🏆 Foundational Paper

Routine determination of ice thickness for cryo-EM grids.

Rice William J, Cheng Anchi, Noble Alex J, Eng Edward T, Kim Laura Y, Carragher Bridget, Potter Clinton S

📰 Journal of structural biology 📅 2018 📊 171 citations

Abstract

Recent advances in instrumentation and automation have made cryo-EM a popular method for producing near-atomic resolution structures of a variety of proteins and complexes. Sample preparation is still a limiting factor in collecting high quality data. Thickness of the vitreous ice in which the particles are embedded is one of the many variables that need to be optimized for collection of the highest quality data. Here we present two methods, using either an energy filter or scattering outside the objective aperture, to measure ice thickness for potentially every image collected. Unlike geometrical or tomographic methods, these can be implemented directly in the single particle collection workflow without interrupting or significantly slowing down data collection. We describe the methods as implemented into the Leginon/Appion data collection workflow, along with some examples from test cases. Routine monitoring of ice thickness should prove helpful for optimizing sample preparation, data collection, and data processing.

🔬 Techniques

🔭 Microscopes

💻 Software

🏭 Microscope Brands

Leica Gatan FEI Thermo Fisher Evident (Olympus)

🧪 Reagent Suppliers

📷 Detectors

💻 Software Details

Image Acquisition:
Leginon
Image Analysis:
Digital Micrograph EMAN2 SerialEM

💾 Data Repositories

🏛️ Research Organizations (ROR)

Affiliated research institutions:

📋 Methods

✔ Verified methods section 531 words Read on PMC ↗

Specimen preparation: Samples were plunge frozen using standard techniques on a Gatan CP3 plunge freezer or a Leica plunge freezer. Rabbit muscle aldolase was prepared and frozen on gold Ultrafoil grids according to ( Herzik et al., 2017 ). Proteasome grids were prepared and frozen on Quantifoil grids according to ( Campbell et al., 2015 ). Glutamate dehydrogenase was prepared and frozen according to ( Merk et al., 2016 ). Microscopy: Images were collected on several microscopes and cameras: Titan Krios with energy filter, 100 μm objective aperture, nanoprobe mode, Gatan Bioquantum K2, dose rate 8 e - /pix/sec. Titan Krios with energy filter and Cs corrector, 100 μm objective aperture, nanoprobe mode, Gatan Bioquantum K2, dose rate 8 e - /pix/sec. Titan Krios, Gatan K2, 100 μm objective aperture, nanoprobe mode, dose rate 8 e - /pix/sec. Tecnai F20, 70 or 100 μm objective aperture, microprobe mode, DE20 direct detector, dose rate 2 e - /pix/frame. Tecnai T12, 70 or 100 μm objective aperture, microprobe mode, TVIPS F416 CMOS detector. In all cases, the beam size was on the order of the hole size and was hitting the surrounding carbon under the exposure conditions. Tomography: Tilt series were collected on the Titan Krios microscopes using the Tomography app as implemented in Leginon ( Suloway et al., 2009 ). Tilt series were collected on the T12 and F20 microscopes using SerialEM software ( Mastronarde, 2005 ). In both cases, tilt series were collected bidirectionally between −45 and + 45 degrees with a starting angle of 0 degrees and an angular increment of 3 degrees. In all cases, tomograms were calculated using Protomo software as implemented in Appion ( Noble and Stagg, 2015 ). Ice thickness measurement from tomograms: Based on the results of hundreds of tomograms ( Noble et al., 2018b ), we know that the vast majority of particles on a vitrified grid are closely associated with the air water interface. We can thus estimate thickness from the z height between proteins (or ice contamination) observed on the two interfaces. For very thin samples the thickness was estimated from this single layer. For thicker samples which had a varying thickness, we chose the approximate average thickness. Single particle dataset collection: Images were collected using the Leginon workflow ( Suloway et al., 2005 ). For ice thickness determination by inelastic scattering, two extra 0.5s images were collected; the first image with no slit inserted and the second with a 15 eV slit inserted. Note that our software allows us to collect standard images with a 20 eV slit width then temporarily change it to 15 eV for these two extra images. For ice thickness measurements determined using ALS, several images were taken at the start of the session over vacuum and the mean of these intensities was used as a reference for I 0 . Image calculations: Various image calculations and plots were calculated using the EMAN2/Sparx suite of image analysis tools ( Hohn et al., 2007 ; Ludtke, 2016 ). CTF measurements and Thon ring extent were done using CTFFIND4 ( Rohou and Grigorieff, 2015 ). Curve fitting and plotting was performed using gnuplot, an open source plotting tool.

Show full methods section

Specimen preparation: Samples were plunge frozen using standard techniques on a Gatan CP3 plunge freezer or a Leica plunge freezer. Rabbit muscle aldolase was prepared and frozen on gold Ultrafoil grids according to ( Herzik et al., 2017 ). Proteasome grids were prepared and frozen on Quantifoil grids according to ( Campbell et al., 2015 ). Glutamate dehydrogenase was prepared and frozen according to ( Merk et al., 2016 ). Microscopy: Images were collected on several microscopes and cameras: Titan Krios with energy filter, 100 μm objective aperture, nanoprobe mode, Gatan Bioquantum K2, dose rate 8 e - /pix/sec. Titan Krios with energy filter and Cs corrector, 100 μm objective aperture, nanoprobe mode, Gatan Bioquantum K2, dose rate 8 e - /pix/sec. Titan Krios, Gatan K2, 100 μm objective aperture, nanoprobe mode, dose rate 8 e - /pix/sec. Tecnai F20, 70 or 100 μm objective aperture, microprobe mode, DE20 direct detector, dose rate 2 e - /pix/frame. Tecnai T12, 70 or 100 μm objective aperture, microprobe mode, TVIPS F416 CMOS detector. In all cases, the beam size was on the order of the hole size and was hitting the surrounding carbon under the exposure conditions. Tomography: Tilt series were collected on the Titan Krios microscopes using the Tomography app as implemented in Leginon ( Suloway et al., 2009 ). Tilt series were collected on the T12 and F20 microscopes using SerialEM software ( Mastronarde, 2005 ). In both cases, tilt series were collected bidirectionally between −45 and + 45 degrees with a starting angle of 0 degrees and an angular increment of 3 degrees. In all cases, tomograms were calculated using Protomo software as implemented in Appion ( Noble and Stagg, 2015 ). Ice thickness measurement from tomograms: Based on the results of hundreds of tomograms ( Noble et al., 2018b ), we know that the vast majority of particles on a vitrified grid are closely associated with the air water interface. We can thus estimate thickness from the z height between proteins (or ice contamination) observed on the two interfaces. For very thin samples the thickness was estimated from this single layer. For thicker samples which had a varying thickness, we chose the approximate average thickness. Single particle dataset collection: Images were collected using the Leginon workflow ( Suloway et al., 2005 ). For ice thickness determination by inelastic scattering, two extra 0.5s images were collected; the first image with no slit inserted and the second with a 15 eV slit inserted. Note that our software allows us to collect standard images with a 20 eV slit width then temporarily change it to 15 eV for these two extra images. For ice thickness measurements determined using ALS, several images were taken at the start of the session over vacuum and the mean of these intensities was used as a reference for I 0 . Image calculations: Various image calculations and plots were calculated using the EMAN2/Sparx suite of image analysis tools ( Hohn et al., 2007 ; Ludtke, 2016 ). CTF measurements and Thon ring extent were done using CTFFIND4 ( Rohou and Grigorieff, 2015 ). Curve fitting and plotting was performed using gnuplot, an open source plotting tool.

📊 Figures

Figure 1.

(A) Representative grid atlas collected in Leginon, showing an evident gradient in ice thickness. (B) A u201csquareu201d level image from this same grid shows evidence of varying thickness, including ...

Figure 2.

(A) Determination of mean free path for inelastic scattering by electron tomography. Images were collected for both aldolase and proteasome samples with and without a 15 eV energy slit. Tomograms were...

Figure 3.

(A) Histogram of thickness values as measured on a rabbit muscle aldolase sample frozen on gold Ultrafoil grids. (B) Histogram of thickness values as measured on a T20S proteasome test sample frozen o...

Figure 4:

Plots of Thon ring extent, as measured by CTFFIND4 (u00c5 u22121 ), versus ice thickness for several samples. (A): glutamate dehydrogenase. (B, C): rabbit muscle aldolase. (D): T20S proteasome. Thon r...

Figure 5:

Integration of ice thickness determination into Leginon. (A) The control panel for the node is shown. The user provides various parameters for thickness determination and chooses how often the thickne...

Figure images are served from the NIH/NLM PubMed Central Open Access Subset or Europe PMC; copyright remains with the publishers and authors.

🏛️ Imaging Facility

🏛️ New York Structural Biology Center

💬 Discussion

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