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Volume electron microscopy (vEM) is a group of techniques that reveal the 3D ultrastructure of cells and tissues through continuous depths of at least 1 micrometer. A burgeoning grassroots community effort is fast building the profile and revealing the impact of vEM technology in the life sciences and clinical research.

Mammalian cortex features a vast diversity of neuronal cell types, each with characteristic anatomical, molecular and functional properties 1 . Synaptic connectivity shapes how each cell type participates in the cortical circuit, but mapping connectivity rules at the resolution of distinct cell types remains difficult. Here we used millimetre-scale volumetric electron microscopy 2 to investigate the connectivity of all inhibitory neurons across a densely segmented neuronal population of 1,352 cells spanning all layers of mouse visual cortex, producing a wiring diagram of inhibition with more than 70,000 synapses. Inspired by classical neuroanatomy, we classified inhibitory neurons based on targeting of dendritic compartments and developed an excitatory neuron classification based on dendritic reconstructions with whole-cell maps of synaptic input. Single-cell connectivity showed a class of disinhibitory specialist that targets basket cells. Analysis of inhibitory connectivity onto excitatory neurons found widespread specificity, with many interneurons exhibiting differential targeting of spatially intermingled subpopulations. Inhibitory targeting was organized into ‘motif groups’, diverse sets of cells that collectively target both perisomatic and dendritic compartments of the same excitatory targets. Collectively, our analysis identified new organizing principles for cortical inhibition and will serve as a foundation for linking contemporary multimodal neuronal atlases with the cortical wiring diagram. Using volumetric electron microscopy, the authors map and analyze the structure of cortical inhibition with synaptic resolution across a column of visual cortex.

Since its entry into biomedical research in the first half of the twentieth century, electron microscopy has been a valuable tool for lung researchers to explore the lung’s delicate ultrastructure. Among others, it proved the existence of a continuous alveolar epithelium and demonstrated the surfactant lining layer. With the establishment of serial sectioning transmission electron microscopy, as the first “volume electron microscopic” technique, electron microscopy entered the third dimension and investigations of the lung’s three-dimensional ultrastructure became possible. Over the years, further techniques, ranging from electron tomography over serial block-face and focused ion beam scanning electron microscopy to array tomography became available. All techniques cover different volumes and resolutions, and, thus, different scientific questions. This review gives an overview of these techniques and their application in lung research, focusing on their fields of application and practical implementation. Furthermore, an introduction is given how the output raw data are processed and the final three-dimensional models can be generated.

While genetically encoded reporters are common for fluorescence microscopy, equivalent multiplexable gene reporters for electron microscopy (EM) are still scarce. Here, by installing a variable number of fixation-stable metal-interacting moieties in the lumen of encapsulin nanocompartments of different sizes, we developed a suite of spherically symmetric and concentric barcodes (EMcapsulins) that are readable by standard EM techniques. Six classes of EMcapsulins could be automatically segmented and differentiated. The coding capacity was further increased by arranging several EMcapsulins into distinct patterns via a set of rigid spacers of variable length. Fluorescent EMcapsulins were expressed to monitor subcellular structures in light and EM. Neuronal expression in Drosophila and mouse brains enabled the automatic identification of genetically defined cells in EM. EMcapsulins are compatible with transmission EM, scanning EM and focused ion beam scanning EM. The expandable palette of genetically controlled EM-readable barcodes can augment anatomical EM images with multiplexed gene expression maps. Multiplexable barcodes for electron microscopy are applied to brain imaging.

Mammalian epididymal epithelial cells are crucial for sperm maturation. Historically, vacuole-like ultrastructures in epididymal epithelial cells were observed via transmission electron microscopy but were undefined. Here, we utilize volume electron microscopy (vEM) to generate 3D reconstructions of epididymal epithelial cells and identify these vacuoles as intercellular organelle reservoirs (IORs) in the lateral intercellular space (LIS), which contains protein aggregates, autophagosomes, lysosome-related organelles and mitochondrial residues. Immunolabelling of organelle markers such as P62, LC3, LAMP1 and TOMM20 confirm these findings. The IOR size or number varies across four epididymal regions and decreases with age. Rab27a mutant mice exhibit reduced IORs in the caput epididymis and a subfertility phenotype, suggesting the involvement of Rab27a in the formation of IORs. Furthermore, we observe the presence of IORs between intestinal epithelial cells besides epididymis. Amino acid transporters at IOR edges suggest dynamic protein recycling. Our findings reveal that the IOR is an important structure critical for organelle turnover and recycling outside epithelial cells with limited self-degradation capabilities. Undefined vacuole-like ultrastructures between epididymal cells have been observed. Here, the authors reveal that these structures contain organelle residues and protein aggregates that suggest a reservoir for protein recycling.

Volume electron microscopy encompasses a set of electron microscopy techniques that can be used to examine the ultrastructure of biological tissues and cells in three dimensions. Two block face techniques, focused ion beam scanning electron microscopy (FIB-SEM) and serial block face scanning electron microscopy (SBF-SEM) have often been used to study biological tissue samples. More recently, these techniques have been adapted to in vitro tissue culture samples. Here we describe step-by-step protocols for two sample embedding methods for in vitro tissue culture cells intended to be studied using SBF-SEM. The first focuses on cell pellet embedding and the second on en face embedding. En face embedding can be combined with light microscopy, and this CLEM workflow can be used to identify specific biological events by light microscopy, which can then be imaged using SBF-SEM. We systematically outline the steps necessary to fix, stain, embed and image adherent tissue culture cell monolayers by SBF-SEM. In addition to sample preparation, we discuss optimization of parameters for data collection. We highlight the challenges and key steps of sample preparation, and the consideration of imaging variables.

Correlative microscopy approaches offer powerful means to study tissue development across spatial scales, but combining 3D light and electron imaging remains technically challenging. Here, we present a practical workflow that integrates organ-on-a-chip culture with longitudinal fluorescence imaging and volume electron microscopy. By modifying an existing chip platform designed for aligned tissue growth, we demonstrate the feasibility of extended 3D live imaging and subsequent high-pressure freezing of intact microtissues. Fluorescence-guided targeting enables focused ion beam/scanning electron microscopy (FIB/SEM) of selected regions, revealing ultrastructural features such as cellular organization, collagen alignment, and matrix mineralization. While not aimed at new biological discoveries, this study highlights the compatibility and potential of this pipeline for future high-resolution, multiscale studies of tissue morphogenesis and pathology in controlled microenvironments.

Loss of synaptic activity correlates best with cognitive dysfunction in Alzheimer’s disease (AD). We have previously shown that mild inhibition of mitochondrial complex I with the small molecule tricyclic pyrone compound CP2 restores long-term potentiation and cognitive function assessed by electrophysiology and behavior tests in multiple mouse models of AD. Using serial block-face scanning electron microscopy and three-dimensional electron microscopy reconstruction, we examined the effect of CP2 treatment on synapses, and the distribution and morphology of synaptic mitochondria in the hippocampus of APP/PS1 mice. Structural data confirmed the loss of synapses in APP/PS1 compared to non-transgenic (NTG) littermates. Mitochondrial distribution assessed in pre- and postsynaptic compartments was significantly altered in AD model demonstrating increased presence of mitochondria around dendritic spines compared to NTG mice, indicating the loss of mitochondrial ability to support synaptic function. CP2 treatment restored distribution of synaptic mitochondria and the number of synapses to the NTG control levels. Improved synaptic function in CP2-treated APP/PS1 mice was supported by RNA-seq analysis indicating upregulation of genes involved in axonal guidance, dendritic maturation and synaptic function, and Western blot analysis of brain tissue. Taken together, functional, imaging, biochemistry and structural findings further support the potential of targeting mitochondria as a therapeutic approach for AD.

Volume electron microscopy (vEM) generates large 3D volumes of cells or tissues at nanoscale resolutions, enabling analyses of organelles in their cellular environment. Here, we provide examples of vEM in cell biology and discuss community efforts to develop standards in sample preparation and image acquisition for enhanced reproducibility and data reuse.

Volume electron microscopy is the method of choice for the in situ interrogation of cellular ultrastructure at the nanometer scale, and with the increase in large raw image datasets generated, improving computational strategies for image segmentation and spatial analysis is necessary. Here we describe a practical and annotation-efficient pipeline for organelle-specific segmentation, spatial analysis and visualization of large volume electron microscopy datasets using freely available, user-friendly software tools that can be run on a single standard workstation. The procedures are aimed at researchers in the life sciences with modest computational expertise, who use volume electron microscopy and need to generate three-dimensional (3D) segmentation labels for different types of cell organelles while minimizing manual annotation efforts, to analyze the spatial interactions between organelle instances and to visualize the 3D segmentation results. We provide detailed guidelines for choosing well-suited segmentation tools for specific cell organelles, and to bridge compatibility issues between freely available open-source tools, we distribute the critical steps as easily installable Album solutions for deep learning segmentation, spatial analysis and 3D rendering. Our detailed description can serve as a reference for similar projects requiring particular strategies for single- or multiple-organelle analysis, which can be achieved with computational resources commonly available to single-user setups. Key points This protocol provides a pipeline for analyzing volume electron microscopy datasets covering the preparation of raw data, the segmentation of specific organelles, their spatial analysis and three-dimensional visualization of the segmentation maps. The protocol demonstrates the use of tools such as Microscopy Image Browser, ilastik, Labkit and Album, which facilitates the installation of Python-based software (CSBDeep, CellSketch, StarDist, Blender and Jupyter notebooks). A user-friendly approach for segmentation and spatial analysis of large volume electron microscopy datasets with open-source software tools