High accuracy, fiducial marker-based image registration of correlative microscopy images

Imaging of Isolated Exosomes by Correlative Microscopy

Correlative microscopy is a sophisticated imaging technique that combines optical and electron microscopes, with the most common approach being the integration of light microscopy and electron microscopy, known as correlative light and electron microscopy (CLEM). While CLEM provides a comprehensive view of biological samples, it presents a significant challenge in sample preparation due to the distinct processes involved in each technique. Striking a balance between these methods is crucial. Despite numerous approaches, achieving seamless imaging with CLEM remains a complex task. Exosomes, nanovesicles ranging from 30 to 150 nm in size, are enclosed by a lipid bilayer and released by various cell types. Visualizing exosomes poses difficulties due to their small size and minimal electric charge. However, imaging exosomes at high resolution offers a direct method to understand their morphology and functions. In this study, we evaluated exosome imaging with CLEM using a combination of confocal, transmission electron microscope, and scanning electron microscope (SEM). In addition, we conducted a comparative analysis of these two techniques, evaluating their suitability and efficiency in imaging nanoscale structures. In this study, we found that confocal-SEM correlation is more applicable for imaging exosomes. Moreover, we observed that exosomes were found in clusters in confocal-SEM correlation.

Correlative Imaging to Detect Rare HIV Reservoirs and Associated Damage in Tissues

Correlative light-electron microscopy (CLEM) has evolved in the last decades, especially after significant developments in sample preparation, imaging acquisition, software, spatial resolution, and equipment, including confocal, live-cell, super-resolution, and electron microscopy (scanning, transmission, focused ion beam, and cryo-electron microscopy). However, the recent evolution of different laser-related techniques, such as mass spectrometry imaging (MSI) and laser capture microdissection, could further expand spatial imaging capabilities into high-resolution OMIC approaches such as proteomic, lipidomics, small molecule, and drug discovery. Here, we will describe a protocol to integrate the detection of rare viral reservoirs with imaging mass spectrometry.

Functional characterization of endo-lysosomal compartments by correlative live-cell and volume electron microscopy

Fluorescent biosensors are valuable tools to monitor protein activities and the functional state of organelles in live cells. However, the information provided by fluorescent microscopy (FM) is mostly limited in resolution and lacks ultrastructural context information. Protein activities are confined to organelle zones with a distinct membrane morphology, which can only be seen by electron microscopy (EM). EM, however, intrinsically lacks information on protein activities. The lack of methods to integrate these two imaging modalities has hampered understanding the functional organization of cellular organelles. Here we introduce "functional correlative microscopy" (functional CLEM) to directly infer functional information from live cells to EM with nanometer resolution. We label and visualize live cells with fluorescent biosensors after which they are processed for EM and imaged using a volume electron microscopy technique. Within a single dataset we correlate hundreds of fluorescent spots enabling quantitative analysis of the functional-ultrastructural data. We employ our method to monitor essential functional parameters of late endo-lysosomal compartments, i.e., pH, calcium, enzyme activities and cholesterol content. Our data reveal a steep functional difference in enzyme activity between late endosomes and lysosomes and unexpectedly high calcium levels in late endosomes. The presented CLEM workflow is compatible with a large repertoire of probes and paves the way for large scale functional studies of all types of cellular structures.

Bimodal endocytic probe for three-dimensional correlative light and electron microscopy

We present a bimodal endocytic tracer, fluorescent BSA-gold (fBSA-Au), as a fiducial marker for 2D and 3D correlative light and electron microscopy (CLEM) applications. fBSA-Au consists of colloidal gold (Au) particles stabilized with fluorescent BSA. The conjugate is efficiently endocytosed and distributed throughout the 3D endolysosomal network of cells and has an excellent visibility in both fluorescence microscopy (FM) and electron microscopy (EM). We demonstrate that fBSA-Au facilitates rapid registration in several 2D and 3D CLEM applications using Tokuyasu cryosections, resin-embedded material, and cryoelectron microscopy (cryo-EM). Endocytosed fBSA-Au benefits from a homogeneous 3D distribution throughout the endosomal system within the cell, does not obscure any cellular ultrastructure, and enables accurate (50-150 nm) correlation of fluorescence to EM data. The broad applicability and visibility in both modalities makes fBSA-Au an excellent endocytic fiducial marker for 2D and 3D (cryo)CLEM applications.

Correlative Organelle Microscopy: Fluorescence Guided Volume Electron Microscopy of Intracellular Processes

Intracellular processes depend on a strict spatial and temporal organization of proteins and organelles. Therefore, directly linking molecular to nanoscale ultrastructural information is crucial in understanding cellular physiology. Volume or three-dimensional (3D) correlative light and electron microscopy (volume-CLEM) holds unique potential to explore cellular physiology at high-resolution ultrastructural detail across cell volumes. However, the application of volume-CLEM is hampered by limitations in throughput and 3D correlation efficiency. In order to address these limitations, we describe a novel pipeline for volume-CLEM that provides high-precision (<100 nm) registration between 3D fluorescence microscopy (FM) and 3D electron microscopy (EM) datasets with significantly increased throughput. Using multi-modal fiducial nanoparticles that remain fluorescent in epoxy resins and a 3D confocal fluorescence microscope integrated into a Focused Ion Beam Scanning Electron Microscope (FIB.SEM), our approach uses FM to target extremely small volumes of even single organelles for imaging in volume EM and obviates the need for post-correlation of big 3D datasets. We extend our targeted volume-CLEM approach to include live-cell imaging, adding information on the motility of intracellular membranes selected for volume-CLEM. We demonstrate the power of our approach by targeted imaging of rare and transient contact sites between the endoplasmic reticulum (ER) and lysosomes within hours rather than days. Our data suggest that extensive ER-lysosome and mitochondria-lysosome interactions restrict lysosome motility, highlighting the unique capabilities of our integrated CLEM pipeline for linking molecular dynamic data to high-resolution ultrastructural detail in 3D.

Quantitative correlative microscopy reveals the ultrastructural distribution of endogenous endosomal proteins

The key endosomal regulators Rab5, EEA1, and APPL1 are frequently applied in fluorescence microscopy to mark early endosomes, whereas Rab7 is used as a marker for late endosomes and lysosomes. However, endogenous levels of these proteins localize poorly in immuno-EM, and systematic studies on their native ultrastructural distributions are lacking. To address this gap, we here present a quantitative, on-section correlative light and electron microscopy (CLEM) approach. Using the sensitivity of fluorescence microscopy, we label hundreds of organelles that are subsequently visualized by EM and classified by ultrastructure. We show that Rab5 predominantly marks small, endocytic vesicles and early endosomes. EEA1 colocalizes with Rab5 on early endosomes, but unexpectedly also labels Rab5-negative late endosomes, which are positive for PI(3)P but lack Rab7. APPL1 is restricted to small Rab5-positive, tubulo-vesicular profiles. Rab7 primarily labels late endosomes and lysosomes. These data increase our understanding of the structural-functional organization of the endosomal system and introduce quantitative CLEM as a sensitive alternative for immuno-EM.

Microscopes, tools, probes, and protocols: A guide in the route of correlative microscopy for biomedical investigation

In the last decades, the advancements of microscopes technology, together with the development of new imaging approaches, are trying to address some biological questions that have been unresolved in the past: the need to combine in the same analysis temporal, functional and morphological information on the biological sample has become pressing. For this reason, the use of correlative microscopy, in which two or more imaging techniques are combined in the same analysis, is getting increasingly widespread. In fact, correlative microscopy can overcome limitations of a single imaging method, giving access to a larger amount of information from the same specimen. However, correlative microscopy can be challenging, and appropriate protocols for sample preparation and imaging methods must be selected. Here we review the state of the art of correlating electron microscopy with different imaging methods, focusing on sample preparation, tools, and labeling methods, with the aim to provide a comprehensive guide for those scientists who are approaching the field of correlative methods.

α-Synuclein fibrils subvert lysosome structure and function for the propagation of protein misfolding between cells through tunneling nanotubes

The accumulation of α-synuclein (α-syn) aggregates in specific brain regions is a hallmark of synucleinopathies including Parkinson disease (PD). α-Syn aggregates propagate in a "prion-like" manner and can be transferred inside lysosomes to recipient cells through tunneling nanotubes (TNTs). However, how lysosomes participate in the spreading of α-syn aggregates is unclear. Here, by using super-resolution (SR) and electron microscopy (EM), we find that α-syn fibrils affect the morphology of lysosomes and impair their function in neuronal cells. In addition, we demonstrate that α-syn fibrils induce peripheral redistribution of lysosomes, likely mediated by transcription factor EB (TFEB), increasing the efficiency of α-syn fibrils' transfer to neighboring cells. We also show that lysosomal membrane permeabilization (LMP) allows the seeding of soluble α-syn in cells that have taken up α-syn fibrils from the culture medium, and, more importantly, in healthy cells in coculture, following lysosome-mediated transfer of the fibrils. Moreover, we demonstrate that seeding occurs mainly at lysosomes in both donor and acceptor cells, after uptake of α-syn fibrils from the medium and following their transfer, respectively. Finally, by using a heterotypic coculture system, we determine the origin and nature of the lysosomes transferred between cells, and we show that donor cells bearing α-syn fibrils transfer damaged lysosomes to acceptor cells, while also receiving healthy lysosomes from them. These findings thus contribute to the elucidation of the mechanism by which α-syn fibrils spread through TNTs, while also revealing the crucial role of lysosomes, working as a Trojan horse for both seeding and propagation of disease pathology.

A Comparative Study of Automatic Localization Algorithms for Spherical Markers within 3D MRI Data

Localization of features and structures in images is an important task in medical image-processing. Characteristic structures and features are used in diagnostics and surgery planning for spatial adjustments of the volumetric data, including image registration or localization of bone-anchors and fiducials. Since this task is highly recurrent, a fast, reliable and automated approach without human interaction and parameter adjustment is of high interest. In this paper we propose and compare four image processing pipelines, including algorithms for automatic detection and localization of spherical features within 3D MRI data. We developed a convolution based method as well as algorithms based on connected-components labeling and analysis and the circular Hough-transform. A blob detection related approach, analyzing the Hessian determinant, was examined. Furthermore, we introduce a novel spherical MRI-marker design. In combination with the proposed algorithms and pipelines, this allows the detection and spatial localization, including the direction, of fiducials and bone-anchors.

TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages

Identifying endogenous tissue stem cells remains a key challenge in developmental and regenerative biology. To distinguish and molecularly characterise stem cell populations in large heterogeneous tissues, the combination of cytochemical cell markers with ultrastructural morphology is highly beneficial. Here, we realise this through workflows of multi-resolution immuno-correlative light and electron microscopy (iCLEM) methodologies. Taking advantage of the antigenicity preservation of the Tokuyasu technique, we have established robust protocols and workflows and provide a side-by-side comparison of iCLEM used in combination with scanning EM (SEM), scanning TEM (STEM), or transmission EM (TEM). Evaluation of the applications and advantages of each method highlights their practicality for the identification, quantification, and characterization of heterogeneous cell populations in small organisms, organs, or tissues in healthy and diseased states. The iCLEM techniques are broadly applicable and can use either genetically encoded or cytochemical markers on plant, animal and human tissues. We demonstrate how these protocols are particularly suited for investigating neural stem and progenitor cell populations of the vertebrate nervous system.

Fluorescent and Electron-Dense Green Color Emitting Nanodiamonds for Single-Cell Correlative Microscopy

Correlative light and electron microscopy (CLEM) is revolutionizing how cell samples are studied. CLEM provides a combination of the molecular and ultrastructural information about a cell. For the execution of CLEM experiments, multimodal fiducial landmarks are applied to precisely overlay light and electron microscopy images. Currently applied fiducials such as quantum dots and organic dye-labeled nanoparticles can be irreversibly quenched by electron beam exposure during electron microscopy. Generally, the sample is therefore investigated with a light microscope first and later with an electron microscope. A versatile fiducial landmark should offer to switch back from electron microscopy to light microscopy while preserving its fluorescent properties. Here, we evaluated green fluorescent and electron dense nanodiamonds for the execution of CLEM experiments and precisely correlated light microscopy and electron microscopy images. We demonstrated that green color emitting fluorescent nanodiamonds withstand electron beam exposure, harsh chemical treatments, heavy metal straining, and, importantly, their fluorescent properties remained intact for light microscopy.

Photonic-chip assisted correlative light and electron microscopy

Correlative light and electron microscopy (CLEM) unifies the versatility of light microscopy (LM) with the high resolution of electron microscopy (EM), allowing one to zoom into the complex organization of cells. Here, we introduce photonic chip assisted CLEM, enabling multi-modal total internal reflection fluorescence (TIRF) microscopy over large field of view and high precision localization of the target area of interest within EM. The photonic chips are used as a substrate to hold, to illuminate and to provide landmarking of the sample through specially designed grid-like numbering systems. Using this approach, we demonstrate its applicability for tracking the area of interest, imaging the three-dimensional (3D) structural organization of nano-sized morphological features on liver sinusoidal endothelial cells such as fenestrations (trans-cytoplasmic nanopores), and correlating specific endo-lysosomal compartments with its cargo protein upon endocytosis.

Tinguely et al. develop a photonic chip-based correlative light-electron microscopy system to generate co-registered multi-modal total internal reflection fluorescence microscopy (TIRF) and electron microscopy (EM) images of biological samples at nanometer scale.

Step-by-step guide to post-acquisition correlation of confocal and FIB/SEM volumes using Amira software

In recent years new methodologies and workflow pipelines for acquiring correlated fluorescence microscopy and volume electron microscopy datasets have been extensively described and made accessible to users of different levels. Post-acquisition image processing, and particularly correlation of the optical and electron data in a single integrated three-dimensional framework can be key for extracting valuable information, especially when imaging large sample volumes such as whole cells or tissues. These tasks remain challenging and are often rate-limiting to most users. Here we provide a step-by-step guide to image processing and manual correlation using ImageJ and Amira software of a confocal microscopy stack and a focused ion beam/scanning electron microscopy (FIB/SEM) tomogram acquired using a correlative pipeline. These previously published datasets capture a highly transient invasion event by the bacterium Shigella flexneri infecting an epithelial cell grown in culture, and are made available here in their pre-processed form for readers who wish to gain hands-on experience in image processing and correlation using existing data. In this guide we describe a simple protocol for correlation based on internal sample features clearly visible by both fluorescence and electron microscopy, which is normally sufficient when correlating standard fluorescence microscopy stacks with FIB/SEM data. While the guide describes the treatment of specific datasets, it is applicable to a wide variety of samples and different microscopy approaches that require basic correlation and visualization of two or more datasets in a single integrated framework.

On-section correlative light and electron microscopy of large cellular volumes using STEM tomography

The application of both fluorescence and electron microscopy results in a powerful combination of imaging modalities called "correlative light and electron microscopy" (CLEM). Whereas conventional transmission electron microscopy (TEM) tomography is only able to image sections up to a thickness of ~300nm, scanning transmission electron microscopy (STEM) tomography at 200kV allows the analysis of sections up to a thickness of 900nm in three dimensions. In the current study we have successfully integrated STEM tomography into CLEM as demonstrated for human retinal pigment epithelial 1 (RPE1) cells expressing various fluorescent fusion proteins which were high-pressure frozen and then embedded in Lowicryl HM20. Fluorescently labeled gold nanoparticles were applied onto resin sections and imaged by fluorescence and electron microscopy. STEM tomograms were recorded at regions of interest, and overlays were generated using the eC-CLEM software package. Through the nuclear staining of living cells, the use of fluorescently labeled gold fiducials for the generation of overlays, and the integration of STEM tomography we have markedly extended the application of the Kukulski protocol (Kukulski et al., 2011, 2012). Various fluorescently tagged proteins localizing to different cellular organelles could be assigned to their ultrastructural compartments. By combining STEM tomography with on-section CLEM, fluorescently tagged proteins can be localized in three-dimensional ultrastructural environments with a volume of at least 2.7×2.7×0.5μm.

Integrated super resolution fluorescence microscopy and transmission electron microscopy

In correlative light and electron microscopy (CLEM), the capabilities of fluorescence microscopy (FM) and electron microscopy (EM) are united. FM combines a large field of view with high sensitivity for detecting fluorescence, which makes it an excellent tool for identifying regions of interest. EM has a much smaller field of view but offers superb resolution that allows studying cellular ultrastructure. In CLEM, the potentials of both techniques are combined but a limiting factor is the large difference in resolution between the two imaging modalities. Adding super resolution FM to CLEM reduces the resolution gap between FM and EM; it offers the possibility of identifying multiple targets within the diffraction limit and can increase correlation accuracy. CLEM is usually carried out in two separate setups, which requires transfer of the sample. This may result in distortion and damage of the specimen, which can complicate finding back regions of interest. By integrating the two imaging modalities, such problems can be avoided. Here, an integrated super resolution correlative microscopy approach is presented based on a wide-field super resolution FM integrated in a Transmission Electron Microscope (TEM). Switching imaging modalities is accomplished by rotation of the TEM sample holder. First imaging experiments are presented on sections of Lowicryl embedded Human Umbilical Vein Endothelial Cells labeled for Caveolin both with Protein A-Gold, and Alexa Fluor®647. TEM and FM images were overlaid using fiducial markers visible in both imaging modalities with an overlay accuracy of 28 ± 11 nm. This is close to the optical resolution of ~50 nm.

Precise correlative method of Cryo-SXT and Cryo-FM for organelle identification

Cryogenic soft X-ray tomography (Cryo-SXT) is ideally suitable to image the 3D sub-cellular architecture and organization of cells with high resolution in the near-native preservation state. Cryogenic fluorescence microscopy (Cryo-FM) can determine the location of a molecule of interest that has been labeled with a fluorescent tag, thus revealing the function of the cells. To understand the relations between the sub-cellular architecture and the function of cells, correlative Cryo-SXT and Cryo-FM was applied. This method required the matching of images of different modalities, and the accuracy of the matching is important. Here, a precise correlative method of Cryo-SXT and Cryo-FM is introduced. The capability of matching images of different modalities with high resolution was verified by simulations and practical experiments, and the method was used to identify vacuoles and mitochondria.

Correlative light and scanning electron microscopy (CLSEM) for analysis of bacterial infection of polarized epithelial cells

Infection of mammalian host cells by bacterial pathogens is a highly dynamic process and microscopy is instrumental to reveal the cellular and molecular details of host-pathogen interactions. Correlative light and electron microscopy (CLEM) combines the advantages of three-dimensional live cell imaging with ultrastructural analysis. The analyses of adhesion to, and invasion of polarized epithelial cells by pathogens often deploys scanning electron microscopy (SEM), since surface structures of the apical brush border can be analyzed in detail. Most available CLEM approaches focus on relocalization of separated single cells in different imaging modalities, but are not readily applicable to polarized epithelial cell monolayers, since orientation marks on substrate are overgrown during differentiation. To address this problem, we developed a simple and convenient workflow for correlative light and scanning electron microscopy (CLSEM), using gold mesh grids as carrier for growth of epithelial cell monolayers, and for imaging infection. The approach allows fast live cell imaging of bacterial infection of polarized cells with subsequent analyses by SEM. As examples for CLSEM applications, we investigated trigger invasion by Salmonella enterica, zipper invasion by Listeria monocytogenes, and the enterocyte attachment and effacement phenotype of enteropathogenic Escherichia coli. Our study demonstrates the versatile use of gold mesh grids for CLSEM of the interaction of bacterial pathogens with the apical side of polarized epithelial cells.