Estimating the dynamic range of quantitative single-molecule localization microscopy

The „Resolution Revolution in fluorescence microscopy over the last decade has given rise to a variety of techniques that allow imaging beyond the diffraction limit with a resolution power down into the nanometer range. With this, the field of so-called super-resolution microscopy was born. It allows to visualize cellular architecture at a molecular level and thereby achieve a resolution level that had been previously only accessible by electron microscopy approaches. One of these promising techniques is single molecule localization microscopy (SMLM) in its most varied forms such as direct stochastic optical reconstruction microscopy (dSTORM) which are based on the temporal separation of the emission of individual fluorophores. Localization analysis of the subsequently taken images of single emitters eventually allows to reconstruct an image containing super-resolution information down to typically 20 nm in a cellular setting. The key point here is the localization precision, which mainly depends on the image contrast generated the by the individual fluorophore’s emission. Thus, measures to enhance the signal intensity or reduce the signal background allow to increase the image resolution achieved by dSTORM. In my thesis, this is achieved by simply adding a reflective metal-dielectric nano-coating to the microscopy coverslip that serves as a tunable nano-mirror. I have demonstrated that such metal-dielectric coatings provide higher photon yield at lower background and thus substantially improve SMLM performance by a significantly increased localization precision, and thus ultimately higher image resolution. The strength of this approach is that ─ except for the coated cover glass ─ no specialized setup is required. The biocompatible metal-dielectric nano-coatings are fabricated directly on microscopy coverslips and have a simple three-ply design permitting straightforward implementation into a conventional fluorescence microscope. The introduced improved lateral resolution with such mirror-enhanced STORM (meSTORM) not only allows to exceed Widefield and Total Internal Reflection Fluorescence (TIRF) dSTORM performance, but also offers the possibility to measure in a simplified setup as it does not require a special TIRF objective lens. The resolution improvement achieved with meSTORM is both spectrally and spatially tunable and thus allows for dual-color approaches on the one hand, and selectively highlighting region above the cover glass on the other hand, as demonstrated here. Beyond lateral resolution enhancement, the clear-cut profile of the highlighted region provides additional access to the axial dimension. As shown in my thesis, this allows for example to assess the three-dimensional architecture of the intracellular microtubule network by translating the local localization uncertainty to a relative axial position. Even beyond meSTORM, a wide range of membrane or surface imaging applications may benefit from the selective highlighting and fluorescence enhancing provided by the metal-dielectric nano-coatings. This includes for example, among others, live-cell Fluorescence Correlation Spectroscopy and Fluorescence Resonance Energy Transfer studies as recently demonstrated.

The plasma membrane is one of the most thoroughly studied and at the same time most complex, diverse, and least understood cellular structures. Its function is determined by the molecular composition as well as the spatial arrangement of its components. Even after decades of extensive membrane research and the proposal of dozens of models and theories, the structural organization of plasma membranes remains largely unknown. Modern imaging tools such as super-resolution fluorescence microscopy are one of the most efficient techniques in life sciences and are widely used to study the spatial arrangement and quantitative behavior of biomolecules in fixed and living cells. In this work, direct stochastic optical reconstruction microscopy (dSTORM) was used to investigate the structural distribution of mem-brane components with virtually molecular resolution. Key issues are different preparation and staining strategies for membrane imaging as well as localization-based quantitative analyses of membrane molecules. An essential precondition for the spatial and quantitative analysis of membrane components is the prevention of photoswitching artifacts in reconstructed localization microscopy images. Therefore, the impact of irradiation intensity, label density and photoswitching behavior on the distribution of plasma membrane and mitochondrial membrane proteins in dSTORM images was investigated. It is demonstrated that the combination of densely labeled plasma membranes and inappropriate photoswitching rates induces artificial membrane clusters. Moreover, inhomogeneous localization distributions induced by projections of three-dimensional membrane structures such as microvilli and vesicles are prone to generate artifacts in images of biological membranes. Alternative imaging techniques and ways to prevent artifacts in single-molecule localization microscopy are presented and extensively discussed. Another central topic addresses the spatial organization of glycosylated components covering the cell membrane. It is shown that a bioorthogonal chemical reporter system consisting of modified monosaccharide precursors and organic fluorophores can be used for specific labeling of membrane-associated glycoproteins and –lipids. The distribution of glycans was visualized by dSTORM showing a homogeneous molecule distribution on different mammalian cell lines without the presence of clusters. An absolute number of around five million glycans per cell was estimated and the results show that the combination of metabolic labeling, click chemistry, and single-molecule localization microscopy can be efficiently used to study cell surface glycoconjugates. In a third project, dSTORM was performed to investigate low-expressing receptors on cancer cells which can act as targets in personalized immunotherapy. Primary multiple myeloma cells derived from the bone marrow of several patients were analyzed for CD19 expression as potential target for chimeric antigen receptor (CAR)-modified T cells. Depending on the patient, 60–1,600 CD19 molecules per cell were quantified and functional in vitro tests demonstrate that the threshold for CD19 CAR T recognition is below 100 CD19 molecules per target cell. Results are compared with flow cytometry data, and the important roles of efficient labeling and appropriate control experiments are discussed.

Single-molecule localization microscopy provides subdiffraction resolution images with virtually molecular resolution. Through the availability of commercial instruments and open-source reconstruction software, achieving super resolution is now public domain. However, despite its conceptual simplicity, localization microscopy remains prone to user errors. Using direct stochastic optical reconstruction microscopy, we investigate the impact of irradiation intensity, label density and photoswitching behavior on the distribution of membrane proteins in reconstructed super-resolution images. We demonstrate that high emitter densities in combination with inappropriate photoswitching rates give rise to the appearance of artificial membrane clusters. Especially, two-dimensional imaging of intrinsically three-dimensional membrane structures like microvilli, filopodia, overlapping membranes and vesicles with high local emitter densities is prone to generate artifacts. To judge the quality and reliability of super-resolution images, the single-molecule movies recorded to reconstruct the images have to be carefully investigated especially when investigating membrane organization and cluster analysis.

Superresolution microscopy by single-molecule photoactivation or photoswitching and position determination (localization microscopy) has the potential to fundamentally revolutionize our understanding of how cells function at a molecular level. Single-molecule localization microscopy (SMLM) can provide single-molecule information about the distribution and even the absolute numbers of proteins in subcellular compartments. During this webinar, our speakers will introduce the basic requirements of SMLM and its potential use for quantitative molecular imaging. Obstacles and how to bypass them will be discussed, as well as the advantages of direct stochastic optical reconstruction microscopy (dSTORM) for quantitative imaging of proteins. Furthermore, the influence of different environmental and artificial variables on the survival of different cell lines will be demonstrated. The speakers will present data on different image capture technologies for SMLM, focusing on electron multiplying charge-coupled device (EMCCD) and scientific complementary metal-oxide semiconductor (sCMOS) cameras, discussing frame rates and the need for sensitive detectors to harvest the comparatively low light levels associated with single-molecule fluorescence emission. Information on how to optimize your camera setup for superresolution imaging will also be provided.

Super-resolution fluorescence microscopy, also known as nanoscopy, has provided us with a glimpse of future impacts on cell biology. Far-field optical nanoscopy allows, for the first time, the study of sub-cellular nanoscale biological structures in living cells, which in the past was limited to electron microscopy (EM) (in fixed/dehydrated) cells or tissues. Nanoscopy has particular utility in the study of “fenestrations” – phospholipid transmembrane nanopores of 50–150 nm in diameter through liver sinusoidal endothelial cells (LSECs) that facilitate the passage of plasma, but (usually) not blood cells, to and from the surrounding hepatocytes. Previously, these fenestrations were only discernible with EM, but now they can be visualized in fixed and living cells using structured illumination microscopy (SIM) and in fixed cells using single molecule localization microscopy (SMLM) techniques such as direct stochastic optical reconstruction microscopy. Importantly, both methods use wet samples, avoiding dehydration artifacts. The use of nanoscopy can be extended to the in vitro study of fenestration dynamics, to address questions such as the following: are they actually dynamic structures, and how do they respond to endogenous and exogenous agents? A logical further extension of these methodologies to liver research (including the liver endothelium) will be their application to liver tissue sections from animal models with different pathological manifestations and ultimately to patient biopsies. This review will cover the current state of the art of the use of nanoscopy in the study of liver endothelium and the liver in general. Potential future applications in cell biology and the clinical implications will be discussed.

Three-dimensional single-molecule localization microscopy with metal-induced energy transfer.

The advent of superresolution imaging has created a strong need for both optimized labeling strategies and analysis methods to probe the nanoscale organization of complex biological structures. We present a thorough description of the distribution of synaptic adhesion proteins at the nanoscopic scale, namely presynaptic neurexin-[Formula: see text] ([Formula: see text]), and its two postsynaptic binding partners neuroligin-1 (Nlg1) and leucine-rich-repeat transmembrane protein 2 (LRRTM2). We monitored these proteins in the membrane of neurons by direct stochastic optical reconstruction microscopy, after live surface labeling with Alexa647-conjugated monomeric streptavidin. The small probe ([Formula: see text]) efficiently penetrates into crowded synaptic junctions and reduces the distance to target. We quantified the organization of the single-molecule localization data using a tesselation-based analysis technique. We show that Nlg1 exhibits a fairly disperse organization within dendritic spines, while LRRTM2 is organized in compact domains, and [Formula: see text] in presynaptic terminals displays a dual-organization pattern intermediate between that of Nlg1 and LRRTM2. These results suggest that part of [Formula: see text] interacts transsynaptically with Nlg1 and the other part with LRRTM2.

The natural characteristics of deoxyribonucleic acid (DNA) enable its advanced applications in nanotechnology as a special tool that can be detected by high-resolution imaging with precise localization. Super-resolution (SR) microscopy enables the examination of nanoscale molecules beyond the diffraction limit. With the development of SR microscopy methods, DNA nanostructures can now be optically assessed. Using the specific binding of fluorophores with their target molecules, advanced single-molecule localization microscopy (SMLM) has been expanded into different fields, allowing wide-range detection at the single-molecule level. This review discusses the recent progress in the SR imaging of DNA nano-objects using SMLM techniques, such as direct stochastic optical reconstruction microscopy, binding-activated localization microscopy, and point accumulation for imaging nanoscale topography. Furthermore, we discuss their advantages and limitations, present applications, and future perspectives.

ABSTRACTMycoplasmas are the smallest free-living organisms. These bacteria are important models for both fundamental and synthetic biology, owing to their highly reduced genomes. They are also relevant in the medical and veterinary fields, as they are pathogenic to both humans and most livestock species. Mycoplasma cells have minute sizes, often in the 300- to 800-nm range. As these dimensions are close to the diffraction limit of visible light, fluorescence imaging in mycoplasmas is often poorly informative. Recently developed superresolution imaging techniques can break this diffraction limit, improving the imaging resolution by an order of magnitude and offering a new nanoscale vision of the organization of these bacteria. These techniques have, however, not been applied to mycoplasmas before. Here, we describe an efficient and reliable protocol to perform single-molecule localization microscopy (SMLM) imaging in mycoplasmas. We provide a polyvalent transposon-based system to express the photoconvertible fluorescent protein mEos3.2, enabling photo-activated localization microscopy (PALM) in most Mycoplasma species. We also describe the application of direct stochastic optical reconstruction microscopy (dSTORM). We showcase the potential of these techniques by studying the subcellular localization of two proteins of interest. Our work highlights the benefits of state-of-the-art microscopy techniques for mycoplasmology and provides an incentive to further the development of SMLM strategies to study these organisms in the future.IMPORTANCE Mycoplasmas are important models in biology, as well as highly problematic pathogens in the medical and veterinary fields. The very small sizes of these bacteria, well below a micron, limits the usefulness of traditional fluorescence imaging methods, as their resolution limit is similar to the dimensions of the cells. Here, to bypass this issue, we established a set of state-of-the-art superresolution microscopy techniques in a wide range of Mycoplasma species. We describe two strategies: PALM, based on the expression of a specific photoconvertible fluorescent protein, and dSTORM, based on fluorophore-coupled antibody labeling. With these methods, we successfully performed single-molecule imaging of proteins of interest at the surface of the cells and in the cytoplasm, at lateral resolutions well below 50 nm. Our work paves the way toward a better understanding of mycoplasma biology through imaging of subcellular structures at the nanometer scale.

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In Alzheimer's disease (AD), the pathological accumulation of tau in synapses contributes to synapse dysfunction and loss. However, the small and complex structure of synapses limits the investigation when using conventional techniques. In this work, we describe the combination of array tomography (AT) with two-colour direct stochastic optical reconstruction microscopy (dSTORM) to enhance lateral resolution for resolving synaptic terminals in human postmortem brain. We applied this combination to study synapses in brain samples (from biopsy and postmortem) from healthy subjects and pathological synaptic tau (aggregates and oligomers) in samples from AD patients. AT combined with dSTORM allowed the characterisation of the orientation and shape of the synaptic terminals and the synaptic cleft. In addition, this combination confirmed the presence of oligomeric tau in synaptic terminals in AD. Overall, we found that the combination of AT and two-colour dSTORM provides optimal resolution to detect pathological synaptic tau and its spatial relationship with presynaptic and postsynaptic terminals.

The kinetochore is a chromatin-protein complex on the chromosome centromere. Kinetochore attache chromosomes to the microtubules of the spindle apparatus, recognize attachment to microtubules, and regulate the progress of mitosis. The kinetochore protein complex is built on the periphery centromere chromatin. It seems that kinetochores react to forces of the spindle apparatus microtubules in their interior. Due to the limited resolving power of the optical microscope and limitations of electron microscopy, the spatial arrangement of kinetochore protein and chromatin complex is unresolved. In this thesis, the human periphery centromere chromatin assembled with CENP-A (kinetochore chromatin in further text), on which kinetochore complex is built, was imaged by high-resolution optical microscopy called direct Stochastic Optical Reconstruction Microscopy (dSTORM). Resolving power of less than 30 nm was achieved, and the architecture of more than 900 kinetochores in different sub-stages of interphase and mitosis was resolved. Kinetochore chromatin was formed in a rectangle between 250 and 400 nm long and between 150 and 270 nm wide. It was composed of parallel and orthogonal lines between 12 and 75 nm wide. The arrangement of kinetochore chromatin in mitosis was narrower and longer than in interphase. In interphase, subtle changes in the dimensions of kinetochore lines were measured. The mitotic toxin nocodazole disturbed kinetochore chromatin organization. The discovered change of arrangement of the kinetochore chromatin assembled with CENP-A during the cell cycle could be the physical mechanism of recognition of proper attachment and positioning of the chromosomes at the equatorial plate. Based on the discovered kinetochore structure and behavior in the cell cycle, a new shoo-lace model of assembly and function of kinetochore chromatin is suggested.

Superresolution microscopy offers the advantage of imaging biological structures within cells at the nano-scale. Here we apply two superresolution microscopy techniques, specifically 3D structured illumination microscopy (3D-SIM) and direct stochastic optical reconstruction microscopy (dSTORM), a type of single molecule localisation microscopy, to localise IRSp53 protein and its I-BAR domain in relation to F-actin within filopodia. IRSp53 generates dynamic (extending and retracting) filopodia 300 nm wide with a distinct gap between IRSp53 and F-actin. By contrast, protrusions induced by the I-BAR domain alone are non-dynamic measuring between 100–200 nm in width and exhibit a comparatively closer localisation of the I-BAR domain with the F-actin. The data suggest that IRSp53 membrane localisation is spatially segregated to the lateral edges of filopodia, in contrast to the I-BAR domain is uniformly distributed throughout the membranes of protrusions. Modeling of fluorescence recovery after photobleaching (FRAP) data suggests that a greater proportion of I-BAR domain is associated with membranes when compared to full length IRSp53. The significance of this new data relates to the role filopodia play in cell migration and its importance to cancer.

Caveolae are plasma membrane invaginations whose formation requires caveolin-1 (Cav1), the adaptor protein polymerase I, and the transcript release factor (PTRF or CAVIN1). Caveolae have an important role in cell functioning, signaling, and disease. In the absence of CAVIN1/PTRF, Cav1 forms non-caveolar membrane domains called scaffolds. In this work, we train machine learning models to automatically distinguish between caveolae and scaffolds from single molecule localization microscopy (SMLM) data. We apply machine and deep learning algorithms to discriminate biological structures from SMLM data. Our work is the first that is leveraging machine and deep learning approaches to automatically identifying biological structures from SMLM data. In particular, we develop and compare three binary classification methods to identify whether or not a given 3D cluster of Cav1 proteins is a caveolae. The first uses a random forest classifier applied to 28 hand-picked features, the second uses a convolutional neural net (CNN) applied to a projection of the point clouds onto three planes, and the third uses a PointNet model, a recent development that can directly take point clouds as its input. We validate our methods on a dataset of super-resolution microscopy images of PC3 prostate cancer cells labeled for Cav1. Specifically, we have images from two cell populations: 10 PC3 and 10 CAVIN1/PTRF-transfected PC3 cells (PC3-PTRF cells) that form caveolae. We obtained a balanced set of 1714 different cellular structures. Our results show that both the random forest on hand selected features and the deep learning approach achieve high accuracy in distinguishing the intrinsic features of the caveolae and non-caveolae biological structures. More specifically, both random forest and deep CNN classifiers achieve classification accuracy reaching 94% on our test set, while the PointNet model only reached 83% accuracy. We also discuss the pros and cons of the different approaches. Additional information about individual files is in the accompanying CSV file (item_metadata.csv). This dataset was originally deposited in the Simon Fraser University institutional repository.

Tetraspanin proteins are closely associated with high-curvature membrane structures and play key roles in organizing membrane domains and regulating membrane signaling in immune cells. However, their specific roles in regulating T cell membrane signaling, particularly within the microvilli often characteristic of these cells, remain poorly understood. Here, we used Jurkat T cells as a model system and investigated CD81 as a membrane of the tetraspanin family. Using total internal reflection fluorescence (TIRF) microscopy and structured illumination microscopy (SIM), we identified an enrichment of the tetraspanin CD81 microdomains along the actin-rich membrane microvilli. At the tip of the microvilli, SIM images revealed the spatial colocalization of CD81 with T cell receptors (TCR) and CD63, implying a potential role for CD81 in regulating TCR signaling in conjunction with CD63. Spatial analysis of CD81 and CD63 microdomains from the dual-color SIM data revealed their preference for associating with each other. Cluster analysis of direct stochastic optical reconstruction microscopy (dSTORM) data revealed that in vitro T cell activation results in reduced domain sizes and increased domain separation of CD81. These findings provide visual evidence of the spatial organization and rearrangement of CD81 on the T cell microvilli, highlighting its potential role in signal regulation on specialized membrane protrusions.