Automation for Cryo-TEM: from Specimen Grid to 3D Map

We have been developing a software system, called Leginon, for the control and acquisition of images from a transmission electron microscope. This software allows for the automatic acquisition of images under low dose conditions from a specimen embedded in vitreous ice. Thousands of images are collected during each session at the microscope. These images are collected at various magnifications and under a variety of conditions. For example, images are collected of the entire grid, individual grid squares, individual holes within the square, and several high magnification images are acquired for one to several targets within each hole (figure 1). in addition, for each identified hole an image is acquired at the low dose focus position. Power spectra are also calculated for each of the high magnification images as well as for the focus images. For managing these images we are using a relational database management system. We have also developed a bench of tools to store, access, and display the data as well as tools for extracting information from the database.A database is a structured collection of data in which the information is classified by categories. Each category is then stored in a table and these tables are linked together by defined relations. Data may be combined from several tables on request. We have been using MySQL as our relational database management system. This allows us both to manage the images and to refer each image to its real context. in other words, through the database, we can keep track of information related to the microscope settings (e.g. defocus, electron dose, magnification, goniometer coordinates etc.), the type of image, and overall information about the specimen and the experiment.

Real-time and decision taking selection of single-particles during automated cryo-EM sessions based on neuro-fuzzy method

Iron deficiency and iron deficiency anemia pose significant health challenges worldwide. Iron carbohydrate nanoparticles administered intravenously are a mainstay of treatment to deliver elemental iron safely and effectively. However, despite decades of clinical use, a complete understanding of their physical structure and the significance for their behavior, particularly at the nano-bio interface, is still lacking, underscoring the need to employ more sophisticated characterization methods. Our study used cryogenic Scanning Transmission Electron Microscopy (cryo-STEM) to examine iron carbohydrate nanoparticle morphology. This method builds upon previous research, where direct visualization of the iron cores in these complexes was achieved using cryogenic Transmission Electron Microscopy (cryo-TEM). Our study confirms that the average size of the iron cores within these nanoparticles is approximately 2 nm across all iron-based products studied. Furthermore, our investigation revealed the existence of discernible cluster-like morphologies, not only for ferumoxytol, as previously reported, but also within all the examined iron-carbohydrate products. The application of cryo-STEM for the analyses of product morphologies provides high-contrast and high-resolution images of the nanoparticles, and facilitates the characterization at liquid nitrogen temperature, thereby preserving the structural integrity of these complex samples. The findings from this study offer valuable insights into the physical structure of iron-carbohydrate nanoparticles, a crucial step towards unraveling the intricate relationship between the structure and function of this widely used drug class in treating iron deficiency. Additionally, we developed and utilized the self-supervised machine learning workflow for the image analysis of iron-carbohydrate complexes, which might be further expanded into a useful characterization tool for comparability studies.

Liquid-phase electron microscopy (LPEM) is capable of imaging native (unstained) protein structure in liquid, but the achievable spatial resolution is limited by radiation damage. This damaging effect is more pronounced when targeting small molecular features than for larger structures. The matter is even more complicated because the critical dose that a sample can endure before radiation damage not only varies between proteins but also critically depends on the experimental conditions. Here, we examined the effect of the electron beam on the observed protein structure for optimized conditions using a liquid sample enclosure assembled from graphene sheets. It has been shown that graphene can reduce the damaging effect of electrons on biological materials. We used radiation sensitive microtubule proteins and investigated the radiation damage on these structures as a function of the spatial frequencies of the observed features with transmission electron microscopy (TEM). Microtubule samples were also examined using cryo-electron microscopy (cryo-TEM) for comparison. We used an electron flux of 11 ± 1-16 ± 1 e-/Å2s and obtained a series of images from the same sample region. Our results show that graphene-encapsulated microtubules can maintain their structural features of spatial frequencies of up to 0.20 nm-1 (5 nm), reflecting protofilaments for electron densities of up to 7.2 ± 1.4 × 102 e-/Å2, an order of magnitude higher than measured for frozen microtubules in amorphous ice.

In this research the phenomenon of monoclonal antibodies (mAbs) cooperative bactericidal activity and the structure of the N.meningitidis antigen NadA var.3 are investigated using Transmission Electron Microscopy (TEM). The mAbs cooperativity is a mechanism that occurs when mAbs that individually show low or no bactericidal activity become bactericidal when coupled together. Revealing the structural bases of cooperative bactericidal activity is fundamental for a thorough understanding of antibody-based mechanisms of protection. Meningococcal factor H binding protein (fHbp), surface-exposed lipoprotein presents in the vaccine against serogroup B Neisseria meningitidis, Bexsero®. A comparison of the structure of the murine cooperative complex with the human cooperative one has been performed revealing a higher level of flexibility and instability of the first complex. Moreover we have been able to prove a simultaneous binding of factor H (fH) to the immune cooperative complex. The 3D structures of the cooperative complexes demonstrated that the angle formed between fHbp-antibodies is orientated only depending on the epitope location on the antigen. Non-cooperative human complexes show a structural dissimilarities compared with the cooperative couples mainly for the absence of the complex formation due to the partial epitopes overlapping, as proved by Hydrogen/Deuterium Exchange Mass Spectrometry (HDX_MS). The NadA var. 3, the variant included in Bexsero® vaccine, structure was determined by the Cryo-Electron Microscopy (Cryo-EM) technique combined with Single Particle (SP) reconstruction method. The 3D reconstruction of NadA var.3, generated from Cryo-TEM data, shows an elongated and thin stalk decorated by a globular compact head characterized by a three-fold symmetry. Moreover the 3D EM map shows three evident points of interruption in the density of the stalk region presumably correlated with the three interruptions present in the coiled-coil periodicity of NadA var.3 the sequence. This result indicates a possible alternative mechanism of the antigen flexibility.

We investigate the deployment of a submersible platform with stereovision imaging capability for three-dimensional (3D) mapping of benthic habitats and other sea-floor structures over local areas. A complete framework is studied, comprising: 1) suitable trajectories to be executed for data collection; 2) data processing for positioning and trajectory followed by online frame-to-frame and frame-to-mosaic registration of images, as well as recursive global realignment of positions along the path; and 3) 3D mapping by the fusion of various visual cues, including motion and stereo within a Kalman filter. The computational requirements of the system are evaluated, formalizing how processing may be achieved in real time. The proposed scenario is simulated for testing with known ground truth to assess the system performance, to quantify various errors, and to identify how performance may be improved. Experiments with underwater images are also presented to verify the performance of various components and the overall scheme.

JADAS: a customizable automated data acquisition system and its application to ice-embedded single particles.

Electron tomography is the most widely applicable method for obtaining three-dimensional information by electron microscopy. It is, in fact, the only method suitable for investigating pleomorphic structures, such as many supramolecular assemblies, organelles and cells. With the recent development of automated low-dose data-acquisition schemes, it is now possible to study molecules and cells embedded in vitreous ice. This opens up new horizons for investigating the functional organization of cellular components with minimal perturbation of the cellular context. In the present study we used automated electron tomography in conjunction with cryomicroscopy to reveal the internal organization and ultrastructure of mitochondria. The whole isolated cell organelles from Neurospora crassa were quick-frozen and examined in vitrified ice. Single-axis tilt series were recorded with a Philips CM 120 Biotwin under low-dose conditions; the estimated total exposure was 10,000 e−nm−2. The tilt increment was 1° and the tilt series ranged from −65° to +65°. In order to enhance the contrast of the rather thick samples zero-loss energy filtering was employed. The images were recorded with a Ik × Ik CCD camera. The experimental setup has been described by Koster et al2 Three-dimensional reconstructions were performed by weighted backprojection. Prior to the three-dimensional visualization of 3-D data sets a denoising technique based on nonlinear anisotropic diffusion was applied (Figs. 2, 3).

Size distributions of cellulose nanocrystals (CNCs), extracted from softwood pulp via strong sulfuric acid hydrolysis, exhibit large variability when analyzed from transmission electron microscopy (TEM) images. In this article, the causes of this variability are studied and discussed. In order to obtain results comparable with those reported, a reference material of CNCs (CNCD-1) was used to evaluate size distribution. CNC TEM specimens were prepared as-stained and dried with a rapid-flushing staining method or hydrated and embedded in vitreous ice with the plunge-freezing method. Several sets of bright-field TEM (BF-TEM), annular dark-field scanning TEM (ADF-STEM) and cryogenic-TEM (cryo-TEM) images were acquired for size distribution analysis to study the contributing factors. The rapid-flushing staining method was found to be the most effective for contrast enhancement of CNCs, not only revealing the helical structure of single CNCs but also resolving the laterally jointed CNCs. During TEM specimen preparation, CNCs were fractionated on TEM grids driven by the coffee-ring effect, as observed from contrast variation of CNCs with a stain-depth gradient. From the edge to the center of the TEM grids, the width of CNCs increases, while the aspect ratio (length to width) decreases. This fractionated dispersion of CNCs suggests that images taken near the center of a droplet would give a larger mean width. In addition to particle fractionation driven by the coffee-ring effect, the arrangement and orientation of CNC particles on the substrate significantly affect the size measurement when CNC aggregation cannot be resolved in images. The coexistence of asymmetric cross-section CNC particles introduces a large variation in size measurement, as TEM images of CNCs are mixed projections of the width and height of particles. As a demonstration of how this contributes to inflated size measurement, twisted CNC particles, rectangular cross-section particles and end-to-end jointed CNCs were revealed in reconstructed three-dimensional (3D) micrographs by electron tomography (ET).

Approaches to large-scale structures

Solving the structures of macromolecular complexes.

Cryo-electron microscopy (cryo-EM), the structural analysis of samples embedded in vitreous ice, is a powerful approach for determining three-dimensional (3D) structures of biological specimens. Over the past two decades, this technique has been used to successfully calculate subnanometer (<10 Å) resolution and, in some cases, near-atomic resolution structures of highly symmetrical and stable complexes such as icosahedral viruses and ribosomes, as well as samples that form ordered two-dimensional or helical arrays. However, determining high-resolution 3D structures of smaller, less symmetrical, and dynamic samples remains a significant challenge. The recent development of electron microscopes with automated data collection capabilities and robust direct electron detection cameras, as well as new powerful image processing algorithms, has dramatically expanded the number of biological macromolecules amenable for study using cryo-EM. In addition, these new technological and computational developments have been used to successfully determine <5 Å resolution 3D structures of samples, such as membrane proteins and complexes with either low or no symmetry, that traditionally were not considered promising candidates for high-resolution cryo-EM. With these exciting new advances, cryo-EM is now on pace to determine atomic resolution 3D structures.

A long-sought goal in structural biology has been the imaging of membrane proteins in their membrane environments. This goal has been achieved with electron crystallography in those special cases where a protein forms highly ordered arrays in lipid bilayers. It has also been achieved by NMR methods in proteins up to 50 kilodaltons (kDa) in size, although milligram quantities of protein and isotopic labelling are required. For structural analysis of large soluble proteins in microgram quantities, an increasingly powerful method that does not require crystallization is single-particle reconstruction from electron microscopy of cryogenically cooled samples (electron cryomicroscopy (cryo-EM)). Here we report the first single-particle cryo-EM study of a membrane protein, the human large-conductance calcium- and voltage-activated potassium channel (BK), in a lipid environment. The new method is called random spherically constrained (RSC) single-particle reconstruction. BK channels, members of the six-transmembrane-segment (6TM) ion channel family, were reconstituted at low density into lipid vesicles (liposomes), and their function was verified by a potassium flux assay. Vesicles were also frozen in vitreous ice and imaged in an electron microscope. From images of 8,400 individual protein particles, a three-dimensional (3D) reconstruction of the BK channel and its membrane environment was obtained at a resolution of 1.7-2.0 nm. Not requiring the formation of crystals, the RSC approach promises to be useful in the structural study of many other membrane proteins as well.

Theory of the spatial resolution of (scanning) transmission electron microscopy in liquid water or ice layers

We investigate structural order in glassy water by performing classical molecular dynamics simulations using the extended simple point charge (SPC/E) model of water. We perform isochoric cooling simulations across the glass transition temperature at different cooling rates and densities. We quantify structural order by orientational and translational order metrics. Upon cooling the liquid into the glassy state, both the orientational order parameter Q and translational order parameter tau increase. At T=0 K, the glasses fall on a line in the Q-tau plane or order map. The position of this line depends only on density and coincides with the location in the order map of the inherent structures (IS) sampled upon cooling. We evaluate the energy of the IS, eIS(T), and find that both order parameters for the IS are proportional to eIS. We also study the structural order during the transformation of low-density amorphous ice (LDA) to high-density amorphous ice (HDA) upon isothermal compression and are able to identify distinct regions in the order map corresponding to these glasses. Comparison of the order parameters for LDA and HDA with those obtained upon isochoric cooling indicates major structural differences between glasses obtained by cooling and glasses obtained by compression. These structural differences are only weakly reflected in the pair correlation function. We also characterize the evolution of structural order upon isobaric annealing, leading at high pressure to very-high density amorphous ice (VHDA).