Immune cells mediate acute and chronic renal failure in native and transplanted kidneys, initiating auto- and allo-immunity, and acting as effectors in other diseases such as diabetes, hypertension, and cancer. Many drugs already in use or in development for these diseases target the putative immune mechanisms at play, based on in vitro cell experiments and animal models. Here, we review how recent and upcoming advanced tissue imaging techniques-many of them applicable to human kidney samples as well as animal models-could further improve drug development by providing insights into immune cell types, activation states, and behaviours in kidney disease. We illustrate an innovative cross-scale multimodal imaging pipeline and its application to the investigation of immune cells in human kidney samples.

Mitochondria are highly dynamic, double-membrane organelles that play integral roles beyond energy production. Mitochondria adapt their morphology to meet diverse cellular demands, and highly plastic mitochondrial networks interact and communicate with various cellular components to maintain cellular health. Advances in both light and electron microscopy (EM) have greatly enhanced our understanding of mitochondrial structure and function. However, the small diameter of mitochondrial tubules, often near the diffraction limit of light, poses challenges for visualizing submitochondrial structures and protein distributions with conventional microscopy. Recently, super-resolution microscopy has offered unprecedented insights into mitochondrial dynamics, interactions and architecture. In this Review, we discuss how imaging techniques have advanced our understanding of mitochondrial biology. We critically assess the contributions of two-dimensional EM to elucidating the native architecture of cristae and respiratory chain complexes. Additionally, we explore how three-dimensional EM and super-resolution methods have reshaped our comprehension of mitochondrial network dynamics, heterogeneity and interactions with other cellular components. Finally, we discuss the strengths and limitations of various approaches, considering their potential to overcome current challenges and open new avenues in mitochondrial research, and illuminate how advanced microscopy continues to drive discoveries in mitochondrial biology with implications for metabolic diseases and aging.

Abstract Serial Block Face – Scanning Electron Microscopy (SBF-SEM) is a volume EM method suited to investigate the 3D architecture of tissues and even entire organisms at high resolution. However, imaging large volumes in their entirety is time-consuming and not always necessary. Many research projects have a focused interest in well-defined sub-regions of the samples. The targeting and acquisition of such regions of interest (ROIs) are however currently conducted in a manual way and require heavy involvement of experienced operators. We present a workflow and an original open-source software tool (iSBEM), which allow automated targeting of ROIs in a large tissue sample, based on X-ray microscopy (XRM) maps. After an initial ROI identification and registration of the XRM map with the sample mounted on the SBF-SEM stage, iSBEM takes over the control of the microscope, triggering high resolution acquisitions at defined ROI positions, with minimal user intervention. We demonstrate the approach on two biologically distinct specimens — malarial oocysts in infected mosquito midgut tissue, and immune cells in human kidney biopsies — achieving significant improvement in acquisition throughput relative to manual operations, without compromising targeting precision. We also showcase the workflow in a correlative light-Xray-electron microscopy setup, which allowed us to further improve the correct target definition.

Within the human host, the symptoms of malaria are caused by the replication of malaria parasites within erythrocytes. Growth inside the erythrocyte exposes the parasites to the normal surveillance of erythrocytes by the host organism, in particular the clearance of erythrocytes in the spleen. Here we show that the malaria parasite Plasmodium falciparum undergoes a rapid, multi-step metamorphosis that transforms the invasive merozoite into an amoeboid-shaped cell within minutes after invading erythrocytes. This transformation involves an increase in the parasite surface area and is mediated by factors already present in the merozoite, including the parasite phospholipid transfer protein PV6. Parasites lacking PV6 do not assume an amoeboid form and instead are spherical and have a smaller surface area than amoeboid forms. Furthermore, erythrocytes infected with P. falciparum parasites lacking PV6 undergo a higher loss of surface area upon infection, which affects the traversal of infected erythrocytes through the spleen. This is the first evidence that after invasion, the parasite undergoes a rapid, complex metamorphosis within the host erythrocyte that promotes survival in the host.

Coordinated collaboration is essential to realize the added value of and infrastructure requirements for global image data sharing in the life sciences. In this White Paper, we take a first step at presenting some of the most common use cases as well as critical/emerging use cases of (including the use of artificial intelligence for) biological and medical image data, which would benefit tremendously from better frameworks for sharing (including technical, resourcing, legal, and ethical aspects). In the second half of this paper, we paint an ideal world scenario for how global image data sharing could work and benefit all life sciences and beyond. As this is still a long way off, we conclude by suggesting several concrete measures directed toward our institutions, existing imaging communities and data initiatives, and national funders, as well as publishers. Our vision is that within the next ten years, most researchers in the world will be able to make their datasets openly available and use quality image data of interest to them for their research and benefit. This paper is published in parallel with a companion White Paper entitled Harmonizing the Generation and Pre-publication Stewardship of FAIR Image Data, which addresses challenges and opportunities related to producing well-documented and high-quality image data that is ready to be shared. The driving goal is to address remaining challenges and democratize access to everyday practices and tools for a spectrum of biomedical researchers, regardless of their expertise, access to resources, and geographical location.

Cryptosporidium is a common intestinal infection of vertebrates and a significant threat to public health. Within the epithelial layer of the intestine, the parasite invades and replicates. Infected cells are readily detected under a microscope by the presence of elongated microvilli, particularly around the vacuole where the parasite resides. Here, we identify a family of Cryptosporidium virulence factors that are exported into the host cell during infection and localize to the microvilli. We examine the trafficking and function of the most highly expressed family member, Microvilli protein 1 (MVP1), which appears to control the elongation of microvilli through engagement of host EBP50 and CDC42. Remarkably, this mechanism closely mirrors that of an enteropathogenic Escherichia coli virulence factor, MAP, which is also known to drive host microvilli elongation during infection. This highlights a unique instance where eukaryotic and prokaryotic virulence factors have convergently evolved to modulate host actin structures through a similar mechanism.

Volume correlative light and electron microscopy (vCLEM) is a powerful imaging technique that enables the visualization of fluorescently labeled proteins within their ultrastructural context. Currently, vCLEM alignment relies on time-consuming and subjective manual methods. This paper presents CLEM-Reg, an algorithm that automates the three-dimensional alignment of vCLEM datasets by leveraging probabilistic point cloud registration techniques. Point clouds are derived from segmentations of common structures in each modality, created by state-of-the-art open-source methods. CLEM-Reg drastically reduces the registration time of vCLEM datasets to a few minutes and achieves correlation of fluorescent signal to submicron target structures in electron microscopy on three newly acquired vCLEM benchmark datasets. CLEM-Reg was then used to automatically obtain vCLEM overlays to unambiguously identify TGN46-positive transport carriers involved in protein trafficking between the trans-Golgi network and plasma membrane. Datasets are available on EMPIAR and BioStudies, and a napari plugin is provided to aid end-user adoption.

Tissue microenvironments are extremely complex and heterogeneous. It is challenging to study metabolic interaction between the different cell types in a tissue with the techniques that are currently available. Here we describe a multimodal imaging pipeline that allows cell type identification and nanoscale tracing of stable isotope-labeled compounds. This pipeline extends upon the principles of correlative light, electron and ion microscopy, by combining confocal microscopy reporter or probe-based fluorescence, electron microscopy, stable isotope labeling and nanoscale secondary ion mass spectrometry. We apply this method to murine models of hepatocellular and mammary gland carcinomas to study uptake of glucose derived carbon (13C) and glutamine derived nitrogen (15N) by tumor-associated immune cells. In vivo labeling with fluorescent-tagged antibodies (B220, CD3, CD8a, CD68) in tandem with confocal microscopy allows for the identification of specific cell types (B cells, T cells and macrophages) in the tumor microenvironment. Subsequent image correlation with electron microscopy offers the contrast and resolution to image membranes and organelles. Nanoscale secondary ion mass spectrometry tracks the enrichment of stable isotopes within these intracellular compartments. The whole protocol described here would take ~6 weeks to perform from start to finish. Our pipeline caters to a broad spectrum of applications as it can easily be adapted to trace the uptake and utilization of any stable isotope-labeled nutrient, drug or a probe by defined cellular populations in any tissue in situ. Evaluating the metabolic organization of complex tissue microenvironments is useful for understanding cellular function within tissues. This protocol describes a multimodal imaging pipeline for cell type identification and stable isotope imaging.

Visual proteomics (VP) aims to allow researchers to visualise, measure and analyse proteins in the context of cell and tissue structure in health and disease. VP is becoming a reality through technological advances across several domains, including in situ structural biology and correlative light and electron microscopy (CLEM). However, widespread adoption remains limited due to the complexity and cost of the various VP approaches reported to date. Here we present the VP-CLEM-Kit, a disruptive cost-effective pipeline for super resolution volume CLEM (SR-vCLEM) that can be implemented with minimal advanced electron microscopy expertise and equipment, making it accessible to light microscopy facilities and research labs. SR-vCLEM is based on in-resin fluorescence (IRF), where fluorophores are preserved through processing into resin. The easyIRF protocol reported here reduces the requirement for complex costly sample preparation equipment and toxic chemicals compared to standard IRF protocols. easyIRF blocks are cut into ultrathin sections that are imaged using ‘tomoSTORM’, a new modular and cost-effective openFrame -based light microscope controlled by the open-source software package Micro-Manager that provides serial single molecule localisation microscopy in array tomography format. Sections are then post-stained and imaged using a tabletop scanning electron microscope controlled by open-source SBEMimage software to run in array tomography format. We demonstrate the potential of the VP-CLEM-Kit by imaging organelle reporters in human cell lines and stem cell derived neurons, fluorescently labelled protein in neurons, and immunolabelled cells in human kidney biopsy tissue from transplant patients. The VP-CLEM-Kit delivers a ∼5-fold improvement in resolution at a ∼7-fold lower cost, and thus provides new technical capability as well as a blueprint for more equitable access to advanced imaging workflows. ### Competing Interest Statement The authors have declared no competing interest.

The Cryptosporidium parasite is one of the leading causes of diarrheal morbidity and mortality in children, and adolescent infections are associated with chronic malnutrition. There are no vaccines available for protection and only one drug approved for treatment that has limited efficacy. A major barrier to developing new therapeutics is a lack of foundational knowledge of Cryptosporidium biology, including which parasite genes are essential for survival and virulence. Here, we iteratively improve the tools for genetically manipulating Cryptosporidium and develop a targeted CRISPR-based screening method to rapidly assess how the loss of individual parasite genes influence survival in vivo. Using this method, we examine the parasite's pyrimidine salvage pathway and a set of leading Cryptosporidium vaccine candidates. From this latter group, using inducible knockout, we determined the parasite gene known as Cp23 to be essential for survival in vivo. Parasites deficient in Cp23 were able to replicate within and emerge from infected epithelial cells, yet unable to initiate gliding motility which is required for the reinfection of neighbouring cells. The targeted screening method presented here is highly versatile and will enable researchers to more rapidly expand the knowledge base for Cryptosporidium infection biology, paving the way for new therapeutics.

Correlative light and electron microscopy (CLEM) greatly facilitate capturing the ultrastructure of spatially and/or temporally rare events. Here, we present a protocol for targeting regions of interests (ROIs) in tissue endothelial cells (ECs) using X-ray micro-computed tomography (μCT). We describe steps for ROI targeting guided by vasculature patterns and positions of EC nuclei visualized by light and X-ray microscopy. The protocol is applicable to thin or translucent tissues that contain defined landmarks visible in both light and X-ray microscopy.For complete details on the use and execution of this protocol, please refer to Reglero-Real et al.1

This protocol details the fixation of 1 mm diameter human kidney needle core biopsies in the clinic, compatible with ultrastructural and molecular preservation for downstream clinical research applications, including those that use high resolution imaging with light, X-ray and electron microscopes.

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.

Biology spans a continuum of length and time scales. Individual experimental methods only glimpse discrete pieces of this spectrum but can be combined to construct a more holistic view. In this Review, we detail the latest advancements in volume electron microscopy (vEM) and cryo-electron tomography (cryo-ET), which together can visualize biological complexity across scales from the organization of cells in large tissues to the molecular details inside native cellular environments. In addition, we discuss emerging methodologies for integrating three-dimensional electron microscopy (3DEM) imaging with multimodal data, including fluorescence microscopy, mass spectrometry, single-particle analysis, and AI-based structure prediction. This multifaceted approach fills gaps in the biological continuum, providing functional context, spatial organization, molecular identity, and native interactions. We conclude with a perspective on incorporating diverse data into computational simulations that further bridge and extend length scales while integrating the dimension of time.

Entosis is a form of cell cannibalism prevalent in human tumours. During entosis, one live and viable epithelial cell is completely internalised by another, then housed inside a large, single-membrane, endolysosomal vacuole in the host cytosol. The composition and maturation of this specialised, macroendocytic compartment has not been fully defined, but ultimately, the inner cell is killed and digested by host lysosomes. Here, we investigate the molecular characteristics and maturation profile of the entotic vacuole. Like phagosomes and macropinosomes, this vacuole undergoes a series of phospholipid modifications, but its maturation profile bears distinctive dynamics. While PI(4,5)P2 is lost rapidly during phagosome maturation, entosis yields an unusual, intracellular PI(4,5)P2-positive compartment, that can persist for hours, suggesting vacuole maturation is uncoupled from membrane scission. Loss of PI(4,5)P2 is eventually triggered, a requisite step for lysosomal killing of the internalised cell. More broadly, PI(4,5)P2-positive vacuoles also form during T-cell engulfment by thymic nurse cells, dependent on ROCK activity, suggesting this distinctive compartment represents a shared feature of entosis-like cell engulfments. ### Competing Interest Statement The authors have declared no competing interest.

Correlative multimodal imaging is a useful approach to investigate complex structural relations in life sciences across multiple scales. For these experiments, sample preparation workflows that are compatible with multiple imaging techniques must be established. In one such implementation, a fluorescently labeled region of interest in a biological soft tissue sample can be imaged with light microscopy before staining the specimen with heavy metals, enabling follow-up higher resolution structural imaging at the targeted location, bringing context where it is required. Alternatively, or in addition to fluorescence imaging, other microscopy methods, such as synchrotron x-ray computed tomography with propagation-based phase contrast or serial blockface scanning electron microscopy, might also be applied. When combining imaging techniques across scales, it is common that a volumetric region of interest (ROI) needs to be carved from the total sample volume before high resolution imaging with a subsequent technique can be performed. In these situations, the overall success of the correlative workflow depends on the precise targeting of the ROI and the trimming of the sample down to a suitable dimension and geometry for downstream imaging. Here, we showcase the utility of a femtosecond laser (fs laser) device to prepare microscopic samples (1) of an optimized geometry for synchrotron x-ray tomography as well as (2) for volume electron microscopy applications and compatible with correlative multimodal imaging workflows that link both imaging modalities.

For its replication within red blood cells, the malaria parasite depends on a highly active and regulated lipid metabolism. Enzymes involved in lipid metabolic processes such as phospholipases are, therefore, potential drug targets. Here, using reverse genetics approaches, we show that only 1 out of the 19 putative phospholipases expressed in asexual blood stages of Plasmodium falciparum is essential for proliferation in vitro, pointing toward a high level of redundancy among members of this enzyme family. Using conditional mislocalization and gene disruption techniques, we show that this essential phosphoinositide-specific phospholipase C (PI-PLC, PF3D7_1013500) has a previously unrecognized essential role during intracellular parasite maturation, long before its previously perceived role in parasite egress and invasion. Subsequent lipidomic analysis suggests that PI-PLC mediates cleavage of phosphatidylinositol bisphosphate (PIP2) in schizont-stage parasites, underlining its critical role in regulating phosphoinositide levels in the parasite. IMPORTANCE The clinical symptoms of malaria arise due to repeated rounds of replication of Plasmodium parasites within red blood cells (RBCs). Central to this is an intense period of membrane biogenesis. Generation of membranes not only requires de novo synthesis and acquisition but also the degradation of phospholipids, a function that is performed by phospholipases. In this study, we investigate the essentiality of the 19 putative phospholipase enzymes that the human malaria parasite Plasmodium falciparum expresses during its replication within RBCs. We not only show that a high level of functional redundancy exists among these enzymes but, at the same time, also identify an essential role for the phosphoinositide-specific phospholipase C in parasite development and cleavage of the phospholipid phosphatidylinositol bisphosphate.

Supplementary Movie 3 from Intravital Imaging Reveals Transient Changes in Pigment Production and Brn2 Expression during Metastatic Melanoma Dissemination