scholarly article | Q13442814 |
P50 | author | Alex J Noble | Q57080499 |
Edward T Eng | Q57019658 | ||
P2093 | author name string | Bridget Carragher | |
Clinton S Potter | |||
William J Rice | |||
Anchi Cheng | |||
Laura Y Kim | |||
P2860 | cites work | Determination of the inelastic mean free path in ice by examination of tilted vesicles and automated most probable loss imaging | Q71784739 |
Appion: an integrated, database-driven pipeline to facilitate EM image processing | Q29614288 | ||
Automated molecular microscopy: the new Leginon system | Q29614290 | ||
Automated electron microscope tomography using robust prediction of specimen movements | Q29616585 | ||
Single-particle cryo-EM data acquisition by using direct electron detection camera. | Q30364614 | ||
Spotiton: a prototype for an integrated inkjet dispense and vitrification system for cryo-TEM. | Q30452974 | ||
Electron microscopy: Ultrastable gold substrates for electron cryomicroscopy | Q30615848 | ||
Asynchronous data acquisition and on-the-fly analysis of dose fractionated cryoEM images by UCSFImage | Q30672248 | ||
Automated batch fiducial-less tilt-series alignment in Appion using Protomo | Q30672285 | ||
Breaking Cryo-EM Resolution Barriers to Facilitate Drug Discovery. | Q30780237 | ||
A new method for vitrifying samples for cryoEM. | Q30855189 | ||
Processing of Cryo-EM Movie Data | Q31125295 | ||
SPARX, a new environment for Cryo-EM image processing | Q33255164 | ||
Fully automated, sequential tilt-series acquisition with Leginon | Q33429304 | ||
Cryo-electron microscopy of viruses | Q34255422 | ||
2.8 Å resolution reconstruction of the Thermoplasma acidophilum 20S proteasome using cryo-electron microscopy | Q34466607 | ||
A Fast and Effective Microfluidic Spraying-Plunging Method for High-Resolution Single-Particle Cryo-EM. | Q34553129 | ||
Image formation modeling in cryo-electron microscopy. | Q34742305 | ||
Simultaneous determination of sample thickness, tilt, and electron mean free path using tomographic tilt images based on Beer-Lambert law. | Q35798092 | ||
Focus: The interface between data collection and data processing in cryo-EM. | Q36323355 | ||
Cryo-EM: beyond the microscope. | Q36413839 | ||
Cryo-electron energy loss spectroscopy: observations on vitrified hydrated specimens and radiation damage | Q36682918 | ||
Single-Particle Refinement and Variability Analysis in EMAN2.1. | Q37401754 | ||
Antibody-Based Affinity Cryoelectron Microscopy at 2.6-Å Resolution | Q39223658 | ||
Cryo-electron microscopy for structural analysis of dynamic biological macromolecules. | Q41596989 | ||
Determination of the inelastic mean free path of electrons in vitrified ice layers for on-line thickness measurements by zero-loss imaging | Q41629614 | ||
Achieving better-than-3-Å resolution by single-particle cryo-EM at 200 keV. | Q46569001 | ||
Electron energy filtering significantly improves amplitude contrast of frozen-hydrated protein at 300kV. | Q46954370 | ||
Spotiton: New features and applications. | Q49794821 | ||
Optimizing "self-wicking" nanowire grids | Q50113968 | ||
CTFFIND4: Fast and accurate defocus estimation from electron micrographs. | Q50866431 | ||
Benchmarking cryo-EM Single Particle Analysis Workflow. | Q55411291 | ||
Routine single particle CryoEM sample and grid characterization by tomography. | Q55432249 | ||
P433 | issue | 1 | |
P304 | page(s) | 38-44 | |
P577 | publication date | 2018-07-04 | |
P1433 | published in | Journal of Structural Biology | Q3186947 |
P1476 | title | Routine determination of ice thickness for cryo-EM grids | |
P478 | volume | 204 |