of vitrified bio samples 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 20
Cryo-EM of Methanococcus maripaludis filaments (“archaella”) Meshcheryakov et al (2019). High-resolution archaellum structure reveals a conserved metal binding site. EMBO Reports. 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 21
Methanococcus FLAB1 X-ray and cryo-EM structures X-ray (1.5 Å resolution) cryo-EM (4.0 Å resolution) Meshcheryakov et al (2019). High-resolution archaellum structure reveals a conserved metal binding site. EMBO Reports. 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 22
Low-dose DED TEM/EELS of Methanococcus maripaludis Meshcheryakov et al (2019). High-resolution archaellum structure reveals a conserved metal binding site. EMBO Reports. 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 23
Mg2+ was consistent with LC-MS/MS and ICP-MS Meshcheryakov et al (2019). High-resolution archaellum structure reveals a conserved metal binding site. EMBO Reports. 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 24
Regioselective gas formation due to radiolysis (“bubblegrams”) Internal Protein of HSV mapped by bubblegrams, Wu et al, JVirol (2015) 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 25
Chemical modification due to radiolysis (archaeal filaments) Maigné, A., and Wolf, M. (2018). Low-dose electron energy-loss spectroscopy using electron counting direct detectors. Microscopy (Oxford, UK) 67, i86–i97. 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 26
Biomapping with DED EFTEM-SI (direct electron detection energy-filtered TEM spectrum imaging) • At low kV and possibly with monochromator, we should be able to see very clearly the low loss energy loss of the different chemical entities • While phase images (TEM) or scattering base images (STEM) may not provide contrast, EELS could provide a map of these entities. • Additional elements can also be mapped such as P, Ca … • Lower kV means larger cross section, higher EELS signal 2 0 2 1 / 4 / 2 4 © Okinawa Institute of Science and Technology Graduate University 2020 27
Thank you!
You can also read