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Coherent fluorescence imaging with two objective lenses (4Pi detection) enables single-molecule localization microscopy with sub-10 nm spatial resolution in three dimensions. Despite its outstanding sensitivity, wider application of this technique has been hindered by complex instrumentation and the challenging nature of the data analysis. Here we report the development of a 4Pi-STORM microscope, which obtains optimal resolution and accuracy by modeling the 4Pi point spread function (PSF) dynamically while also using a simpler optical design. Dynamic spline PSF models incorporate fluctuations in the modulation phase of the experimentally determined PSF, capturing the temporal evolution of the optical system. Our method reaches the theoretical limits for precision and minimizes phase-wrapping artifacts by making full use of the information content of the data. 4Pi-STORM achieves a near-isotropic three-dimensional localization precision of 2–3 nm, and we demonstrate its capabilities by investigating protein and nucleic acid organization in primary neurons and mammalian mitochondria.

Dual-objective 4Pi fluorescence detection enables single molecule localization microscopy, e.g. PALM and STORM, with sub-10 nanometer spatial resolution in 3D. Despite its outstanding sensitivity, wider application of this technique has been hindered by complex instrumentation requirements and the challenging nature of the data analysis. The point spread function (PSF) of the 4Pi optical system is difficult to model, leading to periodic image artifacts and compromised resolution. In this work we report the development of a 4Pi-STORM microscope which obtains improved resolution and accuracy by modeling the 4Pi PSF dynamically, while using a simpler optical design. We introduce dynamic spline PSF models, which incorporate fluctuations in the modulation phase of the experimentally determined PSF, capturing the temporal dynamics of the optical system. Our method reaches the theoretical limits for localization precision while largely eliminating phase-wrapping artifacts, by making full use of the information content of the data. With a 3D precision as high as 2 – 3 nanometers, 4Pi-STORM achieves new levels of image detail, and extends the range of biological questions that can be addressed by fluorescence nanoscopy, as we demonstrate by investigating protein and nucleic acid organization in primary neurons and mammalian mitochondria.

Single molecule localization microscopy offers in principle resolution down to the molecular level, but in practice this is limited primarily by incomplete fluorescent labeling of the structure. This missing information can be completed by merging information from many structurally identical particles. In this work, we present an approach for 3D single particle analysis in localization microscopy which hugely increases signal-to-noise ratio and resolution and enables determining the symmetry groups of macromolecular complexes. Our method does not require a structural template, and handles anisotropic localization uncertainties. We demonstrate 3D reconstructions of DNA-origami tetrahedrons, Nup96 and Nup107 subcomplexes of the nuclear pore complex acquired using multiple single molecule localization microscopy techniques, with their structural symmetry deducted from the data., Adaptation of current algorithms to 3D SMLM data is currently problematic. Here the authors report a method that increases the signal-to-noise ratio and resolution of 3D single particle analysis in localization microscopy and enables determination of the symmetry groups of macromolecular complexes.

A modular assembly of water-soluble diarylethenes (DAEs), applicable as biomarkers for optical nanoscopy, is reported. Reversibly photoswitchable 1,2-bis(2-alkyl-6-phenyl-1-benzothiophene-1,1-dioxide-3-yl)perfluorocyclopentenes possessing a fluorescent "closed" form were decorated with one or two methoxy group(s) attached to the para-position(s) of phenyl ring(s) and two, four, or eight carboxylic acid groups. Antibody conjugates of these DAEs feature low aggregation, efficient photoswitching in aqueous buffers, specific staining of cellular structures, and photophysical properties (high emission efficiencies and low cycloreversion quantum yields) enabling their application in superresolution microscopy. Images of tubulin, vimentin, and nuclear pore complexes are presented. The superresolution images can also be acquired by using solely 488 nm light without additional photoactivation with UV light. These DAEs exhibit reversible photoswitching without requiring any additives to the imaging media and open new paths toward the modular design of fluorescent dyes for bioimaging with optical superresolution.

We present an approach for 3D particle fusion in localization microscopy which dramatically increases signal-to-noise ratio and resolution in single particle analysis. Our method does not require a structural template, and properly handles anisotropic localization uncertainties. We demonstrate 3D particle reconstructions of the Nup107 subcomplex of the nuclear pore complex (NPC), cross-validated using multiple localization microscopy techniques, as well as two-color 3D reconstructions of the NPC, and reconstructions of DNA-origami tetrahedrons.

Understanding the complexity of the cellular environment will benefit from the ability to unambiguously resolve multiple cellular components, simultaneously and with nanometer-scale spatial resolution. Multicolor super-resolution fluorescence microscopy techniques have been developed to achieve this goal, yet challenges remain in terms of the number of targets that can be simultaneously imaged and the crosstalk between color channels. Herein, we demonstrate multicolor stochastic optical reconstruction microscopy (STORM) based on a multi-parameter detection strategy, which uses both the fluorescence activation wavelength and the emission color to discriminate between photo-activatable fluorescent probes. First, we obtained two-color super-resolution images using the near-infrared cyanine dye Alexa 750 in conjunction with a red cyanine dye Alexa 647, and quantified color crosstalk levels and image registration accuracy. Combinatorial pairing of these two switchable dyes with fluorophores which enhance photo-activation enabled multi-parameter detection of six different probes. Using this approach, we obtained six-color super-resolution fluorescence images of a model sample. The combination of multiple fluorescence detection parameters for improved fluorophore discrimination promises to substantially enhance our ability to visualize multiple cellular targets with sub-diffraction-limit resolution.

One approach to super-resolution fluorescence imaging uses sequential activation and localization of individual fluorophores to achieve high spatial resolution. Essential to this technique is the choice of fluorescent probes — the properties of the probes, including photons per switching event, on/off duty cycle, photostability, and number of switching cycles, largely dictate the quality of super-resolution images. While many probes have been reported, a systematic characterization of the properties of these probes and their impact on super-resolution image quality has been described in only a few cases. Here, we quantitatively characterized the switching properties of 26 organic dyes and directly related these properties to the quality of super-resolution images. This analysis provides a set of guidelines for characterization of super-resolution probes and a resource for selecting probes based on performance. Our evaluation identified several photoswitchable dyes with good to excellent performance in four independent spectral ranges, with which we demonstrated low crosstalk, four-color super-resolution imaging.

The advent of super-resolution microscopy (nanoscopy) has set high standards for fluorescence tagging. Fluorescent proteins (FPs) are convenient tags in conventional imaging, but their use in nanoscopy has been questioned due to their relatively large size and propensity to form multimers. Here, we compared the nanoscale organization of proteins with or without FP tags by introducing the unnatural amino acid propargyl-L-lysine (PRK) in 26 proteins known to form multimolecular arrangements and into their FP-tagged variants. We revealed the proteins by coupling synthetic fluorophores to PRK via click chemistry and visualized them using ground-state depletion microscopy followed by individual molecule return, as well as stimulated emission depletion microscopy. The arrangements formed by the FP-tagged and nontagged proteins were similar. Mild, but statistically significant differences were observed for only six proteins (23% of all proteins tested). This suggests that FP-based nanoscopy is generally reliable. Unnatural amino acids should be a reliable alternative for the few proteins that are sensitive to FP tagging.

Quantification in localization microscopy with reversibly switchable fluorophores is severely hampered by the unknown number of switching cycles a fluorophore undergoes and the unknown stoichiometry of fluorophores on a marker such as an antibody. We overcome this problem by measuring the average number of localizations per fluorophore, or generally per fluorescently labeled site from the build-up of spatial image correlation during acquisition. To this end we employ a model for the interplay between the statistics of activation, bleaching, and labeling stoichiometry. We validated our method using single fluorophore labeled DNA oligomers and multiple-labeled neutravidin tetramers where we find a counting error of less than 17% without any calibration of transition rates. Furthermore, we demonstrated our quantification method on nanobody- and antibody-labeled biological specimens.

We make localization microscopy with reversibly switchable fluorophores a quantitative imaging technique by measuring the average number of activation events per marker from the buildup of spatial image correlations during image acquisition.

Conventional fluorescence microscopy is limited by its spatial resolution, leaving many biological structures too small to be studied in detail. Stochastic optical reconstruction microscopy (STORM) is a method for superresolution fluorescence imaging based on the high accuracy localization of individual fluorophores. It uses optically switchable fluorophores: molecules that can be switched between a nonfluorescent and a fluorescent state by exposure to light. This protocol describes the transfection of genetically encoded photoswitchable probes for STORM imaging. It includes a discussion of how to choose a photoswitchable fluorescent protein; standard molecular biology techniques should be used to generate a plasmid containing the sequence of the photoswitchable protein linked to the gene of interest. Once the plasmid has been generated and has been verified, it can be introduced into cells via any standard means of gene delivery, such as lipofection or electroporation. Optimal conditions will vary considerably for different cell lines and plasmids. Here, we present an example protocol for the transfection of BS-C-1 cells with an mEos2-vimentin plasmid using the lipid-based reagent FuGENE6.

The connectivity among neurons holds the key to understanding brain function. Mapping neural connectivity in brain circuits requires imaging techniques with high spatial resolution to facilitate neuron tracing and high molecular specificity to mark different cellular and molecular populations. Here, we tested a three-dimensional (3D), multicolor super-resolution imaging method, stochastic optical reconstruction microscopy (STORM), for tracing neural connectivity using cultured hippocampal neurons obtained from wild-type neonatal rat embryos as a model system. Using a membrane specific labeling approach that improves labeling density compared to cytoplasmic labeling, we imaged neural processes at 44 nm 2D and 116 nm 3D resolution as determined by considering both the localization precision of the fluorescent probes and the Nyquist criterion based on label density. Comparison with confocal images showed that, with the currently achieved resolution, we could distinguish and trace substantially more neuronal processes in the super-resolution images. The accuracy of tracing was further improved by using multicolor super-resolution imaging. The resolution obtained here was largely limited by the label density and not by the localization precision of the fluorescent probes. Therefore, higher image resolution, and thus higher tracing accuracy, can in principle be achieved by further improving the label density.

The human brain is a highly sophisticated circuit consisting of hundreds of billions of neurons that are interconnected by an even larger number of synapses. This dense network of neurons and their connections holds key information to understanding normal brain function and perhaps what underlies its disorders. Obtaining a physical map of the brain's connectivity, however, is highly challenging due to the small size and high density of neuronal processes within a given volume. Therefore, in order to generate a map of neuronal connectivity a technique that can provide high spatial resolution and molecular specificity is needed.We are using 3D multi-color stochastic optical reconstruction microscopy (STORM) in order to trace neuronal networks in culture at high spatial resolution. In order to capture an entire network of connections, we are using an automated, motorized piezo stage to image large areas in x-y (≥ 120x120 μm) as well as in z (≥ 2 μm). With this technique we can not only outline neuronal morphology at 30 μm lateral and 50 μm axial resolution, but we can also image synaptic content with high molecular specificity and identify synaptic connections. These techniques will be greatly useful for generating connectional maps of neurons in the mammalian brain and help obtain a physical understanding behind brain function.

Light microscopy is a widely used imaging method in biomedical research. However, the resolution of conventional optical microcopy is limited by the diffraction of light, making structures smaller than 200 nm difficult to resolve. To overcome this limit, we have developed a new form of fluorescence microscopy - Stochastic Optical Reconstruction Microscopy (STORM). STORM makes use of single-molecule imaging methods and photo-switchable fluorescent probes to temporally separate the otherwise spatially overlapping images of individual molecules. An STORM image is acquired over a number of imaging cycles, and in each cycle only a subset of the fluorescent labels is switched on such that each of the active fluorophores is optically resolvable from the rest. This allows the position of these fluorophores to be determined with nanometer accuracy. Over the course of many such cycles, the positions of numerous fluorophores are determined and used to construct a super-resolution image. Using this method, we have demonstrated multi-color, three-dimensional (3D) imaging of biomolecules and cells with ∼ 20 nm lateral and ∼ 50 nm axial resolutions. In principle, the resolution of this technique can reach the molecular scale.

Achieving a spatial resolution that is not limited by the diffraction of light, recent developments of super-resolution fluorescence microscopy techniques allow the observation of many biological structures not resolvable in conventional fluorescence microscopy. New advances in these techniques now give them the ability to image three-dimensional (3D) structures, measure interactions by multicolor colocalization, and record dynamic processes in living cells at the nanometer scale. It is anticipated that super-resolution fluorescence microscopy will become a widely used tool for cell and tissue imaging to provide previously unobserved details of biological structures and processes.

A new form of super-resolution fluorescence microscopy has emerged in recent years, based on the high accuracy localization of individual photo-switchable fluorescent labels. Image resolution as high as 20 nm in the lateral dimensions and 50 nm in the axial direction has been attained with this concept, representing an order of magnitude improvement over the diffraction limit. The demonstration of multicolor imaging with molecular specificity, three-dimensional (3D) imaging of cellular structures, and time-resolved imaging of living cells further illustrates the exciting potential of this method for biological imaging at the nanoscopic scale.

Recent advances in far-field fluorescence microscopy have led to substantial improvements in image resolution, achieving a near-molecular resolution of 20 to 30 nanometers in the two lateral dimensions. Three-dimensional (3D) nanoscale-resolution imaging, however, remains a challenge. We demonstrated 3D stochastic optical reconstruction microscopy (STORM) by using optical astigmatism to determine both axial and lateral positions of individual fluorophores with nanometer accuracy. Iterative, stochastic activation of photoswitchable probes enables high-precision 3D localization of each probe, and thus the construction of a 3D image, without scanning the sample. Using this approach, we achieved an image resolution of 20 to 30 nanometers in the lateral dimensions and 50 to 60 nanometers in the axial dimension. This development allowed us to resolve the 3D morphology of nanoscopic cellular structures.

Quantification in localization microscopy with reversibly switchable fluorophores is severely hampered by the unknown number of switching cycles a fluorophore undergoes and the unknown stoichiometry of fluorophores on a marker such as an antibody. We overcome this problem by measuring the average number of localizations per fluorophore, or generally per fluorescently labeled site from the build-up of spatial image correlation during acquisition. To this end we employ a model for the interplay between the statistics of activation, bleaching, and labeling stoichiometry. We validated our method using single fluorophore labeled DNA oligomers and multiple-labeled neutravidin tetramers where we find a counting error of less than 17% without any calibration of transition rates. Furthermore, we demonstrated our quantification method on nanobody- and antibody-labeled biological specimens.

Novel, advanced imaging tools, like the subdiffraction-limit fluorescence microscopy techniques STORM/PALM (stochastic optical reconstruction microscopy/photoactivation localization microscopy) are exquisitely suited to illuminate and dissect the high complexity and molecular mechanisms of biological processes at nanoscopic scale. These techniques make use of activating only a subset of fluorescent molecules at a time, which allows determining their localization with nanometer precision. Here, we are applying these tools to study the intricate relationship of host-virus interactions at single-particle level, using Influenza virus A as model system.Influenza virions are formed at special “budding sites” at the host cell's plasma membrane but the exact molecular mechanisms and spatio-temporal order of virion assembly/egress are poorly characterized, while constituting attractive targets for anti-viral drugs. Here, we optically “dissect” these processes to obtain a comprehensive assembly model at nanoscale level. We analyzed the spatio-temporal distribution of viral components, including the “spike proteins” hemagglutinin (HA) and neuraminidase (NA), the capsid-forming matrix protein M1, and the nucleoprotein NP, the core of the viral ribonucleoparticles. Using immunofluorescence-based STORM, we detect the various viral constituents at the membrane with high molecular specificity and sensitivity at a resolution of ∼ 30nm. Viral protein clusters grow in a time-dependent fashion, with length scales of a few nanometers at early times post infection to dense clusters of several hundred micrometers after hours. Using multicolor-STORM, we can analyze the molecular composition of these clusters at different times, and find different size/shape characteristics for the different proteins. Furthermore, 3D-STORM imaging allows us to detect and to distinguish individual, micrometer-long HA-coated filaments emanating from the plasma membrane, and measure their cross-sections to ∼100 - 150nm. These subdiffraction-limit data serve us as invaluable basis to characterize of the assembly process in the cell context at nanoscopic detail.

The relatively low spatial resolution of the optical microscope presents significant limitations for the observation of biological ultrastructure. Subcellular structures and molecular complexes essential for biological function exist on length scales from nanometers to micrometers. When observed with light, however, structural features smaller than ∼0.2 µm are blurred and are difficult or impossible to resolve. In this article, we describe stochastic optical reconstruction microscopy (STORM), a method for superresolution imaging based on the high accuracy localization of individual fluorophores. It uses optically switchable fluorophores: molecules that can be switched between a nonfluorescent and a fluorescent state by exposure to light. The article discusses photoswitchable fluorescent molecules, STORM microscope design and the imaging procedure, data analysis, imaging of cultured cells, multicolor STORM, and three-dimensional (3D) STORM. This approach is generally applicable to biological imaging and requires relatively simple experimental apparatus; its spatial resolution is theoretically unlimited, and a resolution improvement of an order of magnitude over conventional optical microscopy has been experimentally demonstrated.

Recent advances in fluorescence microscopy have extended the spatial resolution to the nanometer scale. Here, we report an engineered photoconvertible fluorescent protein (pcFP) variant, designated as mMaple, that is suited for use in multiple conventional and super-resolution imaging modalities, specifically, widefield and confocal microscopy, structured illumination microscopy (SIM), and single-molecule localization microscopy. We demonstrate the versatility of mMaple by obtaining super-resolution images of protein organization in Escherichia coli and conventional fluorescence images of mammalian cells. Beneficial features of mMaple include high photostability of the green state when expressed in mammalian cells and high steady state intracellular protein concentration of functional protein when expressed in E. coli. mMaple thus enables both fast live-cell ensemble imaging and high precision single molecule localization for a single pcFP-containing construct. ISSN:1932-6203